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This is to certify that the
thesis entitled
DEER-VEHICLE COLLISIONS: AN UNDERSTANDING OF
ACCIDENT CHARACTERISTICS AND DRIVERS’ ATTITUDES.
AWARENESS. AND INVOLVEMENT
o
3 presented by
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has been accepted towards fulfillment
of the requirements for the

Master of degree in Fisheries and Wildlife
Science

 

  

.

 

Major Professorflnature

December 15, 2005

Date

MSU is an Affirmative Action/Equal Opportunity Institution

 

 

PLACE IN RETURN Box to remove this checkout from your record.
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DEER-VEHICLE COLLISIONS: AN UNDERSTANDING OF ACCIDENT
CHARACTERISTICS AND DRIVERS’ ATTITUDES, AWARENESS, AND
INVOLVEMENT

By

Alix Marcoux

A THESIS

Submitted to
Michigan State University
in partial fulfillment of the requirements
for the degree of

MASTER OF SCIENCE

Department of Fisheries and Wildlife

2005

ABSTRACT

DEER-VEHICLE COLLISIONS: AN UNDERSTANDING OF ACCIDENT
CHARACTERISTICS AND DRIVERS’ ATTITUDES, AWARENESS, AND
INVOLVEMENT

By

Alix Marcoux

Deer-vehicle collisions (DVCs) create societal impacts throughout the range of
white-tailed deer (Odocoileus virginanus). Numbers of reported DVCs (currently
estimated >65,000/yr) in Michigan increased by nearly 60% between 1992-2003. To
better understand where and when to direct education and information programs and to
assess drivers’ knowledge, awareness, and attitudes regarding DVCs, we used Office of
Highway Safety Planning crash data (2001-2003; n = 186,930 accidents) and a self-
administered mail survey to identify DVC and driver (n = 1,653 valid responses)
characteristics in Washtenaw, Oakland, and Monroe Counties in Michigan. These
counties vary in intensity of land use, human and deer densities, and patterns of vehicle
traffic. Drivers believed DVCs to be a serious problem in their area, were at particular
risk of being involved in DVCs between 6pm-6am, and had insufficient knowledge about
avoiding a DVC. Roads with higher posted speed limits provided greater risk to drivers
of involvement in a DVC. Middle-aged drivers, particularly males, were at greatest risk
of being in a DVC. Reporting rates to insurance or police by drivers involved in DVCs
were less than 50%. We identify target audiences for educational programs, and indicate

the most effective channels for distribution.

Copyright by
ALIX MARCOUX
2005

For Mom & Dad,
Your love and support have meant the world to me.

You have encouraged me to be the best I can be.
Thank you.

iv

ACKNOWLEDGEMENTS

The Michigan Department of Transportation and the Institute for Public Policy
and Social Research provided funding for this project. Special thanks to Dick Miller and
AAA for generously printing the survey materials; Southeast Council of Governments
(SEMCOG) for printing a cover letter for the survey; Tom Bruff at SEMCOG and Steve
Schreier at the Office of Highway Safety Planning for providing data and pointing me in
the right direction every time; and Brent Rudolph at the Michigan Department of Natural
Resources for your input and providing deer data. Thank you to the entire Michigan Deer
Crash Coalition for your advice and support throughout the life of this project.

Thank you to my assistants - Jenny Hill, Kim Large, Sarah Panken, and Becky
Berngartt - for all the hard work and long hours you put into getting this survey
completed, mailed, and the data entered. My deepest gratitude to George Berghorn,
Rebecca Christoffel, Ali Felix, Jud Kratzer, Jo Latimore, Stacy Lischka, Veronica Lopez,
Aaron Riley, Emily Riley, Shawn Riley, and Krishnan Sudharsan, who generously
donated their time to help me with numerous signatures, envelope stuffing, and making
the time go faster with great company.

Thank you to the entire Department of Fisheries and Wildlife. ‘Special thanks to
Jill Cruth, Julie Traver, Susan Jones, and Mary Witchell for answering my non-stop
questions and make everything flow so effortlessly. Anita Morzillo, you blazed the
survey trail before me. Thank you for your patience with all my questions and sharing
what you learned along the way. Rebecca Christoffel, thank you for your input,
knowledge, and friendship throughout this process. Dr. Dan Hayes, thank you for

sharing your database expertise with me. Dr. Angela Mertig, thank you for your

guidance with survey development and analysis. Dr. Graham Hickling, thank you for
stepping in at the last minute and providing invaluable advice and direction. I extend my
deepest thanks to my committee -Dr. Graham Hickling, Dr. Shawn Riley, and Dr. Scott
Winterstein - for pushing me to learn and helping me to find the answers. Thank you
Shawn for you belief in my ability to complete this research.

To Katherine Smith, I couldn’t have picked a better roommate and a great fiiend.
Lauren Bailey, your concern, understanding, and friendship meant a lot to me, thank you.
To my ‘other family’, Graham, Di, and my little brother, Jamie, thank you for welcoming
me as another family member and a fiend. Mom, Dad, Alan, and Seth, these past few
years have been the toughest years of our lives but I am proud of how we have stood by

and taken care of each other. If we made it through this, we can make it through

anything.

vi

TABLE OF CONTENTS

LIST OF TABLES ............................................................................... ix
LIST OF FIGURES ............................................................................. xi
THESIS STRUCTURE .......................................................................... 1

Chapter 1: SITUATIONAL AND DRIVER CHARACTERISTICS ASSOCIATED
WITH DEER-VEHICLE COLLISIONS IN SOUTHEASTERN

MICHIGAN

ABSTRACT ................................................................................. 2
INTRODUCTION .......................................................................... 3
METHODS .................................................................................. 5
Data Sources .......................................................................... 6

Data Analysis ........................................................................ 7
RESULTS .................................................................................... 8
Location ............................................................................... 8
Accident Scene Characteristics. .................................................. 9
Vehicle Type ..................................................................... 9

Speed Limit ...................................................................... 10

Road Type ........................................................................ 10

Road Conditions ................................................................. 10

Light Conditions ................................................................. 11

Weather ........................................................................... 11
Accident Timing Characteristics ................................................... 13
Time of Day ..................................................................... 13

Day of Week ..................................................................... 13

Time of Year ..................................................................... 13

Driver Characteristics ............................................................... 17
Gender of Driver ................................................................ 17

Age of Driver .................................................................... 17
DISCUSSION .............................................................................. 19
LITERATURE CITED .................................................................... 23

Chapter 2: A SURVEY OF DRIVER CHARACTERISTICS, ATTITUDES, AND
KNOWLEDGE ABOUT DEER-VEHICLE COLLISIONS IN

SOUTHEASTERN MICHIGAN
ABSTRACT ................................................................................. 26
INTRODUCTION .......................................................................... 27
METHODS .................................................................................. 29
Study Area ............................................................................ 29
Survey Design ........................................................................ 30
Survey Implementation ............................................................. 32

vii

Data Analysis ........................................................................
RESULTS ....................................................................................
Response Rates and Respondent Demographics .................................
Experience With Deer ...............................................................
Attitudes Towards Deer ............................................................
Driver Concerns .....................................................................
Driver Behavior ......................................................................
DVC Rates ............................................................................
Reporting Rates ......................................................................
Responsibility ........................................................................
Knowledge ...........................................................................
Education and Information Disbursement ........................................
DISCUSSION ..............................................................................
LITERATURE CITED ....................................................................

Chapter 3: MANAGEMENT AND RESEARCH CONSIDERATIOS AND

RECOMMENDATIONS FOR INFORMATION AND EDUCATION
PROGRAMS AIMED AT REDUCING DEER-VEHICLE
COLLISIONS .......................................................................

LITERATURE CITED ....................................................................

APPENDICES

Appendix A. UD-lO Traffic Crash Report ..............................................
Appendix B. Survey Pre-Notice letter ...................................................
Appendix C. Cover letters and survey ...................................................
Appendix D. Thank you/Reminder Postcard ...........................................
Appendix E. Cover letter for final survey mailing .....................................
Appendix F. Non-response survey ......................................................

Appendix G. Survey fi'equencies, % response for each question .....................

viii

33
34
34
37
38

41
40

42
44
44
46
47
49
56

59
65

67

69

7O

84

85

96

90

Table 1.

Table 2.

Table 3.

Table 4.

Table 5.

Table 6.

Table 7.

Table 8.

Table 9.

Table 10.

Table 11.

LIST OF TABLES

Human development, traffic conditions, and estimates of deer abundance for
Oakland, Washtenaw, and Monroe Counties, Michigan, USA .................... 9

Effect of various factors on number of DVCs, non-DVCs, and % of total
crashes that were DVCs in Oakland, Washtenaw, and Monroe Counties,
Michigan, USA, 2001-2003 .......................................................... 12

Number of respondents, response rate (%), and percentage of male and female
responses in Oakland, Washtenaw, and Monroe Counties, Michigan, USA...34

Age (range, mean, SD. and n), and % of gender, residential area, and county
of all respondents and non-respondents; DVC involvement (n and %) and
number and % of gender of passengers and drivers involved in DVCs for both
respondents and non-respondents in Oakland, Washtenaw, and Monroe
County, Michigan, USA ............................................................... 36

Percentage and n of respondents for variables representing respondents’
experiences with deer in Oakland, Washtenaw, and Monroe Counties,
Michigan, USA ......................................................................... 37

Respondent attitudes toward deer (% and n for each variable) in Oakland,
Washtenaw, and Monroe Counties, Michigan, USA .............................. 39

Respondent concerns toward DVCs (% and n), placed in order of most
concern to least concern, for Oakland, Washtenaw, and Monroe Counties,
Michigan, USA ......................................................................... 40

Behavioral intentions of respondents (% and n) in different scenarios
involving deer in the road or deer crossing signs, for Oakland, Washtenaw,
and Monroe Counties, Michigan, USA ............................................... 41

Involvement in DVCs; passenger and driver involvement in >1 DVC; and
gender and residential area of drivers involved in a DVC within the past 5
years, Oakland, Washtenaw, and Monroe Counties, Michigan, USA.... . . . ....43

Mean number of miles driven for work and personal reasons by drivers who
had been in a DVC and those who had not in Oakland, Washtenaw, and
Monroe Counties, Michigan, USA ................................................... 43

Number of respondents who did not report DVC to police or insurance and %

of each reason given for not reporting DVC to police or insurance agency,
Michigan, USA ........................................................................ 45

ix

Table 12.

Table 13.

Table 14.

Respondent choices for responsibility for DVC prevention in Oakland,
Washtenaw, and Monroe Counties, Michigan, USA .............................. 45

Mean knowledge scores for respondents based on their level of involvement
in DVCs, gender, and residential area and comparison of means test statistic,
degrees of freedom, and p-value for each variable, Oakland, Washtenaw, and
Monroe Counties, Michigan, USA .................................................. 47

Respondent (%) choices for dispersal of information and education programs
regarding DVCs in Oakland, Washtenaw, and Monroe Counties, Michigan,
USA ...................................................................................... 48

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

LIST OF FIGURES

Trends in a) annual estimate of deer numbers, 1961 — 2004, in Michigan’s
Southern Lower Peninsula (unpublished MDNR data), and b) reported DVCs
in Michigan, 1967 — 2003 (Langenau and Rabe 1987; OHSP 1997, OHSP
2003) ...................................................................................... 3

Location of Oakland, Washtenaw, and Monroe Counties in southeast
Michigan .................................................................................. 5

Variation by hour of day on a) the rate of DVCs, b) the rate of non-DVCs, and
c) % of all accidents that are DVCs, for Oakland, Washtenaw, and Monroe
Counties in Michigan, USA, 2001-2003 ............................................. 14

Variation by day of week in a) the rate of DVCs, b) the rate of non-DVCs, and
c) % of all accidents that are DVCs, for Oakland, Washtenaw, and Monroe
Counties in Michigan, USA, 2001-2003 ............................................. 15

Variation by month in a) the rate of DVCs, b) the rate of non-DVCs, and c) %
of all accidents that are DVCs, for Oakland, Washtenaw, and Monroe
Counties in Michigan, USA, 2001-2003 ............................................ 16

Gender and age effects on the proportion of deer-related vehicle collisions in
a) Monroe, b) Washtenaw, and c) Oakland Counties, Michigan, USA, 2001-
2003 ...................................................................................... 18

xi

THESIS STRUCTURE

This thesis is divided into 3 chapters:

Chapter 1: Situational and driver characteristics associated with deer-vehicle collisions in
southeastern Michigan.

Chapter 2: A survey of driver characteristics, attitudes, and knowledge about deer-vehicle
collisions in southeastern Michigan.

Chapter 3: Management and research considerations and recommendations for
information and education programs aimed at reducing deer-vehicle

collisions.

In Chapter 1, I summarize driver and situational characteristics associated with
deer-vehicle collisions (DVCs) from Michigan traffic crash reports (2001 — 2003) and
calculate the relative risk of each situation involving a deer in Oakland, Washtenaw, and
Monroe Counties. Chapter 2 is a summary of driver attitudes, awareness, and knowledge
of DVCs in Oakland, Washtenaw, and Monroe Counties. These attitudes and beliefs are
compared among drivers who have been involved in a DVC with those who have not.
Chapter 3 discusses possible management, communication, and education strategies
based on findings from Chapter 1 and 2.

Chapters 1 and 2 include an Abstract, Introduction, Objectives, Methods, Results,
Discussion, Literature Cited, and Appendices. Chapter 3 is written as a discussion and

includes Literature Cited.

CHAPTER 1

SITUATIONAL AND DRIVER CHARACTERISTICS ASSOCIATED WITH
DEER-VEHICLE COLLISIONS IN SOUTHEASTERN MICHIGAN

ABSTRACT

Deer-vehicle collisions (DVCs) create societal impacts throughout the range of
white-tailed deer (Odocoileus virginianus). In Michigan reported DVCs increased by
nearly 60% between 1992-2003, with current estimates at more than 65,000 DVCs per
year and a mean of $2,300 vehicle damage. To better understand where to direct
education and information programs, we used Office of Highway Safety Planning
(OHSP) data, 2001-2003, to profile driver characteristics and accident situations of DVCs
in Washtenaw, Oakland, and Monroe Counties in Michigan. Each county varies in
intensity of land use, human and deer densities, and available deer habitat. Deer density
in Washtenaw, Oakland, and Monroe Counties was 49.5, 21.9 and 8.9 deer per miz,
respectively, and the annual rate of DVCs in these counties was 5.3, 2.6 and 1.8 per 1,000
licensed drivers. Drivers are at particular risk of being involved in DVCs between 6pm-
6am, which includes dawn and dusk commuting hours, and night. Single lane roads and
roads with higher posted speed limits provided greater risk to drivers of involvement in a
DVC. Middle-aged drivers, particularly males, were at increased risk of deer-related
collisions. Results from this study will be combined with survey research to determine

how best to educate drivers about risk factors that make occurrence of a DVC more

likely.

INTRODUCTION

Annually, more than 1 million deer-vehicle collisions (DVCs) in the United States

cause nearly 30,000 driver and passenger injuries, 200 human fatalities (Conover et a1.

1995), and an estimated 82,300 in damage per vehicle (R. Miller, AAA safety officer,

pers. com.). The total societal costs of DVCs are unknown due to low reporting rates

(< 50%; Allen and McCullough 1976, Decker et al.1990) and the difficulty of estimating

costs other than vehicle damage. For example, the social costs of DVCs, which may

include human death and often include human injury, property damage, absence from

work, and psychological trauma to victims of accidents and their families, are rarely

factored into equations calculating expenses related to DVCs (Hansen 1983).

Michigan, like many other
states, has seen a marked increase in
white-tailed deer (Odocoileus
virginianus) populations in recent years
and an associated surge in the number
of DVCs over that same period (Figure
1). In 2003, the Michigan Department
of Transportation (MDOT) received
67,790 reports of DVCs (Office of
Highway Safety Planning 2004), which
represented a 59.5% increase from the
42,494 DVCs reported in 1992 (OHSP

2002). Deer-vehicle collisions reported

§

Num bars (in 000's)

800‘
600:
400:
200:
o I

1
1

 

80.

20

Numbers ( in 000’s)

60.

40.

0.

1

 

a) Door population

 

 

b) DVCs

 

1960 1970 1980 1990 2000 2010

Year

Figure. 1 Trends in a) annual estimate of

deer numbers, 1961 — 2004, in
Michigan’s Southern Lower
Peninsula (unpublished MDNR
data), and b) reported DVCs in
Michigan, 1967 — 2003
(Langenau and Rabe 1987;
OHSP 1997, OHSP 2003).

to MDOT in 2003 resulted in 11 fatalities and 1,913 injuries in Michigan.

Wildlife damage management is principally about reducing negative and
increasing positive impacts of wildlife to society (Riley et al. 2002). To better understand
why DVCs are occurring, and to develop effective education, there is a need to better
understand the types of drivers involved in and the physical circumstances associated
with DVCs. Most research on DVCs has assessed deer populations, habitat, and road
design aspects of the problem (Jahn 1959, Pojar et al. 1972, Puglisi et al. 1974, Groot
Bruinderink and Hazebroek 1996, Putman 1997, Hubbard et al. 2000) or their economic
implications (Reed et al. 1982, Hansen 1983, Decker et al. 1990, Conover et a1. 1995).
Engineering solutions directed principally at manipulation of the physical environment
(Foster and Humphries 1995) or deer populations, are not likely to be sufficient for
reducing impacts of DVCs. Yet, no research has thus far been done to profile drivers
involved in DVCs and only limited research has been done to profile the characteristics
of the accident scene and the timing of DVCs (Allen and McCullough 1976) or the
interrelationship of theses variables.

We analyzed situational and driver characteristics associated with DVCs within 3
counties in southeastern Michigan that represent a gradient of human densities, land use
characteristics, and traffic volumes. The aim of the study was to develop improved
profiles that will assist wildlife managers and public safety officials to more effectively
communicate with drivers about how to reduce their risk of experiencing a DVC.
Information and education programs of this type may be a useful tool for supplementing
decisions regarding management of deer populations or the design of roads, aimed at

minimizing societal impacts of DVCs.

METHODS

Our analyses focused on vehicle crash data from Oakland, Washtenaw and
Monroe Counties in southeastern Michigan (Figure 2). These counties were selected
because they encompass a variety of deer habitats, industrial, community, and residential
development, and traffic conditions found in southern Michigan. Oakland is the most
urban of the 3 counties, having experienced the greatest urban sprawl from the Detroit
metropolitan area. Monroe County is the most rural, with large-scale farming still
comprising a majority of the landscape. Washtenaw County is intermediate between the
other 2 counties in terms of human settlement, transportation patterns, and deer habitat
and abundance. Ann Arbor is situated near the middle of the county and over the past 30
years has transitioned to a center for high-tech jobs. Much of the rural landscape has

been converted to small tract housing amid a mix of state land and farms.

 

 

   
   
 

 

60 miles

- camand
Livingston

Washtenaw

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figure 2. Location of Oakland, Washtenaw, and Monroe Counties in southeast
Michigan.

Data Sources

Data on all motor vehicle crashes for the years 2001 — 2003 were obtained from
UD-lO Traffic Crash Reports (Appendix A), provided by the Michigan Office of
Highway Safety Planning (OHSP). These crash reports were completed by law
enforcement and traffic safety officers for all reported vehicle crashes that resulted in 3
$400 in damage to a vehicle. Drivers involved in crashes were categorized by gender,
age, and type of vehicle driven. For the purpose of this study we analyzed the following
six vehicle categories: passenger and station wagon (any sedan type vehicle); van or
motor home (any large van or motor home); pickup (any pickup truck); truck < 10,000
lbs.; motorcycles; and trucks or buses > 10,0001bs. Accident scene characteristics
included: the county the accident occurred in; the number of traffic lanes; speed limit
posted at the scene; timing (hour of day, day of week, and month); weather (clear,
cloudy, fog, rain, snow); road condition (dry, wet, wintry); and light (daylight, dusk,
dawn, dark with artificial lighting, dark with no lighting) conditions.

Human population data from the 3 counties for the period were obtained from the
US. Census Bureau (USCB 2000) and the Southeast Michigan Council of Governments
(SEMCOG) provided information about licensed drivers in the area (Tom Bruff,
SEMCOG, unpublished data). Deer population estimates for the Southern Lower
Peninsula were obtained from the Michigan Department of Natural Resources (B.

Rudolph, MDNR, pers. comm.)

Data Analysis

The raw data provided by the UD-lO reports were counts of DVC and non-DVCs,
with associated driver and situational data for each collision. Such counts reflect the risk
of collision at a given place and time, together with the extent of exposure to that risk.
Risk is determined by situational characteristics of the collision scene in addition to
behavior of deer and drivers, whereas exposure is primarily determined by traffic volume.
Thus a high number of recorded DVCs may reflect a risky situation, high traffic volumes
(usually reported as vehicle miles traveled; VMTs), or both.

Vehicle miles traveled (VMT) data collected by MDOT are available in
aggregated form (i.e., per county per year). However, we did not attempt to correct for
differences in VMTs associated with factors such as weather and road conditions.

Rather, we used the background rate of non-DVCs as a proxy for overall traffic volumes
and calculated the relative risk that collisions in a particular situation were DVCs rather
than non-DVCs. High relative risk values indicated situations where many more DVCs
are occurring than would be expected from the overall accident rate in that situation. Low
relative risk values indicate situations where very few deer are involved among occurring
collisions. Our risk estimates were thus influenced by circumstances that changed the

overall collision rate of drivers.

RESULTS

Location

In 2003, a total of 1,300,647 drivers were licensed in the 3-county study-area
(72% in Oakland, 19% in Washtenaw, and 9% in Monroe). More than 95% of
households in all 3 counties owned at least 1 vehicle (SEMCOG 2003 a, b, c). Workers
in these counties commuted a mean of 25 minutes to and from work (US. Census Bureau
2000)

From 2001 — 2003, throughout the study area 186,930 accidents were reported.
Of those, 9,790 (5.2%) involved or were caused by deer. Oakland is the largest and most
populated with the most roads, vehicle accidents and DVCs (Table 1). Washtenaw has
more than twice as many deer as Oakland, a much higher annual DVC rate per 1,000
licensed drivers, and a much higher proportion of DVCs among the vehicle accidents
occurring in that county. Monroe, the smallest and least populated county in terms of
human and deer density, had the fewest DVCs. Nevertheless, the DVC rate per 1,000
drivers and the proportion of accidents that were DVCs were higher in this agricultural
county than in the more urbanized Oakland County. The proportion of drivers involved
in DVCs per 1,000 drivers in Washtenaw County was more than 2x greater than Monroe

County and approximately 7x greater than as in Oakland County.

Table 1. Human development, traffic conditions, and estimates of deer abundance for

Oakland, Washtenaw, and Monroe Counties, Michigan, USA.

 

 

 

Oakland Washtenaw Monroe

Type of community Urban/Suburban Suburban/Rural Rural
Area (miz) “ 907 723 561
Peeple per miz a 1,369 455 265
Total length of roads (mi) b 5,532 2,326 1,725
Average commute to work (min) 27 22 24
Percentage of agricultural land ° 7 41 62
Estimated deer population d 19,846 35,315 4,968
Deer per mi2 21.9 49.5 8.9
Number of licensed drivers 941,669 241,920 1 17,053
Annual number of DVCs e
(2001_2003) 1,666 1,293 303
Annual DVC rate (per 1,000
drivers) 1.77 5.34 2.59
Average posted speed limit at
location of DVC / Non-DVC 47.9 / 42.8 53.0 / 42.5 54.6 / 42.7
accidents (MPH)
Percentage of all vehicle crashes
that were DVCs ° 3'6 9'2 6'5

a USCB (2000)

b OHSP (20020)

c SEMCOG (2003a, b, c)

d B. Rudolph (pers. comm.)
° SEMCOG (2003d); data for 2002 only

Accident Scene Characteristics

Vehicle Type

A minimum of 9,837 vehicles were involved in DVCs reported from 2001-2003.

There were more vehicles than DVCs (n = 9,790) because a single accident sometimes

involved more than 1 vehicle. Of the total number of vehicles involved, 67% involved

passenger vehicles or station wagons, and 20% involved pickup trucks. Of the 328,551
vehicles involved in non-DVCs, 73% were passenger vehicles or station wagons and 13%
were pickup trucks. The difference between the number of non-DVCs (n = 177,140) and
the number of vehicles involved was much greater for non-DVCs because these accidents
often involved more than 1 vehicle, whereas DVCs were mostly 1-vehicle collisions.
Pick-up truck collisions were more at risk than any other vehicle to involve deer
(Table 2a). Collisions involving pick-up trucks were almost twice as likely as passenger
vehicles to involve a deer, whereas trucks and buses > 10,000 lbs. were the least likely

vehicles to have collisions that involved deer.

Speed Limit

Roads with speed limits between 45 and 70 mph posed the greatest risk to drivers
that collisions would involve a deer (Table 2b). For example, roads with posted limits of
55-60 mph had 13x the risk of roads with a 35—40 mph speed limit. Roads with speed

limits below 40 mph were the least risky in terms of DVCs.

Road Type
Roads with 2 lanes held the greatest risk that collisions would involve deer,
whereas roads with 4 or more lanes held the least risk (Table 26). Two-lane roads were

twice as risky as 3-lane roads and almost 10x as risky as roads with 4 or more lanes.

Road Conditions
Accidents occurring on dry roads were nearly 2x as likely to involve deer as
accidents that occurred on wet roads (Table 2d). Accidents occurring on roads with

wintry conditions were the least likely to involve a deer.

10

Light Conditions

A greater percentage of DVCs (68.1%) were reported to occur in conditions
described as dark than non-DVCs (21.8%). Of these DVCs, more than 90% occurred in
conditions described as dark unlighted, whereas less than 50% of non-DVCs were
reported in these same conditions.

Accidents occurring during dawn, dusk, and at night in unlighted conditions were
the most likely to involve deer (Table 2e). Of all accidents that occurred in dark
unlighted conditions, 25.2% involved deer. Accidents in dark unlighted conditions were
nearly 17x as likely to involve deer as accidents that occurred in the daylight. Accidents
occurring in the evening with artificial lighting were less likely to involve deer than

accidents at dawn, dusk, and unlighted evening conditions.

Weather

The rate of occurrence for DVCs and non-DVCs was similar across different
weather conditions. Clear weather conditions were recorded when 54.5% of DVCs and
51.7% of non-DVCs occurred. For 34.0% of DVCs and 28.3% of non-DVCs, cloudy
weather was recorded at the time of collision. DVCs were a relatively small proportion
of the collisions reported during rainy (DVCs = 5.9% and non-DVCs = 11.2%) and
snowy (DVCs = 2.4% and non-DVCs = 7.1%) conditions.

Accidents were particularly likely to involve deer during foggy weather (DVCs
comprised 18.1% of all accidents during fog; Table 2f). The lowest risk of collisions
involving deer was associated with rainy and wintry conditions. Accidents occurring
during clear and cloudy weather were 0.3 1x and 0.35x as likely to involve a deer as

accidents occurring during foggy weather.

11

Table 2. Effect of various factors on number of DVCs, non-DVCs, and %
of total crashes that were DVCs in Oakland, Washtenaw, and
Monroe Counties, Michigan, USA, 2001-2003.

 

 

ACCIDENT FACTOR DVCs Non-DVCs DVCs as %
of total
a) Vehicle type:
Passenger, station wagon 6,544 240,307 2.7
Van, motor home 908 25,161 3.5
Pickup 1,973 41,481 4.5
Trucks < 10,000 lbs. 299 10,060 2.9
Motorcycles 30 1,41 1 2.1
Trucks and buses > 10,000 lbs. 71 8,683 0.8
b) Posted speed limit (mph):
0 1 247 0.4
5-20 3 646 0.5
25-30 448 34,584 1.3
35-40 786 44,236 1.8
45-50 3,852 55,314 6.5
55-60 3,223 10,652 23.2
65-70 1,100 22,034 4.8
c) Road type:
Single lane 254 4,681 5.2
Two lanes 8,078 70,355 10.3
3 lanes 648 27,196 2.3
4 or more lanes 660 70,418 0.9
(1) Road conditions:
Dry 7,940 120,527 6.2
Wet 1,206 33,345 3.5
Ice, slush, snow 300 17,104 1.7
e) Lighting conditions:
Daylight 1,952 125,953 1.5
Dark, with artificial lighting 499 19,954 2.4
Dawn 697 4,142 14.4
Dusk 389 5,160 7.0
Dark, with no lighting 6,109 18,172 25.2
1) Weather conditions:
Clear 5,285 90,413 5.5
Cloudy 3,295 49,429 6.3
Fog, smoke 133 603 18.1
Rain, sleet, hail 574 20,054 2.8
Snowing, blowing snow 230 12,382 1.8

 

l2

Accident Timing Characteristics
Time of day

The non-DVC accident rate was low overnight, showed an initial peak during the
0800-0900 hr commuter traffic, and then increased progressively during the day to a
more pronounced peak during the 1700-1800 hr commuter traffic (Figure 3b). In
contrast, the DVC accident rate had 2 very pronounced peaks at 0600-0700 hr and 1800-
1900 hr, 3 very low rate during the middle of the day, and a moderate rate during the
hours of darkness (Figure 3a). The proportion of accidents involving deer peaked at
dawn, and was consistently higher at night than during the day (Figure 3c). These

patterns were similar in all 3 counties.

Day of week

Non-DVC accidents were slightly more common on weekdays than during the
weekend, particularly in Washtenaw and Oakland counties (Figure 4b), whereas, the
DVC accident rate was relatively similar throughout the week in all 3 counties (Figure
4a). Consequently, the proportion of accidents involving deer increased during the

weekend (Figure 40).

Time of year
The rate of non-DVCs was relatively constant seasonally, with only a slight rise in
winter months (Figure 5b). In contrast, in all 3 counties there was a pronounced increase

in the rate and percentage of DVCs from October through January (Figure 5a,c).

l3

-—°— Washtenaw
' ' "' ' ' Monroe

160 l a) DVCs +Oakland
§ 120
.3 g g 80 . ,‘I'I-I...
g 8. 4o - ' '
I
O _ n n.- - -

 

 

 

, b) Non-DVCs

 

 

 

 

 

 

40.0-
c)DVCs
30.0-
’-
20.0- " I
' 1“-
10.04 ."
~ 4 7‘ t‘
0.0- I I I I I T I I Th— ‘Ti;;éi‘r I I I I I I
.8. 8 8 8 8 8 .8. .8. 8

Hour of day

Figure 3. Variation by hour of day on a) the rate of DVCs, b) the rate of
non-DVCs, and c) % of all accidents that are DVCs, for
Oakland, Washtenaw, and Monroe Counties in Michigan, USA,
2001-2003.

14

—°-— Washtenaw

300 ' ' "' ' ' Monroe
' a) DVCs +Oakland

 

 

 

 

 

.55
o

3
go
<

O

tn

10.0 1

5.0 -

 

 

 

 

0-0 ‘ I I I I I I I
Mon Tue Wed Thu Fri Sat Sun

Day of week

Figure 4. Variation by day of week in a) the rate of DVCs, b) the rate of
non-DVCs, and c) % of all accidents that are DVCs, for
Oakland, Washtenaw, and Monroe Counties in Michigan,
USA, 2001-2003.

15

Figure 5.

400

300

200 «

‘1

 

 

 

—O— Washtenaw

a) DVCs ‘ ' "" ' ‘ Monroe
-—+- Oakland

 

 

 

 

Variation by month in a) the rate of DVCs, b) the rate of non-
DVCs, and c) % of all accidents that are DVCs, for Oakland,
Washtenaw, and Monroe Counties in Michigan, USA, 2001-
2003.

16

Driver Characteristics
Gender of driver

The sex ratio of drivers in each county was very close to 1, whereas the
percentage of DVCs and non-DVCs were skewed toward male drivers (61.0% and 56.5%
male, respectively). Throughout each age range the percentage of male licensed drivers
in the population remained consistently around 50%, until around age 65, beyond which
the sex ratio became progressively more female-biased. Yet, the percentage of male
drivers involved in both DVCs and non-DVCs was greater than 50 for all ages, peaking at

76.7% for 80 — 84 yr old drivers.

Age of driver

The mean age of drivers involved in DVCs (39.9 yr) was slightly greater than the
mean age of drivers involved in non-DVCs (37.5 yr). The mode for drivers involved in
DVCs, however, was 44 yr with a median of 40 yr, whereas the mode for drivers
involved in non-DVCs was 17 yr with a median of 35yr.

In all 3 counties, the proportion of collisions that involved deer increased steadily
with age to a peak at ages 45 to 59 yr and then decreased among older drivers (Figure
6a, b, c). Male drivers were more likely than female drivers to hit deer, although this
gender difference was more pronounced in Washtenaw and Oakland Counties than in

Monroe.

17

4CD -
3.11) -
2(1) -
1.00 -
0.00 - ‘3

 

 

 

12.0 -

 

 

 

DVCs as a % of all collisions

 

 

 

20-
10-
0-.......4..-.
03030303030)
Seventeen
VLOLOLDLOLDLO
NCOVLOCON
Dnverage(Years)

Figure 6. Gender and age effects on the proportion of deer-related
vehicle collisions in a) Monroe, b) Washtenaw, and c)
Oakland Counties, Michigan, USA, 2001-2003.

18

DISCUSSION

Deer-vehicle collisions are just one of many hazards facing motorists but the
greatest hazard involving wildlife (Romin and Bissonette 1996). Deer may be involved
in nearly 15% of all vehicle accidents on roads with speeds of 45 to 60 mph, many which
were constructed when the landscape was predominantly rural. Reduction of deer herd
size and fencing are perceived by wildlife and transportation managers to be the two
techniques with the strongest potential to reduce DVCs (Sullivan and Messmer 2003).
Yet, reducing the rate of DVCs in many areas occupied by white-tailed deer will be
challenging because of a growing inability to control white-tailed deer populations
through public hunting (Riley et al. 2003) and because of excessive cost associated with
fencing and other structures (Foster and Humphries 1995).

The higher density of deer in Washtenaw County and higher proportion of drivers
commuting to work from rural into urban-suburban areas during the weekday, likely
caused more DVCs per 100,000 people than in either of the other counties. The
agricultural landscape of Washtenaw and Oakland Counties, like much of the upper
Midwest, has gradually shifted from an agriculturally dominated landscape to a mix of
remnant farms and small, fragmented land ownership patterns (Johnson 1993, Gobster et
al. 2000). Projections about future land-use in southern Michigan suggest increases in
commuter traffic volume due to this land-use change are likely to continue through at
least 2020 (Madill and Rustem 2001), and as such DVCs are likely to be a continuing
impact from wildlife. Residents can be expected to desire reduced deer herd size if the

real or perceived risk of DVCs increases further (Stout et al. 1993). If deer herds cannot

19

effectively be reduced through public hunting (Brown et al. 2000), information and
education directed toward motorists may play an important role in management of DVCs.

Educating drivers about the specific factors that put them at greater risk for
involvement in a DVC (e.g. hourly, monthly, and seasonal timing of DVCs; speed; and
reduced visibility) will give them the choice to modify their driving behavior therefore
reducing their risk of involvement in a DVC. Based on our data, information directed
towards motorists should focus on raising awareness of when drivers need to be driving
more cautiously with deer in mind. These timing characteristics should include time of
year: the risks of DVCs increases markedly in fall, with a peak in mid-November.

During any 24-hr period, dusk and especially dawn are hazardous times, and the risks
increase even more with travel in deer habitat afier dark. Allen and McCullough (1976)
found a strong relationship between deer activity and the rate of collisions. As evening
traffic increased in correspondence with deer feeding times, DVCs also increased; after
the morning peak in DVCs, traffic continued to increase but DVCs decreased suggesting
a decrease in deer activity. Similarly, increased movement of deer during the fall rut may
account for the peak of DVCs during those times.

If posted speed limit is an indicator of the average speed traveled at the point of
collision speed affects the chance that occurring collisions will involve a deer. Reducing
speed by 10 — 15 mph may considerably decrease the risk of hitting a deer by increasing
visibility and reaction time. The large amount of risk associated with 2-lane roads is an

indication that DVCs are likely to occur where there are high-speed roads traveling

through deer habitat.

20

Weather conditions affect DVCs by affecting drivers’ road visibility, deer
activity, and possibly human behavior. Deer are most likely to be less active during foul
weather conditions, therefore creating less risk to drivers under wintry weather conditions
and icy, slushy, and snowy roads. The same is true, to a lesser degree, with rainy weather
and wet road conditions. The high risk associated with foggy weather suggests visibility
plays an important role in reducing DVCs.

Understanding who is involved in DVCs can help target communication
programs. In southeast Michigan, these drivers are most likely to be commuters. The
individual risk of DVCs, however, may be pre—commuter time and affect those people
who drive for a variety of reasons after dusk and before dawn. The youngest age classes
of drivers are typically the focus of driver education because of their per capita rate of
crashes. To reduce DVCs, however, information and education will have to also focus on
people 3 30yr old, in the middle of their working years, with special attention to male
drivers.

Much of the categorical UD-lO crash data is subjective to the judgment of law
enforcement officials at the scene of the accident or to the accident victim who reported
the DVC. These data reflect judgments of various officers, who filled out UD-10 Traffic
Crash Reports. We recognize judgments by so many different data collectors likely
introduced biases in the data. These biases, however, were not revealed in numerous
discussions over a 2-year period with personnel from MDOT and OHSP.

All drivers should be educated about the risk factors that make an occurrence of a
DVC more likely. Drivers can lower their risk of being involved in a DVC by using

more caution, slowing their speed, and remaining alert and aware in areas and at times

21

associated with increased DVC risk. Drivers fitting the ‘at risk’ gender and age profile
should use extra caution at all times. Future research should focus on specific approaches

for most effectively getting this information to drivers.

22

LITERATURE CITED

Allen, R.E., and D. R. McCullough. 1976. Deer-car accidents in southern Michigan.
Journal of Wildlife Management 40: 317—325.

Brown, T.L., D. J. Decker, S. J. Riley, J. W. Enck, T. B. Lauber, and G. F. Mattfeld.
2000. The future of hunting as a mechanism to control white-tailed deer
populations. Wildlife Society Bulletin 28: 797—807.

Conover, M.R., W.C. Pitt, K.K. Kessler, T.J. DuBow, and WA. Sanbom. 1995. Review
of human injuries, illnesses, and economic losses caused by wildlife in the United
States. Wildlife Society Bulletin 23: 407—414.

Decker, D.J., K.M. Loconti-Lee, and NA. Connelly. 1990. Deer-related vehicular
accidents in Tompkins County, New York: incidence, costs, and implications for
deer management. Transactions Northeast Section Wildlife Society 47: 21—26.

Foster, R.T.T., and SR. Humphries. 1995. Use of highway underpasses by Florida
panthers and other wildlife. Wildlife Society Bulletin 23: 95—100.

Gobster, P.H., R.G. Haight, and D. Shriner. 2000. Landscape change in the Midwest: an
integrated research and development program. Journal of Forestry 98: 9—14.

Groot Bruinderink, G.W.T.A. and E. Hazebroek. 1996. Ungulate traffic collisions in
Europe. Conservation Biology 10: 1059—1067.

Hansen, C. S. 1983. Costs of deer—vehicle accidents in Michigan. Wildlife Society
Bulletin. 11: 161—164.

Hubbard, M.W., BJ. Danielson, and RA. Schmitz. 2000. Factors influencing the
location of deer-vehicle accidents in Iowa. Journal of Wildlife Management. 64:
707—713.

Jahn, LR. 1959. Highway mortality as an index of deer population change. Journal of
Wildlife Management 23: 187—197.

Johnson, K. M. 1993. Demographic change in nonmetropolitan America. Rural
Sociology 58: 347—365.

Langenau, E. E. and M. L. Rabe. 1987. Deer-vehicle accidents in Michigan: a task force

report. Michigan Department of Natural Resources Wildlife Division Report
Number 3072.

23

Madill, H., and W. Rustem. 2001. Michigan land resource project. Public Sector
Consulting, Lansing, Michigan, USA.

Office of Highway Safety Planning. 2004. 2003 Michigan Traffic Crash Facts: A
summary of traffic crashes on Michigan roadways in calendar year 2003. East
Lansing, Michigan, USA.

. 2003. 2002 Michigan Traffic Crash Facts: A summary of traffic crashes on
Michigan roadways in calendar year 2002. East Lansing, Michigan, USA.

. 2002. 2001 Michigan traffic crash facts: a summary of traffic crashes on
Michigan roadways in calendar year 2001. East Lansing, Michigan, USA.

. 1997. 1996 Michigan traffic crash facts: a summary of traffic crashes on
Michigan roadways in calendar year 1996. East Lansing, Michigan, USA.

Pojar, T. M., D. F. Reed, and T. C. Reseigh. 1972. Highway Construction-Motorist and
Deer Safety. Proceedings of the F ifiy-Second Annual Conference of Western
Association of State game and Fish Commissioners, July 16-19, 1972. Portland,
Oregon.

Puglisi, M.J.; J .S. Lindzey, and ED. Bellis. 1974. Factors associated with highway
mortality of white-tailed deer. Journal of Wildlife Management 38: 799—807.

Putman, R.J. 1997. Deer and road traffic accidents: options for management. Journal of
Environmental Management 51: 43—57.

Reed, D.F., T.D.I. Beck, and TN. Woodard. 1982. Methods of reducing deer-vehicle
accidents: benefit-cost analysis. Wildlife Society Bulletin. 10: 349—354.

Riley, S.J., D]. Decker, J .W. Enck, and PD. Curtis. 2003. Deer numbers up, deer
hunters down: partial controllability of white-tailed deer in northeastern United
States. Ecoscience 6: 455—461.

Riley, S. J ., D]. Decker, L.H. Carpenter, J .F. Organ, W.F. Siemer, G.F. Mattfeld, and G.
Parsons. 2002. The essence of wildlife management. Wildlife Society Bulletin
30: 585—593.

Romin, LA, and J .A. Bissonette. 1996. Deer-vehicle collisions: status of state
monitoring activities and mitigation efforts. Wildlife Society Bulletin 24: 276—
283.

Southeast Michigan Council of Governments. 20030. Community profile for Oakland
County. Detroit, Michigan, USA. Accessed July 23, 2003 at
http://\va.semcogorg/cgi-bin/comprol‘/profiles.cfm

24

. 2003b. Community profile for Washtenaw County. Detroit, Michigan, USA.
Accessed July 23, 2003 at http:wanv.semcogorg/cgi-bin/comprof/profiles.cfm

. 2003c. Community profile for Monroe County. Detroit, Michigan, USA.
Accessed July 23, 2003 at http:flwvxw.semcogorg/cgi-bin/comprof/profiles.c1‘m

 

. 2003d. 2002 Southeast Michigan Traffic Crash Facts. Detroit, Michigan, USA.

Stout, R.J., R.C. Stedman, D.J. Decker, and B.A. Knuth. 1993. Perceptions of risk from
deer-related vehicle accidents: implication for public preferences for deer herd
size. Wildlife Society Bulletin 21: 237—249.

Sullivan, TL, and TA. Messmer. 2003. Perceptions of deer-vehicle collision
management by state wildlife agency and transportation administrators. Wildlife
Society Bulletin 31: 163—173.

United States Census Bureau. 2000. Summary File 1 (SF1) and Summary File 3 (SF 3).
Washington, DC, USA.

25

CHAPTER 2

A SURVEY OF DRIVER CHARACTERISTICS, ATTITUDES, AND
KNOWLEDGE ABOUT DEER-VEHICLE COLLISIONS IN SOUTHEASTERN
MICHIGAN.

ABSTRACT

More than 1 million deer-vehicle collisions (DVCs) are reported annually in the
United States, resulting in nearly 30,000 driver and passenger injuries, 200 human
fatalities, and an estimated $2,300 in damage per vehicle. In Michigan, more than 65,000
DVCs are reported annually; an increase of nearly 60% since 1992. To facilitate the
development of driver education and information programs we investigated
characteristics, knowledge, and attitudes of drivers regarding DVCs in Oakland (urban-
suburban), Washtenaw (suburban-rural) and Monroe (rural) counties in southeast
Michigan. A self-administered, mail-back survey was sent to 3,681 licensed drivers in
the 3 counties, and we received 1,653 (48.4%) valid responses. Responses indicated
17.2% of respondents had been involved as drivers in a DVC. Males were involved in
66.7% of DVCs and only 46.3% of DVCs were reported to police and 52.1% reported to
an insurance agency. Drivers were unaware of situations where risk of DVC involvement
was greatest. Respondents involved in DVCs were most likely to want reduced deer

population sizes. We identify target audiences for educational programs.

26

INTRODUCTION

Deer-vehicle collisions (DVCs) have increased in recent years throughout the
range of white-tailed deer (Odocoileus virginanus), creating serious costs to society while
killing or injuring millions of animals (Conover et al. 1995). These costs can include
human death but more often include human injury, property damage, absence from work,
and psychological trauma to victims of accidents and their families (Hansen 1983). More
than 65 ,000 DVCs have been reported annually in Michigan since 1996 resulting in an
average of 7 fatalities and 1,880 injuries to humans per year (OHSP 2004).

Actual costs of DVCs are difficult to accurately estimate due to underreporting
rates, which were speculated to be as high as 50% (Allen and McCullough 1976; Decker
et al. 1990). Numbers of DVCs reported to the Wisconsin Department of Transportation
through police accident reports (n = 19,595 DVCs) were greatly exceeded by the number
of deer road-kill carcasses (n = 41,829) picked up by the Wisconsin Department of
Transportation, and also conflicted with the number of DVC insurance claims (n =
45,684) submitted in that state (Krohm 2000).

Efforts to reduce the number of DVCs are likely to require more effective
information and education programs aimed at changing driver behaviors. Previous
studies suggested education as a means for reducing DVCs (Allen and McCullough 1976,
Groot Bruinderink and Hazebroek 1996, Decker et al. 1996, Romin and Bissonette 1996),
yet little information exists about drivers involved in DVCs on which to base such

programs. Better demographic and socioeconomic information are needed about drivers

27

to determine who may be involved in DVCs and where they obtain their educational
information. We surveyed drivers in southeast Michigan to learn about their knowledge,
beliefs, and attitudes toward DVCs and the effect of DVCs on attitudes towards deer and
agencies managing deer and transportation. Based on this research, we recommend how
education and communication campaigns aimed at reducing the frequency of DVCs can

be improved.

28

METHODS

Study Area

Oakland, Washtenaw, and Monroe Counties in southeast Michigan were selected
for study because they represent a range of deer habitats, human development, and traffic
conditions that currently occur or will likely occur in the near future throughout southern
Michigan. Situated close to Detroit, Oakland County is the most urban in the study area.
Monroe County, the most rural, has a landscape consisting mostly of large amounts of
farmland. Washtenaw is a mostly suburban county with the city of Ann Arbor, located
near the middle of the county, drawing a large number of commuters from surrounding
rural landscapes. Approximately 95% of the households in all 3 counties own at least 1
vehicle (SEMCOG 2003 a, b, c). The working population in each of these counties
commutes an average of 25 minutes to work (U .S. Census Bureau 2000). Comprehensive
community data were obtained fi'om the Southeast Michigan Council of Governments
(SEMCOG) and the US. Census Bureau (USCB). SEMCOG maintains a website that
provides data on land use, population and community statistics, and transportation data
(SEMCOG 2005).

Washtenaw contains the largest deer population of the 3 counties, with
approximately 50 deer/mi2 (Brent Rudolph, Michigan Department of Natural Resources,
pers. com). The proportion of all crashes that are DVCs is highest in Washtenaw
County, even though Oakland has the larger overall number of DVCs (>l,600 annually).
Monroe, with the smallest population of deer and fewest roadways, has the fewest DVCs

yet the second largest proportion of DVCs to total crashes of the 3 counties.

29

Survey Design

We used a self-administered mail survey to determine driver attitudes and
knowledge towards DVCs and characteristics of their involvement with DVCs. To
develop the survey instrument, 30 open-ended interviews (10 in each county) of adult
drivers 218 years were conducted at parks and malls in each county during summer and
fall 2003. The purpose of these interviews was to identify salient issues and understand
terminology used among drivers. Results were then used to develop questions for the
self-administered survey.

Questions on the survey were designed to gather information relevant to 4 main
objectives: 1) compare profiles of drivers involved in DVCs with driver profiles obtained
previously from UD-10 traffic crash reports (Marcoux et al. 2005); 2) estimate reporting
rates of drivers involved in DVCs; 3) examine how involvement in a DVC affects
attitudes of drivers; and 4) examine respondents’ current knowledge of DVCs and
identify areas where knowledge may be lacking.

Profiles of respondents were determined by a series of demographic questions
including the type of area they lived in, the type of vehicle they drove most regularly, and
their gender, age, and highest level of education. Drivers, who had been involved in a
DVC, were asked to fill out a special section addressing the situational characteristics of
their particular DVC. The number of respondents from this section indicating they did
not report their DVC (within the last 5 years) to authorities was used to determine
reporting rates to police and insurance agencies. Respondents were asked why they

chose not to report their DVC.

30

Data on attitudes, beliefs, and behaviors of drivers and passengers in DVCs were
compared to equivalent data from drivers who had not experienced a DVC. These
questions focused on driver behaviors associated with DVCs and the level of concern
drivers held about the possible consequences of being involved in a DVC. In particular,
we investigated whether level of concern regarding involvement in a DVC was great
enough to change driving behavior in a manner intended to decrease the probability of
being involved in a DVC.

We also asked a series of 5 questions that measured motorists’ knowledge of
behaviors that will help to avoid a DVC and awareness of conditions in which DVCs are
most likely to occur. We tested motorists by using information that the Michigan Deer
Crash Coalition, an organization of traffic and safety professionals working to reduce
DVCs, considered correct at the time of the survey. For each knowledge question,
responses were coded as 2 if the respondent answered ‘definitely true’, 1 if ‘probably
true’, and 0 for ‘definitely false’, ‘probably false’, and ‘unsure’ responses. Points for
each question were totaled, with each respondent receiving a score between 0 and 10.
Only those respondents who answered at least 4 of the 5 questions were included in this
part of the analysis; if a respondent missed only 1 question they were assigned a 0 for that
particular question. We considered an ‘unsure’ response to indicate a lack of knowledge
and therefore included those answers in our analyses. We used independent samples t-
tests to compare mean knowledge scores of male and female drivers, and mean scores of
drivers who had been involved in DVCs in the last 5 years with those who had not.

The non-response survey was designed to detect potential bias in our results from people

who did not respond to the original survey. To encourage response, the non-response

31

questionnaire was limited to 7 key questions regarding demographics, experience with
deer, DVC involvement, and reasons for not answering the original survey. We mailed
the non-response questionnaire to all drivers who had not returned the original survey

within 6 weeks of the first mailing.

Survey Implementation

A random sample was chosen from a database of licensed drivers aged 18 and
older, who were registered in Oakland, Washtenaw, and Monroe Counties on 24 March
2004. A complete list of licensed drivers was requested for Washtenaw and Monroe
Counties. Oakland County, with its highly urban population, was assumed to have fewer
drivers involved in DVCs in its most urbanized-areas; therefore, to ensure a greater
likelihood of sampling drivers who had been involved in a DVC, we requested a list of
drivers living in zip codes somewhat removed from the convergence of several major
highways close to Detroit. The list for Oakland County was further filtered to remove
names of those who lived in surrounding counties, but shared a zip code with
communities in Oakland. Approximately 1,200 records were randomly picked from each
county for a total of 3,681 surveys sent to drivers in our study counties.

The survey instrument, developed during fall and winter 2003-2004, was first
mailed on 19 April 2004. The mailing procedure was guided by a modified version of
the Tailored Design Method (Dillman 2000). We sent up to 4 mailings (Appendices B-E)
to each person in the sample frame. In addition to our own cover letter, a letter from
SEMCOG encouraging participation in the study was included with the first mailing of

the questionnaire to Oakland and Monroe Counties. (Due to a mistake by the printing

32

company Washtenaw received only the general cover letter.) As an incentive to complete
and return the survey, 3 first-class postage stamps were included in the first mailing of
the survey. Those who had not returned the survey within 6 weeks of the first mailing
received a short survey (Appendix F) to assess non-response bias. Confidentiality of
respondents was maintained by placing identification numbers on each survey.
Questionnaire development and survey protocol were reviewed by the University
Committee on Research Involving Human Subjects, and approved under Internal Review

Board # 04-075.

Data Analysis

We used SPSS for all data analyses and database management (SPSS 2003).
Frequencies and summary statistics were calculated for all variables (Appendix G).
Respondents involved in a DVC as a driver answered situation-specific questions
regarding characteristics of their individual DVC. Drivers who had been involved in
DVCs were further divided into 2 groups based on the time elapsed since their accidents
(SS years and >5 years ago). We limited all analyses concerning DVC involvement to
only those respondents who had been a driver in a DVC in the past 5 years. We used
independent-samples t-tests to test for differences between DVC involvement as a driver
and mean knowledge scores and mean miles driven for work (tw) and personal (tp)
reasons. We used analysis of variance to test for differences in mean knowledge scores
for the HIT variable (i.e., driver in DVC, passenger in DVC, both, or none) and for the
residential area variable. We used crosstabs and chi-square analyses to test for

differences in DVC involvement and several categorical variables.

33

RESULTS

Response rate and respondent demographics

After excluding all ineligible surveys (e. g., from bad addresses or death of the
intended respondent), we achieved a response rate of 48.4% (n = 1,653). An overall
sampling error of :2.4% was estimated at a 95% confidence level using the most
conservative estimate (50%) of the standard error of a binomial (Salant & Dillman 1994;
Babbie 1998). Response rates were similar for the 3 counties (Table 3) with respondents
residing in urban (16.7%), rural (38.0%), and suburban (45.3%) areas (Table 4). The
average age of the drivers was 47.8 yrs (s.d. 15.5; range 18 — 90 yrs.). Males and females
each make up 50% of the licensed driver population in the study area (Tom Bruff,
SEMCOG, unpublished data), but we received slightly more responses from females
(52.7%). Nearly 75% of respondents had attended at least some college, with 21.9%
having earned a 4—year college degree and 19.7% having attained a graduate or

professional degree.

Table 3. Nmnber of respondents, response rate (%), and % of male and
female responses in Oakland, Washtenaw, and Monroe Counties,

 

 

Michigan, USA.
Number of Response Percent Percent
County Respondents RateI Male Female
Oakland 55] 47.5 47.8 51.5
Washtenaw 547 49.4 43.9 55.2
Monroe 554 48.2 46.9 51.4
Overall 1,653 48.4 46.2 52.7

 

l About 1% of respondents did not provide information of their gender on the survey.

34

We received 196 responses (10.2% response from respondents who had not
previously responded) to the short non-response survey. Average age (46.9 years; s.d.
17.8; range 18-92 years), proportion of female respondents (53.0%), and proportion of
respondents from each residential area in the non-respondent sample were similar to the
original survey sample (Table 4). The highest pr0portion of responses to the non-
response survey came from residents of Washtenaw County and the smallest proportion
of responses came from Oakland County residents.

Of non-respondents, 19.1% (n = 36) stated they were involved in a DVC either as
a driver or a passenger. Drivers in DVCs made up 12.7% (n = 24) of the sample and
passengers made up 6.4% (n = 12) of the sample. Males were involved in 56.5% of
DVCs as a driver and only 27.3% as a passenger. Of those involved in DVCs (passenger
or driver) 36.1% (n = 13) were involved in more than 1 DVC.

Although we received slightly more responses to the overall survey from females
(52.7%), we suspect a male bias in the reporting of involvement in DVCs. The reason we
suspect this response bias is because the proportion of responses from male drivers
involved in DVCs (66.7%) was higher than the proportion of DVCs involving males

(61.0%) from the UD-10 traffic crash data (See Chapter 1).

35

Table 4. Age (range, mean, SD. and n), and % of gender, residential area, and county of
all respondents and non-respondents; DVC involvement (n and %) and number
and % of gender of passengers and drivers involved in DVCs for both
respondents and non-respondents in Oakland, Washtenaw, and Monroe County,

 

 

Michigan, USA.
Variable Statistic Respondents Non-Respondents
Age' Range 19 — 90 yrs 17 -— 92 yrs
Mean 47.9 yrs 46.8 yrs
Std. Dev. 15.5 17.8
n4 1,602 170
Gender2 % Male 46.7 47.0
% Female 53.3 53.0
n4 1,635 183
Residential Area3 % Rural 38.0 37.9
% Suburban 45.3 42.3
% Urban 16.7 19.8
n4 1,629 182
County % Oakland 33.3 28.2
% Washtenaw 33.1 41.5
% Monroe 33.6 30.3
n4 1,651 195
DVC Involvement" % Driver 11.9 (17.2)7 15.7
% Passenger 6.2 7.8
n5 1,652 153
Drivers % Male 66.3 56.5
% Female 33.7 43.5
n5 196 23
Passengers % Male 50.5 27.3
% Females 49.5 72.7
n5 101 11

 

O‘thhb-DN—

In what year were you born? (Age = 2004 — year born)
Are you male or female?

In what type of area do you live?
Calculated from all respondents
Calculated from respondents with DVC involvement

Original survey asked if they had been in a DVC as both a driver and a passenger, whereas non-
response survey asked if they had ever been a driver or passenger in a DVC. Therefore, percentages
could be overlapping for original survey respondents; drivers and passengers could include some of the

same people.

Percentage DVC involvement within the past 5 years (Percentage DVC involvement ever)‘

36

Experience with deer

Almost 90% of respondents observed deer in the wild and 79% believed deer
were common in the area where they live (Table 5). Most respondents (94.3%) reported
that they had seen a deer while driving and 30.8% reported seeing them at least weekly.
Only 5.2% of respondents reported that they had never seen a deer while driving.
Respondents involved in DVCs as drivers were more likely to see deer at least weekly or
more often (50.6%) and most respondents, who were not a driver in a DVC, saw deer

monthly or less often (71.8%; x’ = 64.64, (11": 4, p < 0.001).

Table 5. Percentage and n of respondents for variables representing respondents’
experiences with deer in Oakland, Washtenaw, and Monroe Counties,

 

 

Michigan, USA.

Variable Statistic No DVC DVC Combined

Have you observed % yes 87.1 93.4 88.0

deer in the wild in the n 1,368 196 1,652

past 5 years?

Do you believe deer are % Very common 35.3 58.6 38.4

common where you % Somewhat common 42.3 30.4 40.7

live? % Not common at all 16.0 8.3 14.8
% Not present 3.5 1.7 3.4
% Unsure 2.9 1.1 2.7
n 1,259 181 1,519

Have you observed % yes 93.6 98.5 94.3

deer while driving in n 1,368 196 1,652

the past 5 years?

How often do you see % Daily 4.0 14.4 5.3

deer while driving? % Weekly 20.8 36.2 22.8
% Monthly 39.7 32.2 38.8
% Yearly 32.1 16.7 30.1
% Never 3.4 0.6 3.0
n 1,178 174 1.352

 

37

Attitudes Towards Deer

The majority of respondents reported that they are always (53.0%) or sometimes
(34.5%) excited to see deer while driving, yet nearly 95% worried that deer would run in
front of their vehicle (Table 6). Several written-in comments indicated respondents do
not like to see dead deer on the sides of the roads and wanted information on who was
responsible for removing them. Most respondents (85.5%) perceived DVCs as a serious
problem in Michigan. Drivers in DVCs were more apt to report believing DVCs were a
serious problem in Michigan than those who had not been in a DVC (x2 = 20.42, df = 3, p
< 0.001).

Nearly 48% of respondents reported a desire to see the deer population in their
area remain the same, whereas 22.7% wanted a reduction, and only a small percentage
(8.0%) wanted the deer population to increase. A sizable percentage (21.4%) was unsure
about their beliefs toward the future size of the deer population. However, drivers
involved in DVCs were more likely to want decreased deer populations than were drivers

who had not been involved in such collisions (x2 = 20.89, df = 5, p < 0.001)

Driver Concerns

Drivers had different levels of concern regarding potential outcomes of a DVC
(Table 7). The most frequent concern (92.0% of respondents) was losing control of their
car while swerving to miss a deer. Injuring passengers or others (91.4%) and the cost of
repairing damages to the car (90.3%) were also common concerns. Respondents were

more concerned about injuring or killing deer (75.8%) than about the costs of medical

38

Table 6. Respondent attitudes toward deer (% and n for each variable) in Oakland,
Washtenaw, and Monroe Counties, Michigan, USA.

 

 

Variable Statistic No DVC DVC Combined
1 am excited to see it.‘ % Never 11.5 19.4 12.5
% Sometimes 34.2 37.1 34.5
% Always 54.3 43.5 53.0
n 1,208 170 1,378
I worry it will run out in % Never 6.9 2.3 6.3
front of my vehicle.1 % Sometimes 36.3 27.7 35.2
% Always 56.8 70.1 58.5
n 1,218 177 1,395
Deer-vehicle collisions % Definitely not true 1.8 0.6 1.6
in Michigan are a % Probably not true 7.6 5.0 7.6
serious problem.2 % Probably true 44.0 34.4 42.8
% Definitely True 32.8 51.1 35.1
% Unsure 13.5 8.9 12.9
n 1,249 180 1,429
Deer population % Greatly reduced 4.5 9.7 5.2
preferences3 % Somewhat reduced 16.5 24.6 17.5
% Kept the same 48.9 41.5 47.9
% Somewhat increased 6.5 6.7 6.5
% Greatly increased 1.6 0.5 1.5
% Unsure 22.0 16.9 21.4
n 1,353 195 1,548

 

When you see a deer standing alongside the road while you are driving, how often would you say each
of the following is true?

To what extent do you believe the following statement to be true or not true?

Do you believe the size of the deer population in your area should be. . . .?

bills resulting from a DVC (67.6%). These concerns ranked in the same order among
respondents who had been in a DVC and those who had not, with only 1 exception:
drivers who had been in a DVC ranked costs of repairing damages to their car as their top

concern. Concerns about losing control of the car while swerving to avoid a deer

dropped to 3rd on their list.

39

Table 7. Respondent concerns toward DVCs (% and n), placed in order of most concern
to least concern, for Oakland, Washtenaw, and Monroe Counties, Michigan,

 

 

USA.
Driver Concernl n Concerned Not Concerned Unsure
Losing control of car swerving to 1,625 92.0 7.1 0.9
avoid a deer
Injuring passengers or others 1,619 91.4 8.2 0.5
Cost of repairing damages to car 1,621 90.3 8.8 0.9
Being injured 1,628 87.9 1 1.2 0.8
Insurance rate increase 1,612 81.8 14.4 3.8
Injuring or killing the deer 1,615 75.8 22.8 1.3
Cost of repairing other property 1,594 74.7 21.8 3.5
damage
Medical bills due to injury 1,610 67.6 30.7 1.6
Receiving a ticket if reporting DVC 1,614 37.4 55.5 7.1
to police

 

I When you think about deer-vehicle collisions, how concerned would you say you are about each of the
following situations?

Driver Behavior

When respondents were presented with a scenario that involved seeing a deer
while driving, 74.9% indicated they would slow down and drive more cautiously (Table
8). Yet, only 43.7% reported they would slow down in response to a scenario that
involved spotting a deer crossing sign while driving. Drivers, who had been involved in
DVCs, were more likely to say they would slow down in reaction to a deer crossing sign
than those who had no prior DVC involvement ()8 = 7.30, df = 1, p = 0.007). The
majority of respondents (whether or not involved in a DVC) reported they would drive
more cautiously (80.0%) and pay attention to the sides of the road (80.5%) when driving

past deer crossing signs.

40

Respondents (76.5%) expressed a willingness to reduce speed by 10 mph if that
would significantly reduce their chances of being in a DVC. Most drivers (75.7%),

however, said they were unwilling to take a special driver’s education course or eliminate

driving at dawn, dusk, or after dark. There was no statistical indication that prior DVC

involvement had a significant influence on any of these driver intentions.

Table 8. Behavioral intentions of respondents (% and n) to potential scenarios involving
deer in the road or deer crossing signs, for Oakland, Washtenaw, and Monroe

 

 

Counties, Michigan, USA.
Variable Statistic No DVC DVC Combined
Slow down and drive % Never 3.1 2.8 3.1
more cautiously1 % Sometimes 22.8 16.7 22.0
% Always 74.0 80.6 74.9
n 1,240 180 1,420
Slow down2 % checked 42.4 53.1 43.7
n 1,258 179 1,437
Reduce speed by 10mph3 % Not Likely 23.1 26.6 23.5
% Somewhat Likely 38.5 32.1 37.7
% Very Likely 38.5 41.3 38.8
n 1,274 184 1,458
Take a special driver’s % Not Likely 76.3 72.0 75.7
education course3 % Somewhat Likely 17.7 20.3 18.1
% Very Likely 6.0 7.7 6.2
n 1,235 182 1,417
Not drive during dusk % Not Likely 91.2 91.2 91.2
and dawn3 % Somewhat Likely 5.5 6.0 5.5
% Very Likely 3.3 2.7 3.3
n 1,262 182 1,444
Not drive after dark3 % Not Likely 92.8 90.8 92.6
% Somewhat Likely 4.2 6.0 4.4
% Very Likely 3.0 3.3 3.1
n 1,253 1 84 1,43 7

 

of the following is true?

41

Which of the following best describes your reaction to deer crossing signs?
If each of the following situations were to greatly decrease your chances of being involved in a deer-
vehicle collision, how likely are you to do each of the following?

When you see a deer standing alongside the road while you are driving, how often would you say each

DVC Rates

Overall, 20.3% of respondents had been involved in a DVC in their lifetime.
Limiting this analysis to those who had been in a DVC in the past 5 years, 10.1% of
respondents had been a driver in a DVC, 3.3% had been a passenger, and 2.4% had been
involved as a passenger and driver in separate collisions (Table 9). Only 1 injury
(passenger or driver) was reported among the drivers (n = 196) who had been involved in
a DVC in the past 5 years. Of those involved in DVCs, 18.3% of the drivers and 17.6%
of the passengers were involved in more than 1 DVC. The majority (57.7%) of DVCs
involved drivers in passenger vehicles, and a further 24.8% involved drivers in pickup
trucks. The other 17.5% involved drivers in minivans, large trucks, and motorcycles.

Drivers in DVCs were more likely to be male (66.7%) than female (33.3%; 12 =
38.02, df = 1, p < 0.001) and reside in rural (54.7%) or suburban (36.3%) areas than in
urban (8.9%) areas of = 30.55, df 2, p <0.001).

Drivers involved in DVCs in the past 5 years (R,v = 204.97; 32,, = 123.83) had
different mean miles driven for work (w) and personal (p) reasons than those not involved
in DVCs (SE.v = 146.81; i, = 100.14; t... = 3.32, df= 1,335, p = 0.001; t, = 2.94, df=
1,477, p = 0.013) (Table 10). Mean miles driven for work and personal reasons per week
were also greater for males (RV, = 206.75; RP = 111.82) than females (2, = 109.64; 35,, =

94.18; tw = 8.56, df= 1,402, p < 0.001; tp = 3.43, df= 1,557, p = 0.001).

42

Table 9. Involvement in DVCs; passenger and driver involvement in >1 DVC; and
gender and residential area of drivers involved in a DVC within the past 5 years,
Oakland, Washtenaw, and Monroe Counties, Michigan, USA.

 

 

Variable Statistic Result
DVC Involvement % Driver 10.1
% Passenger 3.3
% Both 2.4
% None 84.2
n 1,564
Involvement in more than 1 DVC % Passengers 18.0
n 89
% Drivers 18.4
n l 96
Gender of DVC drivers Male 66.7
Female 33.3
n _ 195
Residential area of DVC drivers % Rural 54.7
% Suburban 36.3
% Urban 8.9
n 190

 

Table 10. Mean number of miles driven for work and personal reasons by drivers who
had been in a DVC and those who had not in Oakland, Washtenaw, and
Monroe Counties, Michigan, USA.

 

 

Variable Work Miles Personal Miles
DVC 204.97 123.83
No DVC 146.81 100.14
Males 206.75 1 1 1.82
Females 109.64 94. 1 8

 

43

Reporting rates

Less than one-half of drivers (46.3%) involved in a DVC in the past 5 years
reported their DVC to the police (95% CI, 39.2 - 53.4%), whereas 52.1% reported their
DVC to an insurance agency (95% CI, 45.0 -— 59.2%). The most commonly cited reason
by respondents for not reporting a DVC to police or insurance companies was that they
did not think it was necessary (Table 11). The next most common reason for not
reporting a DVC to police was because there were no injuries or little to no vehicle
damage. Some of those who did not report it to their insurance also cited concern that
insurance rates would be affected (14.3%) or they believed they did not have the proper
coverage (10.5%).

Reporting rates had no association with gender, vehicle type, or the type of area
(urban, rural, or suburban) where the respondent resided. Drivers, who believed their
insurance rates would increase if they reported the DVC to their insurance company,
were less likely to report to their insurance company than were drivers who did not
believe this was so ()8 = 7.58, df = 2, p = 0.023). Concerns and beliefs about insurance
rates being affected and receiving a ticket had no detectable association on reporting

rates.

Responsibility

A majority of respondents (64.2%) indicated that drivers were most responsible
for preventing DVCs (Table 12); yet 78.6% of drivers involved in DVCs believed their
DVC could not have been prevented. Respondents listed a range of agencies they

believed should share some responsibility of DVCs with drivers — the most commonly

44

cited agency being the MDNR (53.0%). There was no apparent influence of DVC
involvement on drivers’ assignment of responsibility for DVCs.
Table 11. Number of respondents who did not report DVC to police or insurance

and % of each reason given for not reporting DVC to police or
insurance agency, in Oakland, Washtenaw, and Monroe Counties,

 

 

Michigan, USA.
Police Insurance

n = 135 n = 105
Thought not necessary 69.4 Thought not necessary 39.0
No injuries or damage 14.9 Little or no damage 28.6
Not enough time 6.7 Affect insurance rates 14.3
Affect driving record 2.2 Insurance coverage 10.5
Other 5.9 Other 5.7
Get Ticket 0.7 Not enough time 1.9

 

Table 12. Respondent choices for responsibility for DVC prevention in Oakland,
Washtenaw, and Monroe Counties, Michigan, USA.

 

 

Category Choicel % in support of 2
n = 1,621
Drivers 64.2
Michigan Department of Natural Resources 53.0
Office of Highway Safety Planning 33.6
Michigan Department of Transportation 30.5
County governments 13.6
Local Police 8.9
Secretary of State 8.8

 

1 Which of the following, if any do you feel should be responsible for preventing deer-vehicle collisions?

(Please check all that apply)
2 Respondents could choose more than 1 response

45

Knowledge

Drivers involved in DVCs had higher mean knowledge scores (3? = 4.03 out of 10)
than those not involved (R = 3.48 out of 10; t = 3.56, df= 1,418, p < 0.001). Further
grouping of respondents (driver in DVC, passenger in DVC, both driver and passenger,
or no DVC involvement) showed the 4 groups had significantly different mean
knowledge scores (F = 5.01, df = 3, 1,415, p = 0.002) (Table 13). Respondents, who had
been involved in a DVC as both a driver and a passenger at 1 point, had the highest mean
knowledge score (3? = 4.11 out of 10) followed by drivers, passengers, and no
involvement.

There was no significant difference in knowledge scores between males (R = 4.08
out of 10) and females (R = 3.92 out of 10) who had been involved in a DVC (t = 0.53, df
= 175, p = 0.595). There were significant differences, however, in the mean knowledge
scores between males (R = 3.74 out of 10) and females (R = 3.30 out of 10) who had not
been involved in DVCs (t = 3.99, df = 1,228, p < 0.001).

Differences in mean knowledge scores existed for those drivers from urban (R =
3.50 out of 10), suburban (R = 3.36 out of 10), and rural (R = 3.72 out of 10) areas who
were not involved in a DVC (F = 4.23, df = 2 & 1,345, p = 0.015). However, no
difference was detected for drivers from those areas who were involved in DVCs (F =
0.027, df = 2 & 169, p = 0.973). Respondents checked ‘unsure’ 19 - 33% of the time on
most knowledge-based questions; respondents who had been a driver in a DVC checked

‘unsure’ half as often as expected from a Chi-Square cross tabulation.

46

Table 13. Mean knowledge scores for respondents based on their level of involvement
in DVCs, gender, and residential area and comparison of means test statistic,
degrees of freedom, and p-value for each variable, Oakland, Washtenaw, and
Monroe Counties, Michigan, USA.

 

 

Test

Variable Respondent Mean statistic df p-value

DVC' None 3.48 r = 3.56 1,418 p < 0.001
Drivers 4.03

111T2 None 3.46 F = 5.01 3, 1,415 p = 0.002
Passenger 3.89
Driver 4.01
Both 4.11

Gender - DVC Male 4.08 t = 0.53 175 p = 0.595
Female 3.92,

Gender — No DVC Male 3.74 t = 3.99, 1,228 p < 0.001
Female 3.30

Area - DVC Rural 4.08 F = 0.03 2, 169 p = 0.973
Suburban 4.03
Urban 4.17

Area — No DVC Rural 3.72 F = 4.23 2, 1,173 p = 0.015
Suburban 3.36
Urban 3.50

 

1 Driver involvement in a DVC within the last 5 years (yes or no)
2 Level of respondent involvement in DVCs (as driver, passenger, both, or no involvement)

Education and Information Disbursement

Only 11.9% of respondents checked they were not interested in receiving

information and education (Table 14). For those that did want information, newspapers

were nearly twice as likely as brochures or billboards to be the desired channel of

communication for information and education about DVCs.

47

Table 14. Respondent (%) choices for dispersal of
information and education programs
regarding DVCs in Oakland, Washtenaw,
and Monroe Counties, Michigan, USA.

 

 

Education Channelsl n = 1,591 %

Newspaper 47.0
Brochures 26.8
Billboards 26.6
Driver’s Ed 20.7
Magazine 14.4
TV2 3.8
Internet2 3.2
Radio2 2.5
License/Registration Renewal2 1.3

 

1 Respondents could check more than 1 channel

Respondents were not presented with these choices, rather
they wrote them in themselves

48

DISCUSSION

Deer-vehicle collisions involve 3 components — humans, deer, and the
environment. Overall, respondents expressed a desire for the deer population to remain
the same; yet deer populations in Michigan have steadily increased since the 19605,
partially reflecting a growing inability to control white-tailed deer populations through
public hunting (Brown et al. 2000). Anticipated housing and urban development in
southern Michigan (USCB 2000), concurrent with increasing deer populations, will likely
increase interactions among the 3 components that contribute to DVC distribution and
abundance. Therefore, mitigation efforts addressing the human component should focus
on increasing awareness and changing behavior.

Educational programs designed to reach various segments of the driving public
are needed. Michigan motorists are a diverse group, consisting of people ranging from
age 16 to the elderly who are commuters, errand runners, and tourists. Each group is
likely to respond differently to exposure from various educational and communication
programs. Specifically targeting these diverse groups of drivers puts information and
education programs where they are likely to be recognized (Jacobson 1999).

Respondents hold themselves, as drivers, most responsible for preventing DVCs,
yet most believe DVCs are unavoidable. Conflicting attitudes among respondents shows
a need to teach drivers that DVCs can be avoided with awareness of risks and
implementation of proper reactions to risk situations. Langenau & Rabe (1987) reported
that 90% of their respondents believed their particular DVCs were unavoidable compared

to the 70% in this study. Although this attitude seems to be decreasing, further education

49

is needed to communicate specific factors that put drivers at the greatest risk of
involvement.

Overall, drivers had low knowledge scores, which may indicate they are not
aware of the proper reactions to help in avoiding a DVC. Drivers and passengers
involved in DVCs presumably possess greater knowledge of DVCs due to past
involvement in one. Mean knowledge scores, however, were low among all respondents,
in part because of the large number of respondents who were unsure about the correct
precautionary behaviors to avoid DVCs. One potentially important audience to inform
about DVCs is drivers who have no prior involvement.

People generally enjoy being able to View deer until some type of upsetting event,
such as a DVC, changes their attitude (Stout & Knuth 1995). Stout et al. (1993)
suggested past involvement in a DVC, or fear of being involved in one, might negatively
affect attitudes towards state wildlife and transportation agencies, as well as preferences
for smaller deer population sizes. Similarly, our results showed that DVC involvement
did affect drivers’ preference for reductions in deer numbers. People who have been in a
DVC and want a smaller deer herd may believe agencies are not listening to the public.
They then may believe better management practices are needed on the part of wildlife or
transportation agencies and therefore may distrust these agencies to produce the results
they want (Stout et al. 1993). Better understanding of public preference for deer
population size, and the impacts they may create, can lead to better management
objectives for deer from a stakeholder perspective (Stout & Knuth 1995). Without a clear
understanding of the number of DVCs occurring and the impacts from these collisions,

wildlife officials may misinterpret acceptable limits for deer populations or DVCs.

50

Although a majority of respondents enjoy their experiences with deer, most also
worry that DVCs are a serious problem. Whether or not they have prior involvement
influences their specific worries in regard to DVCs. Drivers who experienced a DVC
without injury worried about the costs of repairing vehicle damage. Drivers who had no
previous experience worried about losing control of their car if they were to be involved
in a DVC, which may create elevated levels of dread about outcomes from a DVC. This
heightened dread could provide an opportunity to increase awareness using information

and education campaigns. Costs of repairs from DVCs are often underestimated (R.
Miller, AAA Safety Officer, pers. comm), which our data suggest is an important factor

in not reporting a DVC.

While the true nature of the non-reporting bias remains unknown, we estimate an
underreporting rate at over 50%. Combining the reporting rate with the average cost of
vehicle repairs estimated at $2,300 per occurrence (R. Miller, AAA safety officer, pers.
comm), DVCs in Michigan could cost an average of over $320,000,000 per year,
although this may be an overestimate because unreported crashes may, on average, cause
less than the $2,300 estimated for reported accidents. To reduce the number and cost of
DVCs occurring, studies have suggested an interagency approach to DVC mitigation may
be beneficial (Langenau & Rabe 1987; Sullivan & Messmer 2003). Targeted
communication programs developed by agencies and delivered by credible messengers
(Stout & Knuth 1995) will increase driver awareness of DVCs and teach drivers the skills
needed to avoid a DVC.

A greater percentage of pickup trucks represented in the survey sample (24.8%)

than in the state traffic crash data (MDOT 2004; 20.0%) may be a contributing factor to

51

the underreporting rate; drivers of pickup trucks appear less likely to report their DVCs.
Presumably, these larger vehicles sustain less damage than smaller vehicles. My data
suggests drivers also hesitate to file claims with insurance agencies for fear of an increase
in their insurance rates. In Michigan, DVCs are covered under comprehensive insurance,
which does not result in an increased cost of a driver’s personal insurance policy.
Educating drivers that their insurance rate will not be affected could result in a higher
reporting rate of DVCs and more coverage of costs for drivers. Higher reporting rates
will give management agencies a more accurate representation of the actual number of
DVCs occurring, allowing for better management, policy, and funding decisions.

Care must be taken to make sure any declines in future DVC rates are actual
drops in the number of DVCs occurring rather than just a drop in the number that are
being reported. At the time of the survey, Michigan state law required accidents that
caused more than $400 in damage to be reported to police. That amount has since risen
to $1,000, which will likely result in an even larger non-reporting rate. Better
communication between wildlife and transportation agencies may result in a more
complete and accurate database of DVCs (Knapp 2005).

Drivers previously indicated they did not believe DVCs were a serious problem in
Michigan (Langenau & Rabe 1987). We found the opposite to be true, whether or not
respondents had any previous DVC involvement. Despite these beliefs and concerns
about injuries and costs, the only behavior drivers stated they were willing to change was
their driving speed. Speed limits were found to affect the number and severity of DVCs
occurring when speed limits were decreased from 70mph to 55mph in the 19705

(Langenau & Rabe 1987). Enforcement of speed limits in areas where deer migration

52

routes exist may be useful in reducing DVCs (Hedlund et al. 2003). Willingness among
drivers to reduce speed should be promoted, because high speed is one of the most
significant risk factors for likelihood of DVC involvement (Marcoux et al. 2005).

Drivers often become habituated to deer crossing signs (Romin & Bissonette
1996). No research, however, has determined if deer crossing signs are located in
effective locations, which may cause drivers to ignore them if deer are repeatedly not
observed in the area (Knapp & Li 2003). Our data suggest prior involvement causes
drivers to be more aware of deer crossing signs and adjust their speed accordingly; yet
poor placement of these signs (Langenau & Rabe 1987) may cause drivers to compensate
for deer that are not likely to be in that location. Educating drivers to recognize
environmental characteristics and risk factors associated with DVCs may reduce
dependence of drivers on deer crossing signs to trigger safer driving behaviors.

Commuters are likely to be at an increased risk of DVC involvement; a greater
number of work miles were associated with an increased number of DVCs. Travel
during commuter hours results in greater concentrations of drivers traveling at the time of
day when the risk of a DVC is greatest. A greater number of personal miles driven pose
less of a risk of DVC involvement presumably because the number of drivers and volume
of traffic is not as consistently concentrated as it is during commuter traffic.

Although we do not have specific locations of where respondents experienced
their DVCs, most DVCs occur in the county where drivers reside (Langenau & Rabe
1987). We found that reported gender and type of area that drivers involved in DVCs

resided (urban, suburban, rural) were consistent with an earlier study of traffic crash data

53

(Marcoux et al. 2005) that identified factors providing the greatest risk to a driver for
DVC involvement. Drivers in these areas should be made aware of their increased risk.

Lack of a strong preference among respondents for a particular education channel
indicates a diverse population that needs to be educated about DVC avoidance.
Education can be specifically aimed at drivers who are considered at a greater risk of
DVC involvement. However, all drivers should be made aware of the particular driving
situations and locations that pose the greatest risk (Puglisi et al. 1974; Langenau & Rabe
1987; Williams 1994; Romin & Bissonette 1996) and their individual level of risk, as
each person has their own level of acceptable risk (Stout & Knuth 1995). Several
communication channels will be needed to disburse this educational information to
several target audiences.

Sullivan and Messmer (2003) found that state wildlife and transportation agencies
each believe that the other agency should be more financially responsible for the
management of DVCs. While we found that more drivers believed the MDNR should be
most responsible for the management of DVCs, our data currently indicate drivers do not
know who is responsible for the management of DVCs, including removing carcasses
from roadways. More clearly communicated roles and responsibilities, if they exist, may
help build trust and more opportunities for education.

Our research-based results are limited to southeastern Michigan and similar
landscapes represented by the 3-county study area, but they provide information about
driver attitudes, knowledge, and behavior that can be used to develop programs aimed at

influencing driver behavior and promoting awareness of DVCs. Different channels for

54

communication can now be more strategically identified for specific segments of the

population (Jacobson 1999).

55

LITERATURE CITED

Allen, R.E., and D. R. McCullough. 1976. Deer-car accidents in southern Michigan.
Journal of Wildlife Management 40: 317—325.

Babbie, E. 1990. Survey Research Methods. Second Edition. Wadsworth, Belmont,
California, USA.

Brown, T.L., D. J. Decker, S. J. Riley, J. W. Enck, T. B. Lauber, and G. F. Mattfeld.
2000. The future of hunting as a mechanism to control white-tailed deer
populations. Wildlife Society Bulletin 28: 797—807.

Conover, M.R., W.C. Pitt, K.K. Kessler, T.J. DuBow, and WA. Sanbonr. 1995. Review
of human injuries, illnesses, and economic losses caused by wildlife in the United
States. Wildlife Society Bulletin 23: 407—414.

Decker, D.J., K.M. Loconti-Lee, and NA. Connelly. 1990. Deer-related vehicular
accidents in Tompkins County, New York: incidence, costs, and implications for
deer management. Transactions Northeast Section Wildlife Society 47: 21—26.

Dillman, DA. 2000. Mail and internet surveys: the tailored design method. New York:
John Wiley & Sons, Inc.

Groot Bruinderink, G.W.T.A. and E. Hazebroek. 1996. Ungulate traffic collisions in
Europe. Conservation Biology 10: 1059—1067.

Hansen, C. S. 1983. Costs of deer-vehicle accidents in Michigan. Wildlife Society
Bulletin. 11: 161—164.

Hedlund, J .H., P.D. Curtis, G. Curtis, and AF. Williams. 2003. Methods to reduce
traffic crashes involving deer: what works and what does not. Insurance Institute
for Highway Safety. Arlington, VA.

Jacobson, S. K. 1999. Communication skills for conservation professionals. Island
Press, Washington, DC, USA.

Knapp, K.K., and X. Yi. 2003. Deer-vehicle crash patterns and proposed warning sign
installation guidelines. Presented at the 2004 Transportation Research Board
Conference, 11-15 January 2004, Washington, D.C., USA.

Knapp, K.K. 2005. Defining and solving the deer-vehicle crash problem: the results and
implications of a regional data collection and management survey. Presented at
the 2005 Transportation Research Board Conference, 9-13 January 2005,
Washington, DC, USA.

56

Krohm, Gregory. 1999. Monetizing the cost of auto—deer collisions. Krohm insurance
Strategies. Madison, Wisconsin, USA.

Langenau, E. E. and M. L. Rabe. 1987. Deer-vehicle accidents in Michigan: a task force
report. Michigan Department of Natural Resources Wildlife Division Report
Number 3072.

Marcoux, A., G]. Hickling, S.J. Riley, and SR. Winterstein. In print. Situational and
driver characteristics associated with deer-vehicle collisions in Southeastern
Michigan. Proceedings of the 11th Wildlife Damage Management Conference,
16-19 May 2005, Traverse City, Michigan, USA.

Office of Highway Safety Planning. 2004. 2003 Michigan Traffic Crash Facts: A
summary of traffic crashes on Michigan roadways in calendar year 2003. East
Lansing, Michigan, USA.

Puglisi, M.J.; J .S. Lindzey, and ED. Bellis. 1974. Factors associated with highway
mortality of white-tailed deer. Journal of Wildlife Management 38: 799—807.

Romin, L.A., and J .A. Bissonette. 1996. Deer-vehicle collisions: status of state
monitoring activities and mitigation efforts. Wildlife Society Bulletin 24: 276—
283.

Salant, P. and DA. Dillman. 1994. How to conduct your own survey: leading
professionals give you proven techniques for getting reliable results. John Wiley
& Sons, New York, New York.

SAS software, version 9. 2005. Cary, North Carolina, USA.

SPSS 12.0 for Windows. 2003. Chicago, Illinois, USA.

Stout, R.J., R.C. Stedman, D.J. Decker, and B.A. Knuth. 1993. Perceptions of risk from
deer-related vehicle accidents: implication for public preferences for deer herd
size. Wildlife Society Bulletin 21: 237—249.

Stout, R.J. and B.A. Knuth. 1995. Using a communication strategy to enhance
community support for management. Urban Deer. Proceedings of the 1993
Symposium of the North Central Section of the Wildlife Society. Ithaca, NY.

Sullivan, TL, and TA. Messmer. 2003. Perceptions of deer-vehicle collision
management by state wildlife agency and transportation administrators. Wildlife
Society Bulletin 31: 163—173.

United States Census Bureau. 2000. Summary File 1 (SF1) and Summary File 3 (SF3).
Washington, DC, USA.

57

Williams, AF 1994. The contribution of education and public information to reducing
alcohol-impaired driving. Alcohol, Drugs, and Driving 10:197-205.

58

CHAPTER 3

MANAGEMENT AND RESEARCH CONSIDERATIONS AND
RECOMMENDATIONS FOR INFORMATION AND EDUCATION PROGRAMS
AIMED AT REDUCING DEER-VEHICLE COLLISIONS

The 2 previous chapters identified 1) factors that provide the greatest level of risk
for DVC involvement and 2) attitudes, awareness, and behaviors of drivers toward
DVCs. This chapter proposes recommendations for education messages based on the two
previous chapters — to whom education and information might be delivered and what
information should be conveyed to reduce the frequency and impacts of DVCs. I also
identify additional research needs for assessing the impact of educational and
informational programs after they are formed.

Evans (1996) suggests driver behavior has the greatest potential for a positive
effect on the safety of drivers. Therefore, a change in driver behavior can be a solution
for avoiding crashes and decreasing harm to drivers. Previous studies examined various
mitigation efforts for DVCs (Romin and Bissonette 1996; Sullivan and Messmer 2003).
However, very few studies, especially related to actions drivers can take to avoid DVCs,
have been evaluated (Hedlund et al. 2003). Drivers already believe DVCs are a serious
problem; therefore the major attitude to change is the belief that DVCs cannot be
avoided. Once this attitude has been changed, behavior will be easier to change. Many
of these studies have indicated education and communication in combination with other
mitigation techniques may be a useful tool in reduction of DVCs (Groot Bruinderink and

Hazebroek 1996; Romin and Bissonette; 1996 Schwabe et al. 2002).

59

Changing human driving behavior is not easy. Most change comes from drivers’
adherence to new laws and enforcement of these laws (Williams 1994). In a survey of
drivers, Redmon (2003) found drivers more willing to exhibit safer driving behaviors at
the threat of receiving a ticket than at the possibility of endangering a human life. Other
effective ways to influence behavior involve some type of incentive (Zaza et al. 2001).
As respondents who had already experienced a DVC were most worried about costs,
campaigns could draw attention to the high cost of car repair and medical bills incurred
from involvement in DVCs as an incentive to implement safer driving behaviors to avoid
DVCs

Hartwig (1993 in Groot Bruinderink and Hazebroek 1996) found that improper
reactions by drivers caused 60% of collisions. Many existing programs attempt to relay
proper reaction information to drivers but they are not directly aimed at those drivers who
are at the greatest risk. Driver education programs are often completed early in the life of
a driver (age 16-18), but these are not the drivers at the highest risk of involvement in a
DVC. Teaching younger drivers how to react to animals or obstacles in the road is
important to continue teaching in driver’s education; however, for most it will be
approximately 20 years before they will need to implement the skills required for
avoiding a DVC. Means of educating older drivers, and continuing education of younger
drivers, must be found.

Effective communication involves a source, message, audience, channel, and
feedback (Shanahan et al. 2001). Communication messages are best received by the
public when public images of the sources (agencies) are viewed positively by the

audience (targeted population of drivers) (Shanahan et al. 2001). Awareness of public

60

attitudes toward management agencies with regard to DVCs provides agencies an
opportunity to improve public perception, thereby developing trusting relationships with
stakeholders. Better relationships between agencies and the public present agencies with
a chance to obtain the attention of impacted stakeholders (the audience) and make the
public aware of education and information programs about DVCs and how to best avoid
them. Agencies (MDOT, MDNR, insurance) can work together to develop and disperse
information and education programs. It will be important to know which agencies drivers
trust so that information will be seen as coming from a credible source.

The presence of deer carcasses on roadsides, another problem linked to DVCs, not
only can be distracting to drivers, but can also be upsetting to people who are concerned
for the welfare of deer or about disease transmission (Stout & Knuth 1995). This, in turn,
may affect attitudes toward agencies believed to be responsible for removing carcasses
from roadsides as well as the MDNR, who people believe should be responsible for the
number of DVCs occurring in their community. Carcass removal and permit information
are not readily available to the public (Knapp 2005).

Our research indicated there was no one particular channel from which drivers
would like to receive education messages. Drivers involved in DVCs are a diverse
group; therefore a widespread education campaign is needed using multiple channels.
Although survey data indicate about 50% of drivers get their information mostly from
newspapers, 50% of the population still needs to be reached. Mass media (TV, radio,
newspapers, etc.) during high-risk seasons would raise awareness of the problem at key
moments during the year. An additional option, as several respondents indicated

voluntarily, is to include educational pamphlets in vehicle registration envelopes and at

61

the time of license renewal. This is an opportunity that deserves further investigation as a
way to ensure that the majority of the licensed drivers and vehicle owners receive the
information annually with registration renewal envelopes.

Williams (1994) suggests potential benefits from aiming education at people who
can influence those at greatest risk, such as programs that educate parents about drugs
and alcohol effects so they may influence their children (Ashery et al. 1998). One option,
in addition to educating middle-aged drivers, may be to educate school-age children who
can bring this information home to parents who are likely to be at risk. This type of low-
cost program has been successful in changing environmental attitudes of some parents
(Ballantyne et al. 1998).

Both the state traffic crash data and our survey data indicate that male drivers are
at a slightly higher risk of DVC involvement. We recommend educating drivers aged 35
— 65 years because these are the ages in greatest risk of a DVC. More DVCs occur
during commuter hours so educating commuters about the risk of DVCs may help in
raising awareness of the problem in these drivers. It is particularly important to convey
to drivers the highest risk of DVCS occurs while driving in dark, unlighted areas.

Drivers must be educated on how to look for deer in dark areas, to slow down in these
areas to improve reaction time due to reduced visibility, and how to properly react should
a collision be unavoidable.

Other important factors relating to increased probability of a collision involving a
deer are those relating to time. There was a higher risk of DVCs in fall and early winter
and also during the hours of 6pm until 6am. If drivers are aware of these risks, they can

adjust their behavior based on their own personal risk level (Stout & Knuth 1995).

62

Broadcasting public service announcements during these times, especially over the radio,
so that drivers will be reminded while they are driving during high-risk times, could be
beneficial in getting individuals to drive more cautiously and specifically be on the
lookout for deer.

A final factor contributing to a higher risk of a DVC is reduced visibility. This
was especially true in our findings of the high risk involved during foggy weather. Also
thought to be of risk are roads where there is reduced sight distance, such as curvy roads
or places where forest extends to the edge of the road. Teaching drivers to recognize
these areas, instead of relying on deer crossing signs, gives them the power to react
accordingly when they see associated risk areas or drive during times of high risk.

Previous recommendations have indicated that educating drivers about the risk
factors of DVCs (Puglisi et al. 1974, Romin & Bissonette 1996), implementing a
combination of mitigations efforts (Romin & Bissonette 1996; Hedlund et al. 2003), or
working cooperatively with a number of agencies to develop mitigation strategies
(Sullivan & Messmer 2003; Langenau & Rabe 1987) may lead to reductions in DVCs. In
Michigan, however, access to education and information is not readily available or easy
to locate. Most mitigation efforts and no education programs have been evaluated for
their effectiveness (Romin & Bissonette 1996; Hedlund et al. 2003).

In summary, we recommend using several channels to raise awareness of DVCs
in all drivers. However, focused education for middle-aged drivers is recommended to
teach them the high risk factors associated with DVCs and the proper driving behaviors
needed to minimize chances of involvement in a DVC. We recommend a cooperative

effort among agencies to develop these programs and distribute the information through

63

the most credible and trusted agency among drivers. Any information or education

program that is implemented will need to be evaluated for its effectiveness.

64

LITERATURE CITED

Ashery, R.S., E.B. Robertson, and KL. Kumpfer. 1998. Drug abuse prevention through
family interventions. US. Department of Health and Human Services, NIDA
Research Monograph 177, Rockville, Maryland, USA.

Ballantyne, R., S. Connell, J. and Fien. 1998. Students as catalysts of environmental
change: A framework for researching intergenerational influence through
environmental education. Environmental Education Research 4(3): 285-298.

Evans, L. 1996. Comment: the dominant role of driver behavior in traffic safety.
American Journal of Public Health 86(6): 784-786.

Groot Bruinderink, G.W.T.A. and E. Hazebroek. 1996. Ungulate traffic collisions in
Europe. Conservation Biology 10: 1059—1067.

Hedlund, J .H., P.D. Curtis, G. Curtis, and AF. Williams. 2003. Methods to reduce
traffic crashes involving deer: what works and what does not. Insurance Institute for
Highway Safety. Arlington, VA.

Knapp, K.K. 2005. Defining and solving the deer-vehicle crash problem: the results and
implications of a regional data collection and management survey. Presented at
the 2005 Transportation Research Board Conference, 9-13 January 2005,
Washington, DC, USA.

Langenau, E. E., and M. L. Rabe. 1987. Deer-vehicle accidents in Michigan: a task
force report. Michigan Department of Natural Resources Wildlife Division
Report Number 3072.

Puglisi, M.J.; J .S. Lindzey, and ED. Bellis. 1974. Factors associated with highway
mortality of white-tailed deer. Journal of Wildlife Management 38: 799—807.

Redmon, T. 2003. Assessing the attitudes and behaviors of pedestrians and drivers in
traffic situations. Institute of Transportation Engineers Journal 73(4): 26-30.

Romin, L.A., and J .A. Bissonette. 1996. Deer-vehicle collisions: status of state

monitoring activities and mitigation efforts. Wildlife Society Bulletin 24: 276—
283.

Schwabe, K.A., P.W. Schuhmann, and M. Tonkovich. 2002. A dynamic exercise in
reducing deer-vehicle collisions: management through vehicle mitigation

techniques and hunting. Journal of Agricultural and Resources Economics 27(1):
261-280.

65

Shanahan, J. E., D. J. Decker, and L. M. Pelstring. 2001. Communication for effective
wildlife management. Pages 171-190 in D. J. Decker, T. L. Brown, and W. F.
Siemer, editors. Human dimensions of wildlife management in North America.
The Wildlife Society. Bethesda, Maryland, USA.

Stout, R.J. and B.A. Knuth. 1995. Using a communication strategy to enhance
community support for management. Urban Deer. Proceedings of the 1993
Symposium of the North Central Section of the Wildlife Society. Ithaca, NY.

Sullivan, TL, and TA. Messmer. 2003. Perceptions of deer-vehicle collision
management by state wildlife agency and transportation administrators. Wildlife
Society Bulletin 31: 163—173.

Williams, AR 1994. The contribution of education and public information to reducing
alcohol-impaired driving. Alcohol, Drugs, and Driving 10(3-4): 197-205.

Zaza, 8., DA. Sleet, R.S. Thompson, D.M. Sosin, and J .C. Bolen. 2001. Reviews of

Evidence Regarding Interventions to Increase Use of Child Safety Seats.
American Journal of Preventative Medicine 21(4S): 31-47.

66

APPENDIX A

Appendix A. UD-10 Traffic Crash Report form.

UD-10 (FRONT)

 

am...— 2002 Michigan Traffic Crash Facts

67

Appendix A. (cont’d.)

UD-10 (BACK)

anwuuna

2m;

 

2002 Michigan Traffic Crash Facts

68

Appendix B. Pre-notice letter for the first wave of survey mailings.

March 28, 2004

«First_name» «Middle_Name» «Last_name»
«Street»
«City», «State» «Zip»

(«(GreetingLinel»)

in a few days you will receive a request in the mail to fill out a questionnaire for
an important research project being conducted by the Michigan State University
Department of Fisheries and Wildlife.

This study is part of an effort to better inform transportation and wildlife managers
about deer-vehicle collisions, based on views of Michigan drivers.

I am writing in advance because we understand that many people like to know
ahead of time that they will be contacted.

if you have any questions about this project now or after you receive your
questionnaire, feel free to call me toll free at 1-888-290-0413. if you have
questions or concerns regarding your rights as a study participant, or are
dissatisfied at anytime with any aspect of this study, you may contact —
anonymously, if you wish — Peter Vasilenko. Chair of the University Committee on
Research involving Human Subjects (UCRIHS) by phone: (517) 355-2180, fax: (517)
353-2976. email: ucrihs@msu.edu. or regular mail: 246 Administration Building, East
Lansing, MI 48824.

It’s only with the generous help of people like you that our research can be
successful. Thank you for your time and consideration.

Sincerely.

Alix Marcoux
Project Manager

P.S. As our way of saying thanks for your participation, we will be enclosing a
small gift with your survey. Remember. your survey will arrive in a couple of
days. We look forward to hearing from you.

69

Appendix C. Cover letter, SEMCOG letter, and survey for mailing #2, 21 April 2004.

April 21, 2004

«First_name» «Middle_Name» «Last_name»
«Street»
«City», «State» «Zip»

(«rGreetingLinel»)

I am writing to ask for your help in a study of Michigan drivers. This study.
conducted by the Michigan State University Department of Fisheries and Wildlife.
is an effort to learn more about the views of people with regard to deer-vehicle
conons

We are contacting a random sample of current Michigan licensed drivers in
Monroe, Oakland, and Washtenaw counties to ask their opinions about and
experiences with (if any) deer-vehicle collisions. Results from the survey will be
used to help transportation and wildlife managers develop better ways to help
drivers avoid deer-vehicle collisions.

Your answers are completely confidential. The survey has identifying information
for mailing purposes only. This is so that we may check your name off our mailing
list when your survey is returned. Your name and address will never be
associated with your responses in any way and your privacy will be protected to
the maximum extent allowable by law. While your response to this survey and
any of the questions is completely voluntary, you can help us by taking a few
minutes to share your views about deer-vehicle collisions in your community. By
completing and returning this survey, you indicate your voluntary agreement to
participate in this study.

As our way of saying thank you for your participation, 0 small gift of postage
stamps has been included with your survey — these are for your own personal
use. We look forward to hearing from you soon.

if you have any questions or comments about this study, we would be happy to
talk with you. Feel free to call me toll free at 1-888-290-0413 or write to the
address on the letterhead. If you have questions or concerns regarding your
rights as a study participant. or are dissatisfied at any time with any aspect of this
study, you may contact — anonymously, if you wish — Peter Vasilenko, Chair of the
University Committee on Research Involving Human Subjects (UCRIHS) by phone:
(517) 355-2180, fax: (517) 353-2976, email: ucrihs@msu.edu, or regular mail: 246
Administration Building, East Lansing, MI 48824.

Thank you very much for helping with this important study.

Sincerely.

Alix Marcoux
Project Manager

70

Appendix C. (cont’d.)

SEMCOG Letterhead

«First_name» «Middle_Name» «Last_name»
«Street»
«City». «State» «Zip»

May 3, 2004
««GreetingLine»»

Enclosed, please find an important survey regarding deer-vehicle collisions in
southeastern Michigan. This questionnaire is part of a larger study, in
cooperation with Michigan State University, which is researching people’s
experiences and views about deer-vehicle collisions. I urge your participation in
this important study. Please complete this survey and return it as soon as
possible.

Programs that develop from this research will help make southeastern roads safer
for you and your family. The researchers are interested In responses from all
licensed drivers aged 18 years old and older regardless of whether you have
been in a deer-vehicle collision. Information gathered from drivers who have
not been in a collision and from those who have been in a collision will help to
develop characteristics of all drivers.

The intent of this important research is to increase driver safety on Michigan
roads for everyone. Your help is urgently needed to obtain this information.
Thank you for taking the time to complete this important survey. And please
remember we want to hear from all licensed drivers over the age of 18.

Sincerely.

Thomas Bruff
Engineer Coordination
Transportation

71

Appendix C. (cont’d.)

Deer-Vehicle Collisions in Michigan:
A Survey of Your Views

 

fish .
36°“ (”Q”)? Michigan State University
f ‘3. Department of Fisheries & Wildlife
5‘ 5 ‘E 13 Natural Resources Building
'2’ 54 East Lansing, MI 48824
68.7" Stare ““465

72

Appendix C. (cont’d.)

Deer-Vehicle Collisions in Michigan:
A Survey of Your Views

This questionnaire is part of a study to assist wildlife and transportation managers with
making better decisions about transportation and deer-vehicle collisions. Your views
are very important to us and your response will give us a better understanding of how
people feel about deer-vehicle collisions and other issues involving deer. Please
keep in mind that we are interested in everyone’s responses, not just those who have
been in a deer-vehicle collision.

Please complete this questionnaire at your earliest convenience, seal it, and drop it in
any mailbox (no envelope needed). Return postage is provided. The questionnaire
should take about 10 minutes to complete.

Your responses will remain confidential
and will never be associated with your name.

As a thank you for completing and returning this questionnaire 3 complimentary
postage stamps have been included for your personal use. If you have questions
regarding this survey, please write Alix Marcoux, Project Manager, at the address on
the front page or call her toll free at 1-888-290-0413.

Please use the inside back cover of this questionnaire to record any additional
comments about wildlife and transportation, particularly those about deer in
southeastern Michigan.

Thank you for your assistance!

If you choose not to complete the survey please return it with a note on the inside
back cover. Simply seal it and drop it in a mailbox. Return postage is provided.

 

 

For the purpose of this survey, a deer-vehicle collision is defined as any
incident caused by a deer, including hitting a deer, or swerving to miss
a deer and hitting another vehicle, or swerving off the road and hitting
objects on the side of the road.

 

73

 

Appendix C. (cont’d.)

1. How often do you participate in the following activities? (Please check B only one
response for each statement. )

Never Sometimes Regularly
a. Read about wildlife
b. Watch wildlife related
TV, movies, or videos
c. Spend time viewing
wildlife
(:1. Hike/walk in natural
areas
Camp
Feed birds or other wildlif-
(other than deer)
Feed deer
Fish
Hunt (other than deer)
Hunt deer
Other outdoor activities (please specify)

DD

sen-".399 #9
[30130 [313 D [:1 DD
1301313 [313 D 1:] DD
DUDE DD D U

 

2. Peeple in Michigan have varied experiences with deer whether or not they are
driving. Please indicate which, it any, of the following types of interactions with deer
you have experienced in the last five years (since 1999). (Please check Z all that
apply.)

Observed deer in the wild

Observed deer near my house

Observed deer while driving

Almost hit a deer while driving

Read or heard about other people nearly involved in a deer-vehicle collision

Read or heard about other people involved in a deer-vehicle collision

Had a family member or friend nearly involved in a deer-vehicle collision

Had a family member or friend involved in a deer-vehicle collision

Been a passenger in a deer-vehicle collision
if more than 1 collision, how many?

Been a driver in a deer-vehicle collision
if more than 1 collision, how many?

None of the above

Other (please specify)

 

 

1313 El UDUDDDUDU

 

74

Appendix C. (cont’d.)

3. How common would you say deer are where you live? (Please check 2' only one
response.)

Cl Very common

CI Somewhat common
[:1 Not common at all
CI Not present

CI Unsure

Driving 6' Deer

4. How frequently do you see deer while driving? (Please check B only one response.)

Daily
Weekly
Monthly
Yearly
Never
Unsure

01313131313

5. When you see a deer standing alongside the road while you are driving, how often
would you say each of the following is true? (Please check B only one response for

each statement. )

3
fl
8 E >
o
W
a. I am excited to see it. C1 D D
b. l wony it will run out in front of my Cl CI Cl
vehicle.
c. I slow down to get a better look E] El CI
at it.
d. | slow down and drive more D D C]
cautiously.
e. 1 speed up to get past the deer. C1 C1 C1

75

Appendix C. (cont’d.)

6. To what extent do you believe each of the following statements to be true or not true?
(Please checlr B only one response for each statement.)

> 2 2 o z o
o .a .a a o a 2
E 3 3 3 3 :: "E Z 3
“5 '- o '- o o “5 o g
a E i z a 2
Most deer-vehicle collisions occur at El C1 C1 Cl C]
dawn/sunrise.
Most deer-vehicle collisions occur at C1 C1 C1 Cl C]
dusk/sunset.
Most deer-vehicle collisions occur during [:1 C1 C1 Cl C]
early winter months.
Deer-vehicle collisions are most likely to Cl 0 Cl E] El
occur on 2-lane roads.
Driving fast makes it harder to avoid a E] C1 C1 Cl [:1
deer-vehicle collision.
Deer-vehicle collisions are a serious C1 C1 C1 C1 CI
problem in Michigan.
Your insurance rates will increase if you C1 Cl [:1 Cl C]
report a deer vehicle collision to your
insurance agency.
You will be ticketed if you report a deer- Cl E] Cl Cl C]

vehicle collision to the police.

7. Which of the following best describes your reaction to deer crossing signs? (Please
check Z all that apply. )

Slow down

Drive more cautiously
Watch sides of roads
Look for deer in the area
Do nothing

Unsure

01313131313

76

Appendix C. (cont’d.)

8. if each of the following situations were to greatly decrease your chances of being
involved in a deer-vehicle collision, how likely are you to do each of the following?
(Please check B only one response for each statement. )

Somewhat
Likely
Unsure

0. Reduce speed by 10 mph
Reduce speed by 20 mph

Not drive during dusk/sunset
and dawn/sunrise

Not drive after dark

13 E] U U D Very Likely
Cl 13 E] D Cl
E] El 13 D U Not Likely
U El U Cl C]

Pay complete attention to the
area. including the sides of the
road

13
U
C]
U

f. Not participate in other
activities while driving (for
example - talking on a cell
phone or eating)

g. Take a special driver E] Cl C] D
education course focused on
deer-vehicle collisions and
how to prevent them

h. Other (please specify)

 

9. Do you believe the size of the deer population in your area should be....? (Please
check 2' only one response.)

Greatly reduced
Somewhat reduced
Kept the same
Somewhat increased
Greatly increased
Unsure

1313013013

77

Appendix C. (cont’d.)

10. When you think about deer-vehicle collisions, how concerned would you say you are
about each of the following situations? fl’lease check B only one response for each
statement.)

8 a 3 3 0
5 8 i 8 :5 8 §
> ‘c’ E 8 z 8 g
o o o o
0 '0 U U
0. Being injured C1 C1 Cl C]
Injuring passengers or others C1 C1 C1 Cl
C. Medical bills due to injury C1 Cl [:1 D
d. Injuring or killing the deer Cl E] C1 C1
e. Cost of repairing damages to C1 Cl C1 C1
yourcar
1. Insurance rate increase C1 C1 C1 CI
9. Cost of repairing other property C1 Cl [:1 Cl
damage _
h. Receiving a ticket if you were to Cl D C1 C1
report the accident to the
police
1. Losing control of the car while [:1 Cl C1 C1

swerving to avoid hitting a deer

j. Other (please specify)

 

 

l 1. Which of the following, if any. do you feel should be responsible for preventing deer-
vehicle collisions? (Please check 3' all that apply.)

Michigan Department of Transportation
Michigan Department of Natural Resources
Michigan Secretary of State

Office of Highway Safety Planning

Local police or sheriff
County governments
Drivers

Unsure

Other (please specify)

UUUDUDDUD

 

78

Appendix C. (cont’d.)

Your Involvement in Deer-Vehicle Collisions

Please respond to the following questions regarding your most recent deer-vehicle
collision in which you were the driver. It you have never been involved in a deer-vehicle
collision as a driver, please check here CI and skip to question 18 on the following page.

12. Was the deer-vehicle collision reported to the police? (Please check B only one
response.)

E: Yes i 120. if no, what was the main reason you
NO“) chose not to report the collision? (Please
1 check B only one response.)

 

1 Not enough time

Did not think it was necessary l
Believed it would affect your driving record l
Believed you would get a ticket 3

Other (please specify)

1 1

1313131313

 

13. Was the deer-vehicle collision reported to your Insurance agency? (Please check B
only one response.)

 

D Yes 130. if no, what was the main reason you T
D NO‘ chose not to report the collision? (Please 1
check B only one response.)

5 CI Not enough time
D Did not think it was necessary 1
Cl Believed it would affect your insurance rates

i D Other (please specify) 1

 

14. Were there any personal injuries to you or any one else as a result of the deer-vehicle
collision? (Please check B only one response.)

Cl Yes
D No

Cl Unsure

79

Appendix C. (cont’d.)

15. Which of the following best describes why you were driving at the time of the deer-
vehicle collision? fl’lease check B only one response.)

16.

'17.

13013130

Driving to or from work
Running errands
Visiting family or friends
Vacationing

Other (please specify)

 

At the time of the collision, what type of vehicle were you driving? (Please check B
only one response.)

UDDDDU

4-door/2-door passenger vehicle
Mini —van

SUV/Pickup truck

Truck - non tractor trailer

Tractor trailer

Other (please specify)

 

Do you believe the collision could have been prevented if you did any of the
following things? (Please check Z all that apply.)

DDDUDD

Braked

Swerved

Drove more slowly
It could not have been prevented
Unsure

Other (please specify)

 

Sources of information

The following questions will help us understand which sources you would like to use to
gather information about deer and
transportation issues.

18.

Do you read a daily newspaper? (Please check only B one response.)

19. What is the name of the daily paper (if any) you use the most to get news about

wildlife and wildlife management issues?
Name of the paper:

 

80

Appendix C. (cont’d.)

20.

From which sources would you like to get information focused on reducing deer-
vehicle collisions? (Please check 3' all that apply.)

Newspaper “Newspaper name
Magazine articles “Magazine name
Brochures “location where you would pick up a brochure (e.g., grocery store)

 

 

Driver's education classes
Billboards

Friends

Unsure

Not interested

Other (please specify)

DDUDUU BUD

 

background InFormation

In order for us to more fully understand people’s responses to the previous questions. we
need to know a few things about your background. Remember that your responses are
completely confidential and that neither your name nor your address will be directly
linked to your responses in any way.

21.

23.

24.
25.

Approximately how many miles per week do you drive for work? (Please include
mileage for gefiily to work and mileage for gerfiry back home, plus any driviry you
do for work.) Miles

 

 

 

. Approximately how many miles per week do you drive for personal (non-work)
reasons? Miles
What type of vehicle do you drive regularly?
Make
Model
How many years have you lived in your current county of residence? __ Years
In what type of area do you live? (Please check B only one response.)
CI Rural
C] Urban
Cl Suburban

CI Other (please specify)

 

81

 

Appendix C. (cont’d.)

26. Are you:
CI Male
CI Female

27. In what year were you born? )9

28. What is the highest level of formal education that you have completed? (Please check
B only one response.)

 

Less than high school

High school graduate or equivalent
Some college

Associate's degree
Technical/vocational p! '

 

College graduate (Bachelor's or 4 year degree)
Graduate or professional degree

[3000000

29. Please use the space below for any additional comments you wish to make with
regard to deer-vehicle collisions in Michigan.

 

Results of this survey can be found at
http://www.fw.msu.edu/peopkfiriley/Survey DVC Michiganpdf

To return the survey, simply seal it and place it in any mailbox. Return postage is
provided.

Thank you for your participation!

82

 

Appendix C. (cont’d.)

>. Zafioocx

OoU013o3 as 2339 m. <<=n==no
2:03.00: 9.96 c2533

5 20.86. momocqoom mc=Q3©
mam... r0350. 2: swans

>. Kodacx

0o0013o3 as mmmsozom m. <<=a_:o
2:03.00: £96 c2522

5 2086. momoSoom again
man 53.430. 2: smmms

83

Appendix D. Thank you/Reminder postcard mailed May 5, 2004

 

 

May 5, 2004

Recently you were mailed a questionnaire seeking your views on deer-vehicle
collisions in Michigan.

If you have already completed and returned the survey, please accept our
sincere thanks! If not, please do so today. Because wildlife and transportation
managers are interested in serving the public of Michigan, it is vital that we
receive your input.

If by some chance you did not receive the questionnaire, or it got misplaced.
please call me toll free at 1-888-290-0413 and I will mail another one to you.

Sincerely.

Alix Marcoux
Project Manager

 

 

 

 

A. Marcoux

Department of Fisheries 8. Wildlife
Michigan State University

13 Natural Resources Building
East Lansing, MI 48824

«First_name» «Middle_Name» «Last_name»
«Street»
«City», «State» «Zip»

(back)

 

84

 

 

Appendix E. Cover letter for final survey mailing (mailing included survey instrument -
see Appendix 2).

May 19, 2004

«First_name» «Middle_Name» «Last_name»
«Street»
«City», «State» «Zip»

««GreetingLine»»

A few weeks ago I sent you a questionnaire asking you for your views about deer-vehicle
collisions in Michigan. To the best of our knowledge, the questionnaire has not yet been
returned. If this letter and your completed survey have crossed in the mail, please accept
our sincere thanks for your participation in this study!

Your views are crucially important, regardless of whether or not you have been in a deer-
vehicle collision. The comments of people who have already responded show that
Michigan drivers hold a wide variety of opinions about deer-vehicle collisions. We think
the results will be useful to managers of transportation and wildlife. who are trying to make
more informed decisions about how to manage deer-vehicle collisions.

A few people have written to say that they should not have received the questionnaire
because they no longer live in Michigan. If this applies to you, please give the survey to
an adult in your household who is a licensed Michigan driver. If no one in your household
is eligible, please indicate this on the survey and send it back to us. We would really
appreciate it, and this way we can take you off our mailing list.

An identification number is written on the cover of the questionnaire so that we can
check your name off of the mailing list when it is returned. We do not use this number for
any other purpose, and we will not share your personal information with anyone else.
Your name will never be associated with your responses in any way and your privacy will
be protected to the maximum extent allowable bylaw.

Your response to the survey and any of its questions is completely voluntary. We
hope that you will fill out and return the questionnaire soon. By completing and
returning this survey, you indicate your voluntary agreement to participate in this
study. If, however. for any reason, you prefer not to answer it, please let us know by
returning the questionnaire with a note on the back page stating your desire not to
participate in the study.

If you have any questions about this survey, please feel free to contact me toll-free at 1-
888-290-0413. If you have any questions or concerns regarding your rights as a study
participant, or are dissatisfied at any time with any aspect of this study, you may contact -
anonymously, if you wish — Peter Vasilenko, Chair of the University Committee on Research
Involving Human Subjects (UCRIHS) by phone: (517) 355-2180, fax: (517) 353-2976, email:
ucrihs@msu.edu. or regular mail: 246 Administration Building, East Lansing, Ml 48824.

Sincerely.

Alix Marcoux
Project Manager

85

Appendix F. Survey Instrument to assess non-response bias.

 

 

: use“:

000:02 60,—0.0
50902 5?.

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:_ 5 00: 00 0E: 0£ 0:20., :00 00:0>00 :_ 30> 0.:05 0000000000 2800 a :0:0:00000 50>

.m0mco0m0: 50> 0.. 000E: 00 :0>0: ___>> 0E0: 50> .>_:o 88050 0:508
:00 00:5: :0:00c=:00_ :0 8: 0:00:00 05 .>:_0=:00c:00 0+0_0E00 00 00530 00 >08 30>
.m:0_m_u00 080 0* :02; :0 :0208000:_ 300 >:0> 0E. 0>0: 3000:08 00__0__>> 0:0 :020to0m:0:
0.0:: 0:_:3m:_ :00 30:00:: 2 S0:_ 50> .mm0_0:t0>0z .>:0E3_0> 2 gr: 0+ 08008: 50> 0.0000 3.

>030 50 :00 :0:0§00:_

0_003_0> 00_>0:0 ___>> .3 8 :09. m3 2 0.000 05 >00 2 0E: 0£ 0:30.. 50> 0660000

>_0:0u:_m 0_30>> 0>> 0:00.500 0E. So ___u_ 0.. 02:. :0 0S:_:._ 0 :9: 0:0E 0: 0x00 050:». z

.__OE 0E. :_ 000 0:0 £00.00 .50 _E 2 30> :0“— 0:00000 0030.000 00080.5 0 00:00.50 0>0:
03 00500 .3o> E0m >_m30_>0:0 0>> >0>5m 0E. 00.: 0:_£>:0 .50 _E 0., 30> 0:28 *0: 0:0 0>>

.0mco0m0:-:o: 0:0 00 056: 0%. 0:00:005 :00 0>> om 805030
30.— 0 30> 07.0 2 00.: 0503 0>> .0000: 00: 03 :05 032 8? >022 m7: 0., 000: 02008:
50 .m:0_m___ou 0_u_:0>.:000 +3000 m>>0_> 50> 0:208 0:_0::0:m030 0 00:9: 003 30> >::0u0~_

voom N 0:2.

 

 

86

Appendix F (cont’d.)

 

 

C xommv

, =§uo_mmm0c00<§

same. .2 .383 :8
m:_0__3m m0u5om0m 6.202 9

20025 900 80:22
20:; a 8:05: :0 205580
500.02 .<

 

 

87

Appendix F (cont’d.)

 

 

AN .00....

 

 

«000.39.... 00.00.80 0000 00.0000 Egan—0:50.— 50> .0". 00> 0.00....—
03. .0802. {00.0.0 0.80.... lo. 0800 30> 0.03 .00> .0:; :. K
0.080. D 0.02 0 00.080. .0 0.08 3o> 0.< .0
.2000. 080.0. .0:.O D :00503m U :005 D .05... .U
«0000000.. 000 #00 Q «0000 0000i. .02. 30> o0 00.0 .o 00>. .0:? c. .m
.0:.O D 002.0 0
80.30.00 .0582 .0 .c08..0000 :00.:0..>. D :0..0..00m:0.. .0 808.0000 :00.:0.$. D
N X300 00$ .00 Q «0000 0000.0»
02.0.»...00 0.0.:0>..000 00:00.6... .0. 0.0.2003. 00 0.32.» .00. 3o> o0 00.2.2.0. 0:. .o 20...; .0
00:00.00 D .025 U
«000300..
000 $00 E «0000 000 00.30.00 «0000.. to... 00.1 0. 00.00.. 0000...» 0.0000300 0:. .o .0>..0 0... 3o> 0.0.5 .0m
80.0..00 0.0.:0>-.000 llll| 0:..3 00208. :000 30> 0>0: 80......00 0.0.:0> .000 >:08 30: 00> ._ .0m
02 D m0> n.
«0000000.. 000 .000 Q «0000 0000.0. wco.».._o0 0.0.:0>..000 0 c. 00202.. :000 .20 39> 0>0... .m
0.38: D .0>0Z D >..00> B 2:80.... 0 20.002. D 2.00 .U

x 000.100.. 000 .000 m. «0000 0000i» «00.2.0 0....) .000 00» 39> o0 220300.. 30... .N

 

3.000... 0.0.00.0. :0m00. .0:.0:< D

0:0:0 >0 00.00.:00 0:.00 0.0.0 0.303. D 80.0..00 0.0.:0>-.000 .3000 0:... >.0> 30:0. _ .U
:o.m_..o0 0.0.:0>-.000 0 :..>> 00208. :000 .0>0: 0>0: _ D m>0>5m .0380 0. 08.. 0>0: .0: 00 _ D
>0>5m 0:. :. 03$. 0:. :. 0000.08. .0: 80 _ D m>0>5m 0:..0380 0V... .0: 00 _ D
00.00.0800 .0\0:0 0:0. 00. 000.00. >023... 0: H D >0>5m 0:. 002000. .0>0: _ D

30% .8... .0 m. .02.... 0.80%

2.00.5.2 c. «co.».._o0 0.0.:0>..000 co >023“ .3 o. 0.3000. .2. 0.0 30> 00000. 5.30.000 0 0.0.... «03 .—

 

 

88

Appendix F (cont’d.)

 

 

a 0.80.

$me :2 .0583 .8.
0:.0_.3m. 005900 65.02 m.

>..m.0>.:3 0.0.m :00.:0..>.
9.0.2, .0 8.0%: .0 .cmetoamo

x300.0.>. .<

E00. :2 .0283 .8.

0:.0_.3m 3050.00 05.02 m.
2002.5 0.0.5 806.2

0.5.2, a 00.0%.. .0 .cmetoamo
2:0.i0m0w... x300.0.2 .<

 

 

89

Appendix G. Survey frequencies, % response for each question.

1. How often do you participate in the following activities? (Please check B only
one response for each statement.)

Never Sometimes Rggglarly n

a. Read about wildlife 17.5 64.9 1.6 1:634
b. Watch Wildlife related TV, 8. 6 67.2 24.2 1,639

mov1es, or Videos
0. Spend time viewing wildlife 9.8 60.9 29.4 1,625
d. Hike/walk in natural areas 14.5 63.6 22.0 1,625
e. Camp 43.9 43.8 12.3 1,618
f. Feed birds or other wildlife

(other than deer) 26.8 36.4 36.8 1,614
g. Feed deer 79.9 15.7 4.4 1,621
h. Fish 50.2 39.6 10.3 1,617
i. Hunt (other than deer) 81.5 13.0 5.6 1,621
j. Hunt deer 81.9 8.6 9.5 1,574
k. Other outdoor activities (please specify)

 

2. People in Michigan have varied experiences with deer whether or not they are
driving. Please indicate which, if any, of the following types of interactions with deer
you have experienced in the last five years (since 1999). (Please check Blhat apply.)

 

11 yes no
0 Observed deer in the wild 1,652 88.0 12.0
CI Observed deer near my house 1,652 64.3 35.7
CI Observed deer while driving 1,652 94.3 5.7
CI Almost hit a deer while driving 1,652 45.0 55.0
CI Read or heard about other people nearly involved in a

deer-vehicle collision 1,652 79.5 20.5
CI Read or heard about other people involved in a deer-

vehicle collision 1,652 83.1 16.9
CI Had a family member or friend nearly involved in a deer-

vehicle collision 1,652 48.8 51.2
C1 Had a family member or fiiend involved in a deer-vehicle

collision 1,652 51.4 48.6
CI Been a passenger in a deer-vehicle collision

If more than 1 collision, how many? 1,652 6.2 93.8
CI Been a driver in a deer-vehicle collision

If more than 1 collision, how many? 1,652 11.9 88.1
CI None of the above 1,652 1.0 99.0
CI Other (please specify)

 

9O

 

Appendix G (cont’d.)

3. How common would you say deer are where you live? (Please check Manly one

response.)
CI Very common 3.4 n = 1,519
El Somewhat common 14.8
C1 Not common at all 40.7
CI Not present 38.4
E] Unsure 2.7
Driving & Deer

4. How frequently do you see deer while driving? (Please check Manly one

response.)
CI Daily 2.8
CI Weekly 28.0
CI Monthly 36.7
CI Yearly 21.8
CI Never 5.2
CI Unsure 5.6

5. When you see a deer standing alongside the road while you are driving, how
often would you say each of the following is true? (Please check Manly one

response for each statement.)

a. I am excited to see it.

b. I worry it will run out in front of
my vehicle.

0. I slow down to get a better look
at it.

d. I slow down and drive more
cautiously.

e. I speed up to get past the deer.

91

n=l,513

Never

24.6

2.9

93.2

Sometimes

0:09
53:“
\o-h

46.4

21.8

6.4

29.0

75.2

0.4

1,455
1,471

1,435
1,498

1,427

Appendix G (cont’d.)

6. To what extent do you believe each of the following statements
to be true or not true? (Please check Manly one response for each statement.)

>' >. >. 0 >. 0
E 0 .T: 0 3 E .73. E 2
as :5 s: g: 2 =
8 5: a 2 5 2 D
M td - hi 1 11' ' t
03.33.11: C e co ‘Slons occur a 13.9 38.8 20.4 2.9 24.0 1,499
Most deer-vehicle collisions occur at
dusk/Sunset. 20.5 51.2 8.7 1.1 18.6 1,501
Most deer-vehicle collisions occur
during early winter months. 4.6 29.7 27.0 5.6 33.1 1,490
Deer-vehicle collisions are most likely
to occur 0“ Z-lane roadS- 4.0 38.9 24.4 10.5 22.2 1,502
Driving fast makes it harder to avoid a
deer-vehicle collision. 43 .0 31.1 7.8 1 1.7 6.4 1,504
Deer-vehicle collisions are a serious
problem in Michigan. 35.8 42.4 7.6 1.5 12.7 1,508
Your insurance rates will increase if you
report a deer vehicle collision to your
insurance agency. 9.5 33.7 18.9 5.5 32.4 1,501

You will be ticketed if you report a deer—

vehicle collision to the police. 0‘9 2'5 32'0 43-5 21-0 1,504

7. Which of the following best describes your reaction to deer crossing signs?

(Please check Mall that apply.) yes no
CI Slow down n= 1,516 43.9 51.4
CI Drive more cautiously 80.0 20.0
CI Watch sides of roads 80.5 19.5
CI Look for deer in the area 69.5 30.5
0 Do nothing 3.1 96.9
C1 Unsure 0.3 99.7

92

In
J

Appendix G (cont’d.)

8. If each of the following situations were to greatly decrease your chances of
being involved in a deer-vehicle collision, how likely are you to do each of
the following? (Please check M only one response for each statement.)

>. B >. % °

_ - in

a E A *5 a

(A Z

a. Reduce speed by 10 mph 37.4 36.6 23.1 30

b. Reduce speed by 20 mph 19.2 255 51 2 4 1
Not drive during dusk/sunset

and dawn/sunrise 3.0 5.3 87.8 39

d. Not drive afier dark 23 4,2 39,7 3 3

Pay complete attention to the
area, including the sides of the 67.1 28.5 3.3 1.1
road

f. Not participate in other
activities while driving (for
example - talking on a cell
phone or eating)

g. Take a special driver education
course focused on deer-vehicle
collisions and how to prevent
them

b. Other (please specify)

51.3 2.8 16.6 2.4

5.9 16.7 70.7 6.7

 

9. Do you believe the size of the deer population in your area should be....?
(Please check M only one response.)

CI Greatly reduced 5.1 n = 1,633
El Somewhat reduced 17.7

CI Kept the same 48.1

CI Somewhat increased 6.4

CI Greatly increased 1.7

CI Unsure 21.1

93

Appendix G (cont’d.)

10. When you think about deer-vehicle collisions, how concerned would you say you
are about each of the following situations? (Please check M only one response
for each statement.)

a 3 e s .,
PE 3 .5. *5 E ‘5
s a a a z a 8
c c a c D

U W U U
a. Being injured n=1,628 52 2 35 7 11.2 0.8
b. Im-urlng passengers or others 58 6 32.8 8 2 0.5

n — 1,619
c. Medical bills due to injury

n= 1,610 31.6 36.0 30.7 1.6

d. Injuring or killing the deer
n = 1,615
e. Cost of repairing n = 1,621
damages to your car
f. Insurance rate increase

38.9 36.9 22.8 1.3
58.5 31.8 8.8 0.9

47.7 34.1 14.4 3.8

n = 1,612
g. Cost of repairing other property 36 8 37 9 21 8 3 5
damage 11 = 1,594 ' ' ' '
h. Receiving a ticket if you were to
report the n = 1,614 20.7 16.7 55.5 7.1

accident to the police
i. Losing control of the car while
swerving to avoid hitting a deer 65.5 26.5 7.1 0.9
n = 1,625
j. Other (please specify)

 

11. Which of the following, if any, do you feel should be responsible for preventing
deer-vehicle collisions? (Please check Mall that apply.)
11 = 1,621 yes no

Cl Michigan Department of Transportation 30.5 69.5
[:1 Michigan Department of Natural Resources 53.0 47.0
CI Michigan Secretary of State 8.8 91.2
0 Office of Highway Safety Planning 33.6 66.4
CI Local police or sheriff 8.9 91.1
CI County governments 13.6 86.4
CI Drivers 64.2 35.8
D Unsure 16.4 83.6
C] Other (please specify)

 

94

Appendix G (cont’d.)
Your Involvement in Deer-Vehicle Collisions

Please respond to the following questions regarding your most recent deer-vehicle
collision in which you were the driver. If you have never been involved in a deer-
vehicle collision as a driver, please check here D and skip to question 18 on the
following page.

12. Was the deer-vehicle collision reported to the police? (Please
check M only one response.) n = 284 DVCs, 88 over 5 yrs ago;196 w/in 5 yrs

 

 

a Yes 12a. If no, what was the main reason you 1

NO‘ chose not to report the collision? (Please '

n = 278 ? check Manly one response.) 11 130 1

Yes = 51.4 ‘ Cl Not enough time 6.9 5
N0 = 48.6 CI Did not think it was necessary 71.5

1 Cl Believed it would affect 2.3 I

z your driving record 1

Cl Believed you would get a ticket 0.8 1

Other (please specify) ~ 18.5

13. Was the deer-vehicle collision reported to your insurance
agency? (Please check M only one response.)

 

D Yes 13a. If no, what was the main reason you
O NO‘ chose not to report the collision? (Please 1
check M only one response.) n = 110 ‘
n = 275
Yes = 55.6 CI Not enough time 1.8

N0 = 44_4 E1 Did not think it was necessary 37.3
CI Believed it would affect your 13.6
. insurance rates

' Cl Other (please specify) 47.3

 

 

 

14. Were there any personal injuries to you or any one else as a
result of the deer-vehicle collision? (Please check M only one response.)

n=274
D Yes 0.4
CI No 98.5
D Unsure 1.1

95

Appendix G (cont’d.)

15. Which of the following best describes why you were driving at the time of the
deer-vehicle collision? (Please check M only one response.)

131301313

1313121131313 '5:

pa
\l

131313131313

20. What is the name of the daily paper (if any) you use the most
to get news about wildlife and wildlife management issues?
Name of the paper: 11 = 942

n = 275
Driving to or from work 40.4
Running errands 14.5
Visiting family or friends 17.1
Vacationing 14.9
Other (please specify) 13.1

 

 

driving? (Please check Manly one response.)

. At the time of the collision, what type of vehicle were you

n = 274
4-door/2-door passenger vehicle 57.7
Mini —van 9.9
SUV/Pickup truck 24.8
Truck — non tractor trailer 4.0
Tractor trailer 1.5
Other (please specify) 2.2

 

. Do you believe the collision could have been prevented if
you did any of the following things? (Please check Mall that apply.)

n yes no
Braked 271 2.2 97.8
Swerved 271 0.7 99.3
Drove more slowly 271 10.3 89.7
It could not have been prevented 271 78.6 21.4
Unsure 271 7.0 93.0
Other (please specify)

 

Sources of Information

Do you read a daily newspaper? (Please check only M one response.)
11 = 1,602

D Yes
Cl No (If no, please skip to question 20)

96

The following questions will help us understand which sources you would like to use to
gather information about deer and
transportation issues.

62.6
37.4

no response = 61_

 

Appendix G (cont’d.)

20. From which sources would you like to get information focused on reducing deer-
vehicle collisions? (Please check Mall that apply.)

Cl Newspaper ‘Newspaper name 598

 

n = 1,591 yes = 47.0 no = 53.0
C] Magazine articles ‘ Magazine name 152
n = 1,591 yes —14.4 no = 85.6

D Brochures‘ Location where you would pick up a brochure (e.g., grocery

 

store) 282

n = 1,591 yes = 26.8 no = 73.2
CI Driver’s education classes n = 1,591 yes = 20.7 no = 79.3
C1 Billboards n = 1,591 yes = 26.6 no = 73.4
CI Friends n = 1,591 yes = 9.0 no = 91.0
CI Unsure n = 1,591 yes = 13.0 no = 87.0
CI Not interested n = 1,591 yes = 11.9 no = 88.1
CI Other (please specify)

 

Background Information

In order for us to more fully understand people’s responses to the previous questions, we
need to know a few things about your background. Remember that your responses are
completely confidential and that neither your name nor your address will be directly
linked to your responses in any way.

21. Approximately how many miles per week do you drive for work? (Please include
mileage for getting to work and mileage for getting back home, plus any driving
you do for work.)

_n = 1,408 Mean (std. dev.) = 156.27 (217.81) Miles

 

22. Approximately how many miles per week do you drive for personal (non-work)
reasons? n = 1,565 Mean (std. dev.) = 102.19 (101.53) Miles

 

23. What type of vehicle do you drive regularly?
Make
Model

 

 

24. How many years have you lived in your current county of
residence? Years

 

25. In what type of area do you live? (Please check Manly one response.)

Cl Rural 36.5 n=l,629
1:] Urban 16.0
CI Suburban 43.5
CI Other (please specify) 4.0

 

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Appendix G (cont’d.)

 

 

26. Are you:
CI Male 46.7 n = 1,635
El Female 53.3
27. In what year were you born? 19 n = 1.602 mean age (std. dev.) = 47.85
(15.45)
28. What is the highest level of formal education that you have completed? (Please
check M only one response.) n = 1,637
El Less than high school 3.3
C] High school graduate or equivalent 18.8
CI Some college 23.3
C1 Associate’s degree 6.8
Cl Technical/vocational 6.2
CI College graduate (Bachelor’s or 4 year degree) 21.9
CI Graduate or professional degree 19.7

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