.__—— —— —___— THS F LIBRARY Michigan State University PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 6/07 p:/CIRC/DateDue.indd-pr1 MICHIGAN STATE UNIVERSITY PLAN B RESEARCH PAPER A STUDY OF DEVELOPMENT COSTS: AN OPEN SPACE SUBDIVISION VS. A CONVENTIONAL SUBDIVISION IN WILLIAMSTOWN TOWNSHIP, MICHIGAN Prepared for Michigan State University Department of Urban and Regional Planning Prepared by Amy R. Golke Haslett, Michigan May 2000 .l _ (fina- .'| .\ l-."i .. ,-_ ,. L;:"\IN A C KNO WLEDGEMEN T S Many people have supported, directed and encouraged my efforts with this Plan B Research Paper. I especially appreciate Professor Rex LaMore ’3 help in developing the idea and Ms. Mickie Martin and the Williamsth Township stafl for providing me with the information and materials needed Thank you. TABLE OF CONTENTS SECTION PAGE NO. 1.0 INTRODUCTION ............................................................................................................... l 1.1 Study Area ..................................................................................................................... 2 1.2 Limitations of Report .................................................................................................... 5 2.0 BACKGROUND ................................................................................................................. 5 2.1 Definition of Cluster Subdivisions ................................................................................ 6 2.2 Variations with Cluster Subdivision Ordinances .......................................................... 7 2.3 History of Cluster Subdivisions .................................................................................... 9 3.0 THE IMPORTANCE OF CLUSTER DESIGN ................................................................ 11 3.1 Cluster Design and Sustainability ............................................................................... 11 3.2 Cluster Design and Agricultural Preservation ............................................................. 12 3.3 Cluster Design and Affordable Housing ..................................................................... 13 4.0 SUPPORTING EVIDENCE FOR THE COST BENEFITS OF CLUSTER DESIGN ................................................................................ 17 4.1 1971 Real Estate Research Corporation Study .......................................................... 17 4.2 1986 National Home Builders Association Study ...................................................... 19 4.3 1992 Melissa Armstrong Study ........ 21 4.4 Other Related Studies ................................................................................................. 23 5.0 WILLIAMSTOWN TOWNSHIP CASE STUDY ............................................................ 25 5.1 Williamstown Township’s Program ............................................................................ 26 5.2 Case Study Subdivisions ............................................................................................. 27 6.0 COST COMPARISION METHODOLOGY .......................................... . ......................... 29 7.0 CALCULATIONS ............................................................................................................ 35 8.0 RESULTS .......................................................................................................................... 39 8.1 Total Costs Reviewed .................................................................................................. 40 8.2 Soft Costs versus Hard Costs ...................................................................................... 42 iii TABLE OF CONTENTS (Concluded) SECTION PAGE NO. 9.0 DISCUSSION AND IMPLICATIONS ............................................................................ 43 10.0 CONCLUSIONS ............................................................................................................... 45 11.0 BIBLIOGRAPHY ............................................................................................................. 47 FIGURES Figure 1 Location Map ............................................................................................................. 3 Figure 2 Site Location Map ...................................................................................................... 4 Figure 3 Example of a Conventional Subdivision and a Conservation Subdivision ............... 6 Figure 4 Multiple-Family Dwelling ....................................................................................... 16 Figure 5 Steeplechase Subdivision, Williamstown Township ............................................... 27 Figure 6 Cherry Valle Subdivision, Williamstown Township ............................................... 28 TABLES Table 1 Summary of Possible Costing Categories ................................................................. 18 Table 2 Subdivision Measurements ....................................................................................... 21 Table 3 Method A Means Cost Categories ............................................................................ 33 Table 4 Method B Cost Categories: Generic Sources and Questions .................................... 34 Table 5 Method A Calculations Worksheet ........................................................................... 36 Table 6 Method B Calculations Worksheet ........................................................................... 37 Table 7 Summary of Calculation Costs Worksheet ............................................................... 40 Table 8 Summary of Soft Costs ............................................................................................. 42 EXECUTIVE SUMMARY Cluster, or conservation, design subdivisions group homes on smaller lots, allowing the remaining land to be preserved. While this planning technique is not new, it is growing in importance for rural communities desiring to maintain a rural feel in the face of residential development. That is the reason Williamstown Township, Michigan, implemented a Rural and Open Space Environment (ROSE) Overlay district option, which allows for conservation designs in residential zones. Although the Township may prefer conservation design subdivisions to platted, conventional subdivisions, developers are usually the final decision maker and as such, it is important to demonstrate the financial benefits in terms of development costs, not including density bonuses or sub- standard infrastructure incentives. The purpose of this study is to compare the development costs of two subdivisions in Williamstown Township. The hypothesis being that conventional designs are more expensive because of more linear feet of road and utilities required. Steeplechase, the conservation subdivision, is approximately 65 acres and consists 22 lots. Cherry Valle, the conventional subdivision, is approximately 59 acres and consists of 17 lots. The development costs, such as property purchase, surveying, site design and infrastructure installation, were calculated for each subdivision under two methods. Method A costs were calculated from RS. Means Inc. Means Residential Coit Data from 1999. Method B costs were calculated from estimates provided by local industry professionals. The results show that indeed development costs are greater for conventional design subdivisions, by approximately 40% per lot. The results also indicate that soft costs (e.g. engineering, government review and site design) are not necessarily less for conventional subdivisions, an argument often made by those who feel upfront/soft costs are a deterrent for would-be conservation developers. The limitations and considerations associated with the methods and final outcomes are also addressed. The findings of this project are not surprising. However, the importance of conservation design, in terms of promoting affordable housing interests, forwarding sustainability objectives and reducing land use conflicts make it a topic worthy of consideration. 1.0 INTRODUCTION Cluster subdivisions are an alternative to the conventional, platted subdivision. Cluster subdivision designs concentrate smaller-lot homes on a certain portion of the site, leaving the remaining land undisturbed. Communities, residents and environmentalists are easily sold on the merits of this growth management tool because it preserves natural features such as woodlands, wetlands, scenic landscapes and agricultural land, and provides an avenue for passive recreation. Planners like cluster designs because it can reduce conflicts inherent between agricultural and residential land uses. Developers embrace cluster designs only when development costs are reduced and there is a market for closer, smaller-lot homes surrounded by a natural feature. Since developers are the party most likely to develop a residential subdivision, convincing this group of the financial gains is important. Although the cost savings of infrastructure is somewhat obvious--less linear feet of road means less money spent on paving-~the initial costs (i.e. design, time spent in government review) can be a deterrent. The purpose of this study is to demonstrate the cost savings of cluster development by comparing the development costs of an actual cluster subdivision and an actual conventional subdivision in Williamstown Township, Michigan. The hypothesis is that conventional development costs are greater than cluster development costs. The single-family residential subdivisions under consideration are located in Williamstown Township Michigan: Cherry Valle, a conventional subdivision, and Steeplechase, a conservation subdivision. Two methods were employed to determine development costs. Method A entailed selecting development cost categories used in similar construction-cost comparison studies and then calculating costs based on the subdivision dimensions and R. S. Means Company, Inc., Means Residential Cost Data, 1999. Method .. ,\ l'. '9‘ “I. B involved selecting development cost categories used in similar construction-cost comparison studies and then calculating costs based on estimates obtained fi'om industry professionals. From planner’s perspective, cluster subdivisions are a very important tool. Cluster subdivisions save the community money through infrastructure costs, and preserve resources. This type of development is an alternative to large-lot zoning, which has been connected to exclusionary zoning and loss of rural open space. If not properly implemented, cluster developments can have the same efl‘ect, however, such designs also present an excellent opportunity to include affordable housing opportunities within the community. 1.] Study Area The subdivisions under review are located in Williamstown Township, Michigan (Figure 1). Williamstown Township consists of 16,100 acres and is predominantly rural. As of 1992, approximately 12,553 acres were reserved for agriculture and approximately 5,050 acres remained vacant (Master Plan 1992). In an effort to retain the rural and open space character in the wake of development, the Township adopted a Rural and Open Space Environment (ROSE) Overlay Option which allows for cluster designs to be implemented by—right under certain zones. Figure 1: Location Map Source: I/Net Inc. (www.inetmi.com) The two subdivisions under study are located in the southern portion of the Township (Figure 2). Steeplechase is the name of the ROSE subdivision and Cherry Valle is the conventional subdivision. Both projects were initiated in 1997. The sites are discussed in detail in Section 5.2. Figure 2: Site Location Map Source: Williamstown Township Zoning Ordinance, 1997. 4 1.2 Limitations of the Study The benefits of cluster developments reach beyond costs to the developer; planning subdivision developments with open space produces many intangible benefits. However, the technique for placing a dollar value on a scenic landscape or a shortened commute is a study unto itself. While this paper acknowledges the many real and perceived benefits of cluster designs, it only attempts to measure the costs of development for two residential subdivisions in Williamstown Township, Michigan. Another consideration is with the self-reported error associated with Method B. Cost estimates received by industry professionals were not validated in any way. While there is no reason to suspect that the answers were not genuine, there is no way to ensure that the responses were not true or accurate. 2.0 BACKGROUND At first glance, the cluster development concept is rather easy to grasp. Perhaps it is not until a planner or community chooses to adopt a program that the many nuances of a program are realized. Since this study compares two developments in Williamstown Township, it is necessary to review the components of its program. As supplementary information, this section also provides a history of cluster designs and explains their importance. 2.1 Definition of Cluster Subdivisions Cluster subdivisions concentrate buildings on a portion of the site, leaving the remaining land undisturbed. This is in contrast to a conventional, platted subdivision, which develops the entire parcel of land. Figure 3 illustrates the design differences between conventional and cluster development. Note that the cluster design has the same number of lots as the conventional plan; the net effect is that lots are smaller and open space, the lake and woodlands are preserved in perpetuity. Permanent Open Space , .. yup-‘17." I»: v ' .K ,7 f'hi. ’ fl ' if. y: t\ _~.‘(y"i‘ _ Na! ' ' ' ' -"-’l ' . ”are _ «~ ' l . 2'1' . ‘, j 1- “1.93;: . ,x 4‘ ,.;.;_~;jl .g be Irral/ fifw‘j’i'xp: . Figure3: Conventional Subdivision (left) and Conservation Subdivision (right) Source: Arendt, Randall, 1994. Rural by Design, 31. Cluster programs are referred by many names: conservation, open space, or other acronyms. For example, Williamstown Township, Michigan uses the Rural and Open Space Environment (ROSE) title, while Livingston County, Michigan uses Protect Environment, Agricultural, and Rural Landscape (PEARL). Although cluster is a popular term, proponents caution its use because of the negative perception cluster developments received when first introduced in the 19603. To some, clustering was abused by developers and is synonymous with density increases and retention basins that double as open space (Thompson 1997, 71). Cluster developments are not Planned Unit Developments (PUDs), also referred to as Planned Developments (PDs). Distinguishing features are that PUDs usually offer a mix of housing types, are required to preserved less open space, and include community facilities to residents of the development (WA State 1984). 2.2 Variations Among Cluster Subdivision Programs The grouping of homes to preserve energy or natural resources is the concept behind most cluster development programs. Since every community is unique, each cluster program will vary accordingly to meet that community’s needs. This section reviews three common variables of cluster programs: the method of implementation, the provision of density bonuses and the amount of land to be preserved. 2.2.1 Variation in Implementation Implementation of cluster programs through an ordinance is common. Cluster designs can be written into a zoning code as a by-right, an overlay district, or a floating zone. The most effective methods are the by-right zoning or overlay districts (Arendt 1997, 139). By-right means that the developer would not have to apply for a special use permit or another similar review that adds time and cost to the review process and therefore the development. Lengthy review and associated fees are often obstacles to developers opting for conservation over conventional designs. Overlay districts are applied to portions of land within the community and either add to or over-ride the current zoning conditions. Williamstown Township has implemented cluster design options through a Rural and Open Space Environment (ROSE) overlay district. Zones that have the ROSE overlay can develop either the conventional platted subdivision or opt for a conservation design, at the developer’s choice. Adoption of by-right zoning or zoning an overlay district is not usually politically controversial topics for communities. Neither tool involves down-zoning, tax subsidies, or complicated development right transfers—all of which can be obstacles to adoption. Another reason for the preference of by-right and overlay zoning is that takings claims cannot be brought against the municipality because both programs allow the developers to develop the land at its full density (Arendt 1998, 22). The use of floating zones—zones that are not tied to a geographical area—is not recommended: “Several clusters could pop up throughout the countryside, causing increased traffic congestion and the typical leap-frog development that fragment the land base and make farm operation and expansion difficult” (Daniels 1997, 133). Although the above quote is addressing conservation developments in predominantly agricultural communities, the leap-frog of developments could occur and thwart any effort at preserving a network or large area of a natural feature. 2.2.2 mum in Density One of the most controversial aspects of cluster ordinances is density. Good practice dictates that the overall density of a cluster development be equal to the density allowed under the conventional subdivision. To ensure that more homes are not squeezed into a cluster design, ordinances will require both a conventional and a cluster design for the same parcel. The density of the cluster design is determined based upon that amount used in the conventional design. Some communities offer density bonuses as incentives for developers to build cluster designs (Armstrong 1992, 13). As a result, there is a negative connection between cluster designs and unnecessary and unearned density increases for the developer (Thompson 1997, 71). Communities implementing cluster programs should be aware of citizens making this association. 2.2.3 Variation in Ratio of Preserved to Developable Land After density, the community decides the ratio of land developed and land preserved. Generally, 50 percent to 80 percent of the parcel must remain undeveloped For example, Williamstown Township’s Rural Open Space Overlay District Option requires cluster developments to comply with a 50:50 open-space to developed-space ratio in Rural Residential and Rural Estate districts. The Township allows for a 65:35 ratio for Agricultural Small Farms and AG-C Commercial Agricultural districts. Suburban Residential districts require only a 35:65 area ratio. 2.3 History of Cluster Subdivisions The grouping of homes is not a new concept. Mediterranean Hill Towns, Artic igloo villages, American Indian pueblos, and African villages are referred to by some as the true beginning of conservation design (Gauch et a1 1978, 2). Although these examples arguably developed as a result of social order and necessity--not to preserve open space or rural character per se--the design may have survived because of its efficiency as well as cultural tradition. Perhaps a more relevant point of origin can be found in Ebenezer Howard’s Garden City Movement of the late lSOOs/early 19008. Howard, an English Court Stenographer, dedicated himself and his resources to promoting environmentally-sound development, advocating that a city should be surrounded by an agricultural belt, or greenbelt. Howard’s Garden City Movement had a greater influence in Great Britain than in the US. The first US city to include the greenbelt concept and associated clustering of residences was Radbum, New Jersey (Gerckens 1998, 20D). Radbum was constructed in 1928 and designed by Henry Wright and Clarence Stein. The idea of preserving open space was later furthered in 1963 by the "New Town" designs developed in Columbia, Maryland by James Rouse and of Reston, Virginia by Robert Simon (T ibbets 1998, 4)(Gerckens 1998, 20D and 121)(Maryland 1994, 1). These designs are characterized as being "neighborhood units surrounded by greenbelts with bicycle and pedestrian trails separated from the road systems" (Gerckens 1998, 121). During the 1960s and 1970s, the idea of residential cluster developments complimented the environmental movement and was promoted as a method to conserve resources such as energy, environmental, and open space (T ibbets 1998, 4; Gerckens 1998, 20D and 121; Maryland 1994). Unfortunately, many Americans embraced a large-lot philosophy long before Howard developed his theory. The American dream of owning land can be traced back to 1785 when the Northwest Territory was divided into 640-acre sections and parceled into one-acre lots. The one-acre lot became the standard, acceptable size for which a family could farm and support itself. Frank Lloyd Wright added momentum with his 1935 book, Broad Acre. His sentimental idea of returning to an agrarian society fast became the guideline for developing suburban neighborhoods (Gerckens 1998, F-15). The vision was of a civilized society: "no less than an acre to each individual man, woman, and child (Knack 1991, 9)." While open space is maintained through one-acre lot sizes, sprawl is the end result. The large lot mind set is believed to be a prominent reason for the slow acceptance of cluster developments (even single-family detached cluster developments) (ibid. 9). 10 3.0 THE IMPORTANCE OF CLUSTER DESIGN A planner should be concerned with cluster design as it is a valuable planning tool, borrowed by many interest groups as a solution for planning challenges. Environmentalists contend that clustering forwards the goals of sustainable living: minimizing the ecological footprint, conserving resources used in building developments and improving air quality by reducing commuting distances. Agricultural preservationists argue that, used with density decreases, clusters reduce the likelihood of land use conflicts. Economic developers may view cluster design as a method for increasing property values in a community. While some affordable housing advocates may shun cluster for appealing to the more well-to-do, others may apply cluster’s cost-saving designs to affordable housing and take advantage of integrating affordable housing in up-scale cluster developments. The following sections expand upon each of the above—mentioned causes that cluster designs can forward. 3.1 Cluster Design and Sustainability Sustainability is defined as "development that meets the needs of the present ’without compromising the ability of future generations to meet their own needs’ (World Commission on Environment and Development, 1987, 43)" (Beatleyl994, 143). Sustainability is accomplished when economic, social and environmental objectives are balanced; sustainable projects are those that increase economic activity, promote social well-being and benefit, or at a minimum not harm, the environment. Cluster designs fare nicely when compared to these standards. Cluster designs protect resources by minimizing the ecological footprint of a development (Porter 1997, 83-4). Historically, attempts at preserving open space were made through large-lot ll zoning (Arent I992, 186). Although large lots do preserve open space, they also promote sprawl, increasing driving distances and by doing so, increase air pollution. Not only do cluster designs protect the resources immediately adjacent to the developments, but they also reduce the resources used during construction. Using fewer materials saves energy with regard to material manufacturing and transportation and to the building of the subdivision, another sustainable characteristic. Cluster subdivisions can place the environment at risk in situations where private septic systems were installed in the 19603 and 19703. Those systems are eroding in the 19903 and 20003, causing water pollution (Daniels 1997, 134). Not only is this an environmental hazard, but a costly problem of these communities in terms of providing services to the developments and cleaning-up the polluted water. However, with modern technology, septic systems installed today should stand up adequately over the long-term (Arendt 1997, 141-2). 3.2 Cluster Design and Agricultural Preservation Agricultural land uses frequently generate nuisances. Nuisances are not a problem in rural areas where there is plenty of space between homes and farms, or where every home is owned by a farmer. However, property owners who moved to the country for fresh air and scenic views often later complain of the adjacent farm’s noise, odor and traffic jams caused by its slow-moving tractors that travel on county roads from the garage to the field. After-the-fact solutions to the land-use conflict between residential zones and agricultural zones are difficult, if not impossible to implement. Since the development is going to occur, clustering the homes on the site furthest away from the farm may help reduce the noise, odor and traffic grievances. 12 Cluster designs can be used to reduce land use conflicts in agricultural areas, however, the success of this technique relies in appropriately reducing the density. For example, for a 20- acre parcel of land that could support 40 lots, the density should be reduced to 5 or 10 homes and grouped on the parcel in a manner that minimizes adjacency to agricultural uses in the area. Trees or hills should be used as natural barriers between the homes and the farms. (Arendt 1997, 138-140). Still, some contend that even with the reduction of density, cluster designs will not resolve land use conflicts between farmers and residences; even though the residents are grouped, traffic, noise and odor problems will ensue. More damaging is that the new subdivision unbalances the farmers’ political base within the community. Rather than 1 farmer to every 5 people, new subdivisions can reduce the ratio to 1 farmer for every 50 people. If the farmer’s voice was slightly heard without the developments, it may be drowned by opposition brought on by subdivision developments (Daniels 1997, 132). If the community's goal is to preserve farmland and its economy is heavily based in agriculture, then designating an exclusive agricultural district is the most recommended preservation method (Daniels 1997, 136) (Arendt 1997, 141). 3.3 Cluster Design and Affordable Housing Cluster design can either be a detriment or a benefit to affordable housing advocates. That cluster housing can drive affordable housing out of an area is a legitimate argument (Arendt 1994, 71). The assumption is that open space is a valued commodity and increases the values of adjacent properties to the point of non—affordability. A review of history shows this example to be true. 13 Radbum, New Jersey is a classic example. Devel0ped in 1928, Radbum was originally designed for moderate-income households. However, Radbum quickly became--and continues to be—a neighborhood for higher-income households. The reason is attributed to Radbum’s once- unique design: clustered homes, pedestrian pathways and open space (Arendt 1994, 321). Another example is Central Park in New York City. During the park’s construction, designer Frederick Law Olmstead found that property values decreased with distance from the park: “at 40 feet, the park accounted for 33% of the land value, at 1,000 feet, 9%; and at 2,500 feet, 4.2%” (Arendt 1994, 286). Homes in cluster designs can also appreciate at higher rates, again demonstrating that property values may rise, making them no longer affordable (Lacy 1992). Another aspect of clusters being detrimental to housing affordability is the intentional use of clusters as an exclusionary technique. Ordinances that require a minimum lot size, floor area or excessive development fees have been found to be exclusionary (Orfield 1998, 58-9). Lot sizes of cluster designs tend to be a function of soil type and septic system, as dictated by the Health Department. However, lot sizes that are larger than that required could be construed as a deliberate attempt to ensure that such developments are only for the wealthy. From the above literature, it appears as though one cannot be a proponent of cluster and affordable housing at the same time. This conclusion would be false. The tendency for cluster designs to be thousands of dollars less in terms of construction costs than platted subdivisions has kept its application to housing affordability viable (see Section 4.0). The National Home Builders Association (NHBA) prepared an entire document in 1974, and updated it in 1986, that illustrates affordable housing strategies through cluster design (see Section 4.2). Smaller lots, angled l4 placements, detached garages and exteriors that give the appearance of large, single-family attached homes are just a few of the techniques offered by the NI-IBA. The idea being that reduced costs in land and construction translates into less costs passed on to the homeowner: “Cutting the lot size from the lot size from 10,800 square feet to 7,200 square feet would save an average of $3,600 dollars per unit in land costs and $3,750 in utility fees. Smaller lots would also reduce costs of street maintenance, snow plowing, garbage pickup, and other municiple services” (Orfield 1998, 59). Although small, detached houses on small lots is also supposed to appeal to the lower and moderate-income brackets, Radbum, as discussed above, shows this not always to be true. One solution is to incorporate affordable housing into up-scale cluster developments. The community could adopt an inclusionary zoning standard. However, this may be controversial and difficult to pass. An alternative means would be to establish a land trust, which would incorporate affordable houses within a high-income cluster development (Arendt 1994, 170-1). For more urban areas, other funding sources could be diverted toward this effort. Myron Orfield describes the use of a Metro Fund, money obtained from property tax base—sharin g, to provide housing opportunities in suburban areas (Orfield 1998, 81). Money from the Metro Fund could be applied toward affordable homes in cluster designs. Designs show that affordable homes do not have to look affordable or out-of—place in up-scale neighborhoods (Figure 4). 15 fl ' “.g is '1'.qu :1. 1.. 3*. , l - _ L’- tebiiii 2 . Figure 4: Multiple-Family Dwelling Source: Randall Arendt, 1994. Rural by design, 156. at": l l r - .I ".5" .n _,3, .. _. .1 While interspersing affordable and higher-income homes in clusters makes a land trust to appear as “caring as much about the human resources ...as they do natural resources,” (Arendt 1998, 170) it also makes sense economically. The economic soundness is supported by Myron Orfield’s solution to reducing poverty in inner cities: the decentralization of poverty. The ‘push of concentrated need’ and the ‘pull of concentrated resources’ is diminished by diffusing poverty throughout the region. In the present context, Orfield’s theory is extrapolated to suburban clustered developments; integrating affordable housing in cluster developments reduces the concentration of poorer households in a downtown center. The integration also reduces the need for the upper class to move further away from the impoverished—in effect, reducing the perpetuation of urban sprawl. The economic viability of the community is also more secure when needs and resources are evenly distributed throughout the region (Orfield 1998, 2). 16 4.0 SUPPORTING EVIDENCE FOR THE COST BENEFITS OF CLUSTER DESIGN Cluster designs gained momentum in the 19603 and the studies that demonstrated their cost- effectiveness, in terms of development costs, began in the 19703. The studies identified in this literature review were not straight-forward comparisons; the studies did not compare different designs of the same size parcel and with the same type of housing. Rather, studies compared the development costs of single-family detached conventional subdivisions with single-family detached, attached and multiple family cluster developments. Studies of this nature tend to conclude that the cost of clustering is cheaper because infrastructure costs are divided among more people in cluster developments and that clustering—because of the higher density--negatively impact the environment. Although not apple-to-apple comparisons, the studies noted below do provide support for the research question of this paper: that development costs of single-family conventional developments are greater than the development costs of single-family ROSE/conservation developments. 4.1 1974 Real Estate Research Corporation Study (RERC) The RERC study produced The Cost of Sprawl in 1974, which compared two hypothetical situations, or "prototype development patterns," with various housing arrangements to determine the costs of different neighborhood types, and to identify public and/or private costs. Each development type included 1,000 units on 6,000 acres, and consisted of single-family cluster homes, single-family conventional homes, town houses, walk-up apartments, and high-rise apartments. There were a wide range of variables analyzed, including costs to the environmental, deve10per, resident and community. A summary of site development costs from the study are provided as Table 1 (on the following page). 17 Summary of Cost Factors TABLE 1 Costs to the Costs to the Costs to the Study Costs to the Developer Environment Residents Community RERC 1974 Residential Capital, Air Pollution, Water Time Usage, Open Space, Infrastructure & Pollution, Erosion Psychic Costs, Schools & Utilities Noise, Vegetation, Travel Time, Traffic Public Services Wildlife, Visual Accidents & Crime Effects, Water & Energy NAHB, 1986 Street & Pavement, Curbs & Street Trees Gutters, Driveways, Storm Grading & Seeding Drainage, Water Distribution Sanitary Sewer, Grading, Clearing & Grubbing & Sidewalks Pieser, 1984 Land, Infrastructure Site Property Taxes Property Taxes Preparation & Development, Marketing & General Administrative Lacy, 1990 Assessments Armstrong, Survey & Engineering, 1992 Government Review, Infrastructure & Sewer Treatment Plant Trust for Wildlife Corridors Property Taxes Generated Public Land, Revenue 1997 Public Services Schools Property Taxes Productive Farm Fields Bond Ratings 18 The methodology utilized for RERC study included reviewing literature to obtain costs and then apply the costs from literature to the hypothetical developments. Standards for costs were obtained through the literature review. When there were multiple sources of standards, RERC determined a “reasonable single standard” (RERC 1974, 30) Development costs were calculated from “reference texts or averages of case studies for each cost category, employing the same criteria used to obtain standards” (RERC 1974, 31). The methodology also included phasing the developments and discounting each phase to account for present value. The study concluded that building at higher densities lowers economic costs, lowers costs to the environment, lowers natural resource consumption, and lowers personal costs (e. g. travel time, traffic accidents, crime). The caveat was that the findings do not necessarily hold for the development of a given land parcel and the features of the site can substantially impact the costs. Also, several factors were not taken into account, such as housing preference or the amount of revenue generated by different development types. While this study demonstrated cost savings with regard to cluster developments, it also made a strong argument that development densities were central to costs. 4.2 1986 National Home Builders Association Study The second most well—cited reference is Cost eflective site planning: single-family development by the National Association of Homebuilders (N AHB) in 1986. The purpose of this study was to provide guidance for developing affordable, hi gher-density housing on smaller lots. Environmental (i.e. housing placement for energy conservation), economical, and architectural aspects of developing residential housing are also taken into consideration. 19 Part of the study is dedicated to comparing cluster and conventional subdivisions. The study used a 472-unit conventional development and a 472-single and multi-family unit cluster development (20.2% of total area preserved as open space; 0.6% preserved for commercial use). Variables measured were: street pavement, curbs and gutters, street trees, driveways, storm drainage, water distribution, sanitary sewer, grading, clearing and grubbing and sidewalks. Engineering fees were calculated as 5.8% of the total estimated cost. The result was that the conventional subdivision development cost was $4,344 more per dwelling unit than for the cluster subdivision. A summary of site development costs from the study are provided as Table 1. The methodology utilized in the study was to choose variables for each subdivision, as listed above, put costs to each of those variables, total the values and compare the results. The means for determining the costs are not listed; the acknowledgments cite consultant James P. Krawczyk of County Engineering, Inc. as the provider of engineering and development cost input (NHAB 1986, ii). The summary of the study reviewed several points for consideration concerning cluster and conventional subdivisions: 0 Costs savings due to less infrastructure associated with the cluster design may not be realized if the developer does not exercise sound business judgment. 0 The development review process must be organized and well-thought out by the local government. 0 Local opposition to cluster designs is due to the misconception that a cluster development means increased density. However, increased density does not have to be a component of the program. Also, open space can serve as a buffer between the homes and the adjacent lots. 0 A wider range of housing styles and prices is possible with the cluster design. By comparison, conventional lots have not historically been able to allow for incorporating changes in housing stock within a neighborhood. 20 0 While the main selling point of a conventional lot is the surrounding neighborhood, there are many ways to market a cluster subdivision: appeal to open space, out-door living, etc. 0 The cost of the houses in clusters will be less as less development costs will be passed on to the buyer. 0 Costs to maintain the open space must be factored into the equation at some point. If the land remains in a natural state, then costs will be low. Similarly, residents must realize assessments for lawns or gardened open space (NAHB 1986, 118-120). 4.3 1992 Melissa Armstrong Study A 1992 journal article "A comparison of private development costs" by Melissa Armstrong compares the costs of lot splits, standard subdivisions, and cluster condominium developments, subdivisions with open space and condominiums with open space. The purpose of the article was to demonstrate the cost savings of rural development designs. Recommendations for successful conservation design programs were also provided. Two consultants provided comparison costs for this study, each applying a slightly different methodology. The first consultant provided cost data for the same hypothetical 60.6-acre parcel under five different development scenarios. The scenarios under consideration were a 6-lot lot split, a 40-lot platted subdivision, a 40-lot cluster condominium development, a 6-lot subdivision with open space, and a 6-lot condominium development with open space. The development costs calculated included: soft costs (surveying and engineering) and hard costs (infrastructure, roads, water, sewer or a package plant sewer treatment plant). The second consultant calculated development costs for a lot split, a cluster condominium development and a standard subdivision. Unlike the first consultant, the development costs were not 21 calculated for the same hypothetical parcel nor were the number of lots per development type considered. The development costs were calculated to provide a “range of anticipated costs in a typical development situation” (Armstrong 1992, 8). The general cost categories were sirrrilarto the first study; government review expenses were included in this study. Also, the soft costs were more detailed, including the costs of the following: boundary, topographic, preliminary and final designs, plat or condo documents, construction and road drainage staking, stake lots, meetings, construction inspection and attorney expenses. A summary of development cost factors from the study are provided as Table 1. The number of lots for the standard subdivision was greater than for the open-space subdivision; where the platted and open space designs contain the same number of lots, the open space consists of multiple family dwellings. As previously stated, Williamstown Township's ROSE allows for the same number of units to be built on a parcel as allowed under a standard subdivision, and all units are single-family detached. Conclusions drawn are that a "thoughtful cluster design will almost always save the developer money on road construction expenses (Armstrong 1992, 12)," and that "the high cost of designing a smaller scale project as well as providing the necessary infrastructure is sometimes prohibitively high " (Armstrong 1992, 12). This study concluded that development costs per lot were less for cluster designs. She also acknowledges the need for more similar studies to demonstrate the cost savings of cluster design. 22 4.4 Other Related Studies The following studies are reviewed to provide a balanced discussion of cluster development literature. The studies do not necessarily compare the costs of development, however, their inclusion demonstrates the benefits of cluster design in other areas (e.g. assessed values). "Does it pay to plan suburban growth?" by Richard Peiser in 1984 This study compared the costs associated with a planned development and an unplanned development in Houston, Texas, with an emphasis on transportation costs. Although the study’s development types are not comparable to those in Williamstown Township (all development is planned), the study introduced interesting measures of cost: land value, property taxes, infrastructure, site preparation and development, marketing, and general administrative costs. The conclusion is that costs-~land development, transportation, and social--are less for planned developments than for unplanned developments. However, this study is more relevant to the costs of sprawl than to costs appropriated to designated residential developments. "Selling cluster" by Ruth Knack (1990) This journal article discussed Randall Ardent’s nationwide promotion of cluster developments in lieu of conventional developments. He suggests that localities will be successful in its efforts to preserve open space through cluster design if 1) cluster developments are mandatory 2) the developer is required to submit both cluster and conventional plans. The latter statement is practiced by Williamstown Township and therefore supports the assertion that Williamstown will be successful in its effort. Ardent contends that "the enemy is not the developer but the pattern of development (Knack 1990, 7)." 23 Comparison studies are necessary to defend the merits of cluster developments. Development cost savings is one approach, another is property appreciation rates. This article quotes Jeff Lacy’s study (Section 7.4) as evidence that cluster developments "appreciate at a significantly higher rate (Knack 1990, 8)." Also, New York, and towns in Maine and Massachusetts have seen the most success with cluster developments because they have adopted enabling legislation, allowing for mandatory clusters. “The one-acre habit is hard to break” by Ruth Knack (1991) This journal article provides a counter argument to Knack’s 1990 article and provides evidence against my hypothesis if marketing costs are included in the cost measurement. Knack presents reasons for the N AH’s finding that the American homeowner’s desire for a one-acre parcel is "still the gospel (Knack 1991, 8)." Other reasons for the public’s resistance toward cluster neighborhoods include the ability to market one-acre sites based on the American dream and the exclusionary benefits of large lot zoning. A personal preference poll by the University of Illinois, Chicago in 1989 found that of the 75 persons interviewed, all said that land ownership was associated with status, and the more land owned meant higher status. Everyone wanted more land, no matter the size of their current holdings. Knack speculated that maybe this would change when people realize that their children and parents cannot afford to buy a home. Another insight is that septic systems may to be the key to lot size. For example, in Nevada, the l-acre minimum is necessary for adequate septic fields and wells. Through conversations with Williamstown Township, it is known that porous soils mean that more space between residences may be required, rendering cluster developments more difficult to implement. 24 Economic benefits of open space compiled by Pamela Iguchi (1997) Pamela Iguchi compiled excerpts from fifteen studies that provide evidence for the value of open spaces versus developed land uses. The conclusions of each of the fifteen excerpts suggest that it is less costly for local governments to maintain land as open space than to develop that same piece of land; and, more importantly, for the purposes of the research hypothesis proposed in this paper, that open space will actually make land within the community more valuable. Although this source of information does not directly relate to the research hypothesis, it does provide insight into measurements of development costs. These include town debt ratings, tax revenues, education costs, and property taxes among the indicators of open space benefits to a community. 5.0 WILLIAMSTOWN TOWNSHIP CASE STUDY Williamstown Township’s rural environment has been very attractive to home owners in recent years. Developers have responded to this demand by building homes. Left alone, the platth subdivision would jeopardize the rural nature of the Township; by moving to the township, home buyers would be jeopardizing the very reason for moving there. To ensure that the rural character was maintained in the face of subdivision development, in 1996 the Township adopted a Rural and Open Space Environment (ROSE) Overlay District. The overlay district allows developers the option of building cluster subdivisions rather than conventional (platted) subdivisions in zones where single-family housing is a permitted use. Rather than spreading homes uniformly across the landscape, thus eliminating any large patch of open space, 25 grouping homes in one area of a property allows the preservation of open space or other natural features. 5.1 Williamstown Township’s Program Williamstown Township’s 1992 Master Plan provided the reasoning for adopting a ROSE Overlay Option: “To build on features that the residents find most appealing—the Township’s rural character, the open spaces, woodlands, farmlands, meadows, rolling topography, wetlands and streams. The plan is designed to allow development to meet current and future needs, while preserving rural and open space, farmlands and environmental quality. Toward this end ... The master plan sets forth innovative planning concepts, such as Rural and Open Space Environment (ROSE), that are intended to preserve the rural qualities sought by residents and visitors” (W illiamstown 1992, v). The Master Plan goes on to recommend that the zoning ordinance be revised “to require recreation/open space facilities in new subdivisions and condominium developments” (Williamstown 1992, Recommendation #4, Recreational Facilities Section). Subsequently, the subdivision ordinance was revised such that sketch plans of both conventional as well as conservation designs are required for each application (W illiamstown 1997b, Article 3, Section 3.5). Additionally, the zoning ordinance was revised to incorporate a ROSE overlay district in July of 1997 (W illiamstown 1997a, Section 8.03, Part C). Systematically changing the Master Plan, Zoning Code and Subdivision Regulations is a recommendation of The National Land Trust’s Growing Green Program (Arendt 1998, 20). 26 5.2 Case Study Subdivisions Williamstown Township is an excellent community for a comparison study on development costs; since the adoption of the overlay district in 1996, at least one conventional and one ROSE development have been developed. Steeplechase is the only ROSE development in the Township and is located on the east side of Zimmer Road (Figure 2). The project was initiated in 1997. Lot prices range from approximately $59,000 to $140,000. The total acreage is 64.86 acres, a single lot size is approximately 0.67 acres and the cluster design preserves 33.27 acres of open space (51% of the total acreage). The land was divided into 22 parcels. Figure 5 (below) presents a site plan. Source: provided by Williamstown Township Cherry Valle was selected as the conventional subdivision for comparison to Steeplechase. Cherry Valle is located west of Zimmer Road (Figure 2). The project was initiated in 1997. The price per lot ranges from $50,000 to $60,000. The total area of 59 acres has been 27 divided into 17 lots, with the average lot size being 2.5 acres. There is no open space preserved in this development. Figure 6 (below) presents a site plan. ZIMMER ROAD Figure 6L;e Mi —_ramistown Township Source: provided by Williamstown Township One other conventional subdivision was considered for comparison: River Run. The subdivision was initiated in 1998, had a total area of 103 acres, which was divided into 15 lots. Lot prices ranged from $56,500 (for a 2-acre lot) to $103,500 (for a 5-acre lot). However, the site plan was rather different in that one lot consumed nearly 40 acres. Given this atypical platting, River Run did not appear to be a good basis for comparison. Cherry Valle was selected as the conventional subdivision for the comparison as it is a typical platted subdivision and its acreage and number of lots are more similar to Steeplechase than were River Run’s statistics. 28 That Cherry Valle and Steeplechase are in close proximity to each other—and therefore located in the same part of the Township—controls many external factors that might otherwise add or detract value to either subdivision. For example, the utilities for both subdivisions would essentially be the same: connections to city water, electricity and gas as well as the soil type for septic systems. Differences that impact personal preferences would also be negligible: commuting distances to major Lansing employment centers, distances to schools, grocery stores, libraries and other public buildings and open space. Also, both subdivisions are in close proximity to agriculture and natural features: Steeplechase backs up to the Red Cedar River while Cherry Valle is nearer to agricultural areas (Williamstown 1992, Maps 4 and 6). 6.0 COST COMPARISON METHDOLOGY This study compares the development costs of two actual subdivisions in Williamstown Township, Michigan. The process for calculating costs involved a sequence of steps: 1. Selecting the categories for which costs should be calculated 2. Determining the measurements of each subdivision 3. Estimating construction costs using with RS. Means Company, Inc. 1999. Means Residential Cost Data (Means) (Method A), and 4. Estimating construction costs using data collected from industry professionals (Method B). Each step is discussed in the following text. Step 1. Category Selection Cost categories were first identified by reviewing the cost categories of previous development-cost comparison studies. The studies, with completed references provided in Section 11.0 of this report, included: 0 The cost of sprawl by the Real Estate Research Corporation, 1974 29 0 Cost efi‘ective site planning: Single family development. National Association of Homebuilders, 1986 ”Does it pay to plan suburban growth?” Richard Peiser, 1984 0 “An examination of market appreciation for clustered housing with permanent open space: Executive Summary.” Jeff Lacy, 1990 “Cost Comparison of Private Development Costs,” Melissa Armstrong, 1992, and Economic benefits of open space. Trust for Public Land, 1992. Although each of the above-listed studies has their own nuances, each contributes cost factors, which may be applicable in a cost-comparison study. Table 1 summarizes the cost factors utilized in each study. 1 Since this study compares development costs, the first column of Table 1, “Costs to the Developer,” was used for initial identification of potential categories. Costs were then selected based on two criteria: 1) the occurrence of the category in multiple studies and 2) the ability to calculate the cost using either Method A or Method B. For example, infrastructure appears in more than one study. The repeated occurrence deems infrastructure a standardized factor in cost comparison studies and is therefore used in this study. Similarly, government review or administration costs also appear in more than one study. Administration costs may include permit fees, legal fees, time spent reviewing designs with city planners and engineers or time spent at public hearings. However, since Means does not have such categories, these ‘soft’ costs were not included in Method A calculations. This is a limitation of this study (see Section 7.1). The development cost factors used for Method A included: property purchase, engineering (topography and surveying), site preparation and excavation support, earthwork (on-site 30 cut and fill), site design, stormwater management and installation of infrastructure (roads, septic systems, water, gas and electric). The development cost factors used for Method B included: property purchase, engineering (topography and surveying), earthwork (on—site cut and fill), site design, stormwater management, installation of infrastructure (roads, septic systems, water, gas and electric) and restoration. Step 2. Determining Measurements of Subdivisions Subdivision measurements were determined using site plans. Most linear dimensions are noted on the site plan. Table 2 presents a summary of the calculated subdivision measurements. TABLE 2 Subdivision Measurements Measurement Steeplechase (cluster) Cherry Valle (conventional) Total Acres 64.86 59 Total Lots 22 17 Amount of Acreage 31.59 59 Developed (for grading) (49%) (100%) Linear Measurement of Road 2800 3950 Paved Area (square feet) 100,800 142,200 Linear Measurement Doubled 5600 7900 Dwelling Units per Acre 2.95 3.47 Notes/Assumptions o Paved area for Steeplechase total: 100,800 square feet (Bridlewood Lane: 1900”“36’ = 68,400 square feet) (Trotters Lane: 900*36’ = 32,400 square feet) 0 Paved area for Cherry Valle total: 142,200 square feet (Cherry Valle: 1800”“36’= 64,800 square feet) (Fruit Belt: 2150*36 = 77,400) The linear measurement of road was calculated using the center line of the street The paved area was calculated using the linear measurement of the road and a 36-foot wide road. Site plans for both subdivisions indicated a road width of 66 feet. This distance includes a 36-foot wide road, seven feet of grass, seven feet of sidewalk, and one foot to the property line edge. 0 The linear measurement doubled was calculated for curbs and utilities, which must be installed on both sides of the road. 31 Step 3. Estimating Construction Costs Using Method A Method A calculated costs using itemized, per unit costs provided by RS. Means Company, Inc. 1999. Means Residential Cost Data (Means). The selected per unit cost categories are presented in Table 3 (on the following page). These numbers were applied to actual subdivisions in Williamstown Township. RS. Means Company, Inc. has supplied construction costs since 1942 and is considered a reputable source of construction costs. Means is one of the sources listed for building cost data in the Urban Land Institute’s (ULI’s) Residential Development Handbook (ULI 1978, 16). MEANS derives costs data by “analyzing all facts of the industry and continuously monitoring developments in the construction industry in order to ensure reliable, thorough and up-to—ate cost information” (RS. Means 1991, ii). The purpose of the company is “to provide the construction industry professional — the contractor, the owner, the architect, the engineer, the facilities manager — with current and comprehensive construction cost data” (RS. Means, 1991 ii). Means engineers contact industry manufacturers and suppliers daily for cost of time and material information. Means data is organized in an outline format. The general topic is assigned a number and construction activities under the general topic are classified as sub-numbers. Many of the topics allow the user to choose from several options. For example, 022 200 Excavation/Backfill/Compaction is under general topic, 022 Earthwork. To backfill, Means provides costs to perform the duty by hand, or with a dozer. Costs for adding a vibrating plate, necessary if the dozer-method is chosen, are itemized separately. For consistency, the proper technique must be applied to each development. 32 TABLE 3 Method A: MEANS Cost Categories Means No. I Category/Purpose l Cost J Unit A. Submittals 013-306-0010 Survey Conventional Topo (minimum) $165 Acre 013-306-0320 Lot location & lines (average) $440 Acre 013-306-0900 Property lines. perimeter for wooded land $0.77 Linear Foot 013-408-0050 Shop drawings/renderings (average) $1025 Each B. Site Preparation & Excavation Support 021 - 104-0300 Clear & grub: cut/chip heavy trees $8500 Acre 02 1- 104-0350 Grub stump removal $4875 Acre 021-108-0400 Medium clearing w/ dozer,ball & chain $915 Acre C. Earthwork - Onsite Cut and Fill 022-238-0200 Excavation using a front-end loader $1.15 Cubic Yard 022-204-0300 Compaction & Vibratory Plate $1.34 Cubic Yard D. Pavement 025-100-0500 Road paving asphalt concrete 6" stone base, binder course 3". $0.72 Square Foot l"-thick topping 025-250-0300 Curbs: concrete 6"x18" woodforrns, strought $5.56 Linear Foot 025-250-1800 Curb: insets (guttermouth) strought $180 Each E. Gas 022-258-1050 Excavating trench 4"x12" $0.26 Linear Foot 022-262-0800 Backfill $0.82 Square Foot 026-850-0100 60 psi coilc, 1h” diameter, SDR 9.3 $1.91 Square Foot E. Electric (1) 022-258- 1050 Excavating trench 4"x12" $0.26 Linear Foot 022-262-0800 Backfill $0.82 Square Foot 026-850-0100 60 psi coilc, W’ diameter, SDR 9.3 $1.91 Square Foot G. Water System 022-258-1050 Excavating trench 4"x12" $0.26 Linear Foot 022-262-0800 Backfill $0.82 Square Foot 026-686-2700 PVC pipe, 2” diameter $2.81 Linear Foot H. Stormwater Management 026-050-0050 J Manholes/cleanouts: utility vault precast 6", 5'x10'x6' high, 1b [ $2,325 I Each 1. Septic Systems 027-404-0100 Tank: 2,000 gallon $1,125 Each 027-404-1150 Leaching field chamber l3'x3.7'x14" standing $845 Each 027-404-2200 Excavation for septic tank $5.25 Cubic Yard 027-404-2400 Excavation 4' trench for disposal field $2.27 Linear Foot 027-404-1000 Distribution boxes. concrete, outlets $107 Each 027-404-2600 Gravel fill, run of bank $11.85 Cubic Yard (1) no MEANS data for electric-~used same numbers as gas (recommended by Dr. Matt Syal of MS U) 33 For each construction activity listed in Means, there are two types of costing data. One type is termed Bare Costs. Bare costs separate materials, labor and equipment costs. The second type of data is termed Total Including Overhead and Profit (0&P). The Total includes materials, labor and equipment costs as well as a 10% markup. The markup—overhead and profit--represents the profit margin. The Total Including 0 & P costs were used for this study. Other important qualifiers with regard to the data are: productivity based on an 8-hour working day; overtime is not factored into the costs; and projects are expected to be within a 20-mile radius of a major metropolitan area. Step 4. Estimating Construction Costs Using Method B The second method of calculating development costs was to obtain estimates from industry professionals. Similarly to Method A, the categories for costs were selected from previous studies (Table 1). The advantages of calling industry professionals for costs are that categories not accounted for in Means, such as administrative review, could be estimated and that parties interviewed were able to provide costs on a local basis. The category, general information source, question and response are summarized in Table 4. As part of agreeing to provide cost data, the names and businesses of industry professionals are confidential. TABLE 4 Method B: Cost Categories Category Comments/Qualifications Cost Unit Engineering Includes topography. construction staking & platting $700 Lot Site Design Conventional Design $100 Lot Conservation Design $200-$250 Lot Government Review Conventional Design $100 Lot Conservation Design More involved due to preserving open space. floodplain $150 Lot 34 Category Comments/Qualifications Cost Unit Clearing and Grubbing Includes leveling the site $7500 Acre Roads Excavation No off-site removal of dirt $2.75 Cubic Yard Sand $3.00 Square Yard Gravel $3.50 Square Yard Asphalt $5.50 Square Yard Curb and Gutter $8.00 Linear Foot Gas Installation is waved due to revenue to be generated by 0 NA homes Electric $10 Linear Foot Watennain 8 inch pipe. not located under street or sidewalk $16-$18 Linear Foot Stormwater management Manholes & cleanouts 4 foot diameter $1,400 Each Piping 12 inch piping, not in roadway $18-$22 Linear Foot Septic Systems Entire Installation for 2,000 gallon tank $3,300 Each Restoration Topsoil & mulch between curb and right-of-way $1.00 Square Yard Notes Utility costs include excavation and backfill in the estimate unless noted. 7.0 CALCULATIONS Calculations for Method A and Method B costs are presented as worksheets in Table 5 and Table 6, respectively. The tables are spreadsheets, and column headings are identical for both Methods. The first two columns of each table list the category and unit. The categories are not the same for both methods. Costs for property purchase, site designs, roads, septic systems, water connections, electric, gas and stormwater management are calculated for both methods. Method B costs for water, gas, electric and septic system installations include excavation and backfill, whereas excavation and backfill costs needed to be calculated separately for each infrastructure type under Method A. While both Methods account for site design costs, only Method B distinguishes conservation and conventional design costs. Under Method A, only one design cost was provided— specification as to type of design was not provided. 35 TABLE 5 Calculated Costs Per Subdivision - Using MEANS Data .__,, If CHERRY VALLE 'EGORY Per Unit Subdivision Per Unit Subdivision Between ROSE UNITS Cost Amount Total Cost Amount Total 8‘ Platter! Erry Purchase (1) acre $5,600.00 64.86 $356,730 $2,500.00 59 $147,500 "$20602” reenng ___2 __ __ 2 , ,m, ,w. _.. _.---1 .--__.._ .-- opography , 2 _2 222 2 acre 2 $165.00 ,2 2 64.86 --. $10,702 ”5165. 00 22259 ,5 $9,735 -- 22 $967 1rveLlot locations & lines acre $440.00 31.59 $13, 900 $440.00 59 $25,960 -$12,060 Preparation &Eggayafion Support (2), .. _g _ _- -_ -_ __2 , Mw_ - $02 tear 81 1111111 macre_'__ $8,500. 00 ___'_31,‘59: _2 $268, 515 "88‘, 500 "“00 59 8501; 500 -$232, 985 .. rub stump removal acre 84, '87’5. 00 31. 59 2 5154, 0'01 34" 875 .00, , 59 2_ $287 625 -5133, 624 edium Clearing acre $915.00 31. 59 $28, 905 $915 00 59 $53, 985 -$25, 080 1work- Onsrte cut and fill _ _1 2 _ __ _2 .--_. _ $0 xcavation 412;; .. 2cy ,_ 51.15 _____509652»_2, $58, 610 $11.5“..- 85668 n... 898,518 639 908 imp action & Vibrating Plate cy ”$1.34 50965 $68, 293 $1.34 85668 $114,795 ."$46,502 Design- shop drawings/renderings 2 _ 2 _, _ _ 2 .. 2 2, 2 , onventional each . na 20 $0 .. 22$_1.025.00 2 l2 *2 $1,025 _ -$1 .025 . luster each $1,025.00 1 SL025 na 0 $0 $1,025 1513) __ _fi 4__, 2 ....-. - --. ase course & paying(4)_ 22st,, 80. 72 ,5 100800 “'2‘ $72,576 1 _ 50,72“ .-.142200: $102, 384 -$29 808 urbs: concrete 2lf_ $5. 56 __._ 5600 ...... $31,136 “$556 7900 $43, 924__ ....-$.12- 7882 2_ urgs: gutterrriouth Insets 2 each $180 00 6 $1, 080 $180.00 8 $1, 440 -$360 1: ys_t__cms 301: __ .. each, $2, 000. 00 -.----... 22.---- $424,000 _ $2, 000. 00 g H “172““, $34, 000 m $10, 000 caching 1:16-16 61111111661” 2..- 999b,...“ 5845. 00 --..-522'---_..-.- 518399.; 8845. 00 17 814, 365 _fjs4, 2225_ - ,2 16111111611 (62116221111 (lOcy/tank) may, , _ 515. 25 ,, __, “22,022“ 31,155 65:25 ______ 1 ,70 ,_ 43893? , _ $263 2 xcavation 4’ trench for disposal_ field (5) If $2. 27 12760 $28, 965 82,27 9860 $22,382 $6,583 travel fill, run of ba_nk (6) cy $11.85 1100 $13,035 $11.85 850 $10,073 $2, !"963 erConnectron . .. - .. . .. - . , .... a 1 _- xcavation (12’2' _deep 11 4" wide) , 22 1f ,2 $0. 26 , . 5600 $1,456 , 2_2___$20,226 .. ....-.7900 $2,054 , -$2598 ackfin mm... sf so 82 5609 .... $54 592 I--...-...so.._82 7900 ....56478 ,. .-.-$1.886. train Pipe lf $2. 81 “”5600 $15, 736 $2.81 7900 $22,199 -$6.463 mwalerManagement (7) . ,, ,2 2 2, -mm_,,,m,-, _ ,, , --,z..___,_--.-._...-.-._ ,5 .- . -....- lanholes, cleanouts each $2325.00 6 $13,950 $2,325.00 8 $18,600 -$4,650 riggayation (12" deep x4" wide) ___lf “$026 H” 5600“ T ~$1 456 $0. 26 79_O_0 $2,054: $598 tackfill _ _, 2 “W... ,2 . 2, sf -_ $0.82_ _____________ 56002 .--- $4, 592 $0. 82 , _72900,__ g 2_ $6,478 -2$l.886 ias seérvice and distribution If $1.91 5600 $10,696 ”$1.91 7900 $15,089 -$4,393 tric( ) ... . - xcavatiojr (12" deep x 4_" wide) 2 ,12f .- .. $0 26 5600 r$1,456 , “$0. 2622 _ 2279020 $2 054 -$598 ackfill "sf” so. 82 _ ,2 5600....-. 84', 592 so. 822 2, ..7900.. w':$6 478 2 -$1,886 Wuhan If $1.91 5600 516.999 81.91 7900 515.089 -$4.393 ~ AL COST $1,240,440 $1,566,677 -$326,237 4 BER OF LOTS 22 17 5 IT PER LOT $56,383.62 $92,157.44 435,774 :s/Assumptions ‘he cost of 6116116111661" 11.661111661111111. The ‘6681’6161/1666'18" 65366611611161 '6696166 111.111.111'wrriraa‘grawfi8.1111111." 111 8.111.111.1118881111 {ed Cedar River are estimated between $5,000 and $6,000 per acre and other parcels are estimated between $2,000 and $3,000 per acre. The age of the estimated prices was take for both properties. Since Steeplechase backs up to the river, the price per acre is $5,500; Cherry Valle is ldjacent to the river, so the price per acre is $2. 500. loth sites were initially vacant, relatively flat, with medium forest coverage before purchased by developers. “ghain County standard for a light residential road (< 25 lots) is: 3" asphalt. 6" gravel, and 8" sand. ...—M mm"-.>- he soils are suitable for the pavement (no mucking necessary; standard road construction standards applied) .. _--.-.. -.--- ---”..H.-. rIlpically, this consists of4 to 5 runs of 75 to 100 feet apiece with 20 feet of piping between (Source: lngham county Drain Commission). this calculation, 5 runs of 100 feet apiece was used with 80 feet of piping between each _run (total: 580 If)w “...—...... my cy 0f gravel per house is typical (Source: 11111611111 County b11111 Commission) "Sham County standard is one inset every 300 feet to 600 feet 500 feet is an acceptable estimate 7 '_ ' I 2 7 Mdoes not have electrical data; cost estimates for gas were applied. cels were deve10ped to the point of sale for develop ment; site improvements after lot sale, such as landscape and sidewalks, were not included 5 “0““ ”P. 35.59.19.991"- C951 Wei“? 195991.11-999.199.1999“.. .. . 36 l L i [7 Calculated Costs Per Subdivision — Using Industry Estimates TABLE 6 STEEPLECHASE (CONS ERVATION) CHERRY VALLE (CONVENTIONAL) Meme, ‘0 RY Per Unit S ubdivision Per Unit S ubdivision Between ROSE UNITS Cost Amount Total Cost Amount Total 8‘ Platter! Fpurchase (1) acre $5,500.00 64.86 $356,730 $2,500.00 59 $147,500 $209,230 E: (topography, staking & platting) 161 $700.00 22 515,400 $700.00 17 $11,900 $3.500" [recur/n11. clear/grub acre 57,500.00 31.59 $236,925 $7,500.00 59 $442,500 3205.575 'Ign-shop drawings/renderings 1111111611111 ” ‘ " ” 161 ‘ 1111"” ‘ 0 50"" 3100.00“ W 17 *Mm‘fifioo" "‘-31',700“ ‘ 161(2) 101 $225.00 "22" ' '1 $4,950'"" ' na ' ’0'” _ “ ’ $0 ‘ ' " 34.950 " L , so so 11111611 cy‘ $2.75 " “ 3,733” $610,266 ””821‘7’5m'" ‘55“,2'677”"“814148'4" """-’s4.2'19""" 's’y’ 33.00 ‘ " 100.800 ’ ”$302400 ' " $3.00m" ""142200'““$426,600“ "43124200“ ,, sy $3.50 ‘ 100,800 $352,800 8350’” “142.200 ” $497,700 ”$144,900 11111 sy 55.50 100.800 ‘ "8554.400" “$5.50 " " "142,200” :57‘82500” " 4227.700 Land Guifer ... ‘ ‘ W” W ' “"“8‘8700‘” ‘“5’,60'0"”'”"'344’.806‘“ $8.00 7,900 “ $63,200 -818J4‘00 NA 50.00 NA so $0.00 NA so so fi it 510.00 5,600 $56,000 510.00 7,900 $79,000 -$23,000 1111 (3) 11 8 17.00 5,600 $95,200 817.00 7,900 $134,300 -$39,100 ater management 98(5) ’11 820.00 5.600 “$112,000 "3’2000 ”7.900“ $158,000 ” ""4s46.000 ” 6111:1115 each $3,300 22 $72,600 $3,300.00 17 $56,100 $16,500 1161 sf 81.00 28,000 $28,000 51.00 39,500 $39,500 -$Il.500 .cosr $2,250,871 $2,865,784 -$6l4,914 EROFLOTS 17 5 91212 LOT $102,312.31 $168,575.54 -$66,263 Issumptions cost of each {Joel 18361166231121? The eBSt'pr'o'videh 16111151111811 61118166181611 1118116111w‘111'116‘13166‘11 16611311111'.""1‘11‘gcacr;1‘.‘6arceis1161;1111 1181* .iver are estimated between $5,000 and $6,000 per acre and other parcels are estimated between $2,000 and $3,000 per acre. The average of the 3d prices was take for both properties. Since Steeplechase backs up to the river, the price per acre is $5,500; Cherry Valle is not adjacent to the vthe price per acre is $2,500. 55111111111: 11111661820016 $250 661161", 11116116,; 499111111. . .2 1 estimate fige: $16 to $78. average applied “C9999 819999499.9999199119491499300499001991:5.0969119 9949999449199999434195.._H.f_.‘j.';_f§ ' testimate range: $18 to $22, average applied The Per Unit Costs column values will differ because of the sources used to obtain the numbers: Method A values were obtained from Means and Method B values were obtained from estimates provided by industry professionals. The Property Purchase per unit cost was the same for both tables because this number was provided by the Williamstown Township Assessor; neither Means nor industry professionals could provided a better estimate for land value. 37 The Subdivision Amount columns are the same for both Tables 5 and 6. The values in these cells were obtained from those provided in Table 2, Subdivision Measurements. The values were calculated using the site plans as submitted by the developer to Williamstown Township. The values under the Total columns are result of the Per Unit Cost multiplied by the Subdivision Amount. Specific assumptions and details of calculations are also provided for each table. The final column, labeled Difference between subs provides the difference between Total values. For example, the estimated cost of the Steeplechase subdivision was $356,730 and of the Cherry Valle subdivision, $147,500. The difference being $209,230. 7.1 Limitations and Exceptions of Methodologies There are limitations and exceptions associated with both methodologies. The nature of limitations associated with Method A is that the development cost was not listed in the costing source, RS. Means Company, Inc. 1999. Means Residential Cost Data (Means), and was therefore omitted from the study. The limitation associated with Method B is that these estimates were taken from industry professionals for hypothetical developments and estimates are only as good as the sources providing them. While recognizing these limitations is important, they do not compromise the integrity of the study. 0 Method A does not include government review or administrative costs to the developer. The reason for the elimination of the category is that Means does not include such costs. Although studies indicate that more time--in terms of meeting with local government officials-—is required for conservation design subdivisions than conventional subdivisions, the conclusion has also been drawn that the difference in costs is minimized when the municipality has stream lined the site plan review process. Stream lining is evidenced through the municipality’s incorporation of conservation design review into its subdivision regulations and zoning ordinances (Arendt 1996, 114) (Armstrong 1992, 12). Although the additional time required of conservation designs seems a logical assumption, Williamstown Township has stream lined the process by providing an avenue for review in its subdivision regulations and zoning ordinance, such that this discrepancy should be minimal. 38 Method A does not differentiate the cost of preparing a conservation design and conventional design; the design cost for a conservation design is the same as the design cost for a conventional design. The reason for treating the costs alike is that Means does not provide costs for different types of development. The Williamstown Township subdivision ordinance can require both a conservation design and a conventional design for every subdivision development regardless of the developer’s intent, the two design costs—each of $1025.00—was applied to both situations. Method A applies the same cost data for electrical utility installation as for gas utility installation. The reason for treating the two utilities alike is that Means does not list development information for electrical utilities. Under the guidance of a Michigan State University Professor in the Building Construction Department, adopting the gas installation costs for electric installation costs is acceptable. Although the study strived for accuracy of cost estimates, the theory is that the actual cost is not as important as ensuring that the same cost-whatever it may be—is applied appropriately for each subdivision. That is to say that the cost difference between developments is demonstrated not by the cost of grading/cubic foot per se, but by the amount of grading/cubic feet required by each development. Finally, there may be errors associated with the numbers shown in the Tables 5 and 6. These sums result from an exercise to determine cost differences. The substantial differences between the two methodologies does not mean that one is more correct than the other in terms of estimating costs. The reader should be careful to distinguish between the costing details (i.e. the cost of pavement per linear foot) and the general concept that more pavement is needed for conventional designs. 8.0 RESULTS The hypothesis of this study is that development costs for Cherry Valle, a conventional, platted subdivision, were higher than the development costs of Steeplechase, a cluster subdivision. The rationale for the hypothesis is that conventional subdivisions require more linear feet of utilities and square feet of paving, which translates into more expense. However, previous studies have indicated that up-front costs, also referred to as soft-costs (i.e. engineering and administrative costs) are higher for conservation design and therefore serve as a deterrent for developers to opt for 39 implementing cluster. This section first reviews the costs of each development and then compares the soft costs to see if they are as much as a deterrent as purported in the literature. 8.1 Total Costs Reviewed The total cost of developing the subdivisions as calculated under Method A (using Means data) and Method B (using estimates from industry professionals) is summarized in Table 7, below: TABLE 7 Summary of Calculation Costs Total Cost Cost Per Lot Method A Conventional $1,566,677 $92,157 Method A Conservation $1,240,440 $56,383 Difference $326,237 $35,774 % Difference 20% 40% Method B Conventional $2,826,284 $166,252 Method B Conservation $2,222,871 $101,039 Difference $603,413 $65,213 % Difference 21 % 40% The above table shows that the conventional designs cost more than conservation designs Based on the figures presented, both methods indicate that development costs of conventional developments are approximately 40% more than development costs of conservation designs. The above results suggests two questions: are these numbers realistic and are these numbers significant enough to sway developers? To answer the first question, return to Sections 4.2 and 4.3 to review what other studies found. The N AHB study (Section 4.2) found that conventional subdivision development costs were $4,344 more per dwelling unit than for the cluster subdivision. Melissa Armstrong’s study (Section 4.3) found that conventional subdivisions were $2,975 more per lot (Analysis 1) or between $4,065 and $12,920 per lot (Analysis 2). The numbers calculated in this study are three to nearly thirty-three times greater than industry estimates. There may be several reasons that may account for the differences, the greatest factor being the number of lots that each 40 subdivision was being split into. For example, the NAHB study was concerned with 472 units on a 165-acre parcel. The total cost for conventional subdivision development was over six million dollars and nearly four million for the conservation development. More importantly, the percent difference between the two developments was approximately 34%. With regard to the Armstrong study, Analysis 1 considered a 60.6-acre parcel, very similar to Steeplechase (64.86 acres) and Cherry Valle (59 acres). However, the Armstrong study divided the parcel into forty lots, where Steeplechase and Cherry Valle divided the parcel into nearly half that amount. The percent difference between developments in Analysis 1 of Armstrong’s study was 24%. Armstrong did not provide total costs or total number of lots with the Analysis 2; costs were only provided on a per-lot basis. The percent difference between development costs ranged from 20% to 44%. Another important factor that explains the differences in results is that the NHAB study is fourteen years old and the Armstrong study over 8 years old. Inflation rates and the costs of materials and labor may have increased substantially since the time of these previous studies. Additionally, the engineers and consultants responsible for computing the figures in the NAHB and Armstrong studies may have lumped sums or made other assumptions--since the exact methodologies for identifying costs was not provided, such differences may only be speculated. It may be concluded that even though the values for the development costs calculated herein are considerably higher than those found in other studies, the results are consistent with the theory that development costs for conventional designs are more than the development costs for conservation designs. Given the percent difference of costs between subdivision types, it appears that although the estimates of this study may be high, the percent savings to developers falls within that determined by other studies. 41 8.2 Soft Costs versus Hard Costs Reviewed The second question to be answered concerns the argument made that up-front soft costs are higher for conservation designs and therefore are a deterrent to developers. That is to say that even though a developer may understand the cost savings in infrastructure, if conservation designs mean more of the developer’s time spend in meetings and revising site designs, he or she is less likely to opt for these additional headaches. Potential increases in lot value at the time of sales due to proximity to open space are even more distant and therefore less like to persuade the busy deve10per. To answer this question, the soft costs of developing Steeplechase and Cherry Valle are compared and summariZed in Table 8, below. TABLE 8 Summary of Soft Costs Site Design & Engineering Government Review of Costs Design Costs Method A Conventional $35,695 $1,025 (2) Method A Conservation $24,602 $1,025 (2) Difference $11,093 $0 (2) Method B Conventional $11,900 $1,700 Method B Conservation $15,400 $4,950 Difference [$3,500] [$3,250] (1) Means does not provide values for government review. (2) Means provides only one site design value. The results presented in Table 8 for Methods A and B conflict. Method A comparison does not support the assertion that up-front soft costs are always less for conventional subdivisions, rather it shows conventional subdivisions cost more in terms of surveying.’ The reason for this is that the acreage to be surveyed was so much greater for Cherry Valle (59 acres) compared to the amount of acreage to be surveyed for Steeplechase (31.59 acres). Steeplechase had less acreage because the 42 homes were clustered on a smaller amount of land. Method A therefore shows cost savings beyond infrastructure for conservation designs. Method B supports the assertion that up-front costs are higher for both engineering and administrative review. Interestingly, the reason for seeing a higher value in the conservation subdivision is that it has more lots than the conventional subdivision and the estimate is based on the amount per lot. For either subdivision, the engineering work is $700 per lot. Therefore if this study compared two hypothetical subdivisions with equal number of lots, there would be no cost savings for either design. The only soft-cost savings that appears to hold true is with the site design. Although this cost is also calculated on a per-lot basis, the conservation design is estimated to cost $125 more per lot than the conventional design. The answer to the question of whether up-front soft costs are greater for conservation designs is that there is only cost savings in design, not engineering work. Depending on how the contractor bills time (either on a per-lot basis or a per-acre basis), the engineering work could add or subtract costs from either type of subdivision. 9.0 DISCUSSION & IMPLICATIONS The results of the study indicate that the development costs for conservation subdivisions are indeed less than the development costs for conventional subdivisions. This finding is not revolutionary. However, it is one more piece of evidence to assist developers interested in subdivision construction in Williamstown Township, Michigan. Although the final goal of cluster developments is not to save or make developers money, developers tend to be the final decision makers and money is often the greatest appeal that residents and Township officials can offer. (Note: 43 other financial incentives, such as density bonuses or allowing cheaper/sub-standard roads, are not considered in this analysis. Encouraging developers to build cluster is not enough; communities must have regulations in-place so that cluster developments are allowed. Best practice suggests that communities plan for cluster design, first by making necessary recommendations in the Master Plan and subsequently revising the zoning and subdivision codes. Communities that do not undertake a systematic effort are probably setting themselves up for an unsuccessful program. Communities that are prepared to implement a cluster program should also consider the impact of cluster developments on affordable housing. As previously discussed, cluster developments can have the effect of increasing home values to the extent that housing is no longer considered affordable (see Section 3.3). Communities must realize this and plan accordingly. Otherwise cluster developments—which do promote economic, environmental, health and quality of life causes--will again take on a negative connotation: exclusionary. Solutions include ensuring that affordable housing is provided and maintained in other areas of the community, adopt an inclusionary housing provision or, through a land trust, purchase and/or provide subsidies for affordable housing within cluster developments. The implications of what a cluster development can do for a community are numerous, and to this end Williamstown Township’s Rural and Open Space Environment (ROSE) program is a very good example. For one, the cluster program forces a community to practice long-range planning. By creating areas for cluster, a community must methodically determine where it should grow, how it should grow and what resources must be preserved to maintain the community’s character in the face of growth. Through the master planning process, Williamstown Township identified its desire to 44 protect its rural and open space character as residential subdivisions are built. Through an overlay zone, the Township made the process possible. The Township also made provision for its fair share of affordable housing (site study). To maximize the benefit of its cluster program, Williamstown Township may consider designing a greenway belt or an openspace network. The resources being preserved—forested land, wetlands, open space, agricultural lands—would then be linked, avoiding scattered patches of preserved land throughout the township (Arendt 1994, 265). Another implication of cluster development is on affordable housing. As discussed in Section 3.3, cluster developments can raise property values and drive affordable housing out of the area—they can be exclusionary. However, the National Association of Home Builders (NAHB) as well as leading proponents of cluster design have produced materials on using cluster to build affordable housing (NHAB 1986) (Arendt 1996). Less development costs means less costs passed onto the homeowner. The lesson learned from Radbum, New Jersey is that since much care goes into designing affordable housing cluster developments, the homes may quickly be purchased by upper-incomes that also appreciate the energy-saving placement of the homes, the walkability of the area and proximity to open space. 10.0 CONCLUSION Cluster developments should be seen as one part of a larger planning movement, the fight against sprawl. Large lots and platted subdivision are connected to environmental degregation, high utility costs and social displacement. Moreover, as people sprawl to the far corners of the community in search of space, the lower-income community members are left in the older areas of town—the areas that not only pay for services to the suburbs but will also be immediately affected by the old infrastructure that will soon be in need of repair. 45 Cluster designs offer an alternative to sprawl. Condensing homes and allowing the remaining land to be preserved as open space reduced the need for people to move further out for that same open space environment. The added benefits are that people do not have to be inconvenienced with long commuting times from the suburbs to town centers and municipalities do not have to be overtaxed with long extensions of infrastructure. Cluster developments promote sustainable development principles of reducing environmental degradation, improving the economic status of a community and promoting social interaction (through closer homes and sharing of open spaces). Affordable housing opportunities are also available through cluster developments. There are many tangible and intangible cost savings associated with cluster design, and most often selling this program to residents, business owners and public officials is not difficult. However, most often it is the developer who makes the final decision—to build or not to build. The most effective way to sell cluster designs to this audience is to demonstrate the cost savings and that is the purpose of this study. By demonstrating the substantial cost savings to developers, hopefully a Township concerned about maintaining its identity and quality of life can achieve exactly that. 46 1 1.0 REFERENCES Ambrose, John E, 1995. Cost effective groundwater protection through hazardous substance overlay zone ordinances. APA Planning Michigan 8(1): 1-5. Arendt, Randall, 1996. Conservation Design for Subdivisions. Island Press: Washington DC. , 1997. Basing cluster techniques on development densities appropriate to the area. Journal of the American Planning Association. Winter 63(1): 137-144. , 1998. Connecting the dots. Planning. 64(8): 20-23. Armstrong, Melissa. 1992. Cost Comparison of Private Development Costs. Planning and Zoning News. May: 7-13. Brueckner, J .K., 1990. Growth controls and land values in an open city. Land Economics 66: 237- 248. Chown, Glen A., 1991. “Protecting natural land and community character with conservation easements.” Planning and Zoning News. May: 6-13. Daniels, Thomas. 1997. Where does cluster zoning fit in farmland protection. Journal of the American Planning Association. Winter 63(1): 129-137. Frank, James E., 1989. The costs of alternative development pattems: A review of the literature. Washington, DC: The Urban Land Institute. Gauch, Richard, Jay Feldman, Bryan Patchman, Joe Svatos and David Garfinkel. 1978. “Cluster.” Builder Magazine. Eighteenth Annual Land Use Report sponsored by the National Association of Home Builders. August 7. Gerckens, Laurence C. 1998. Urban Planning 801 Course Pack. Hilliard, Ohio: On-Call Faculty, Inc. Gottdiener, Mark, 1997. Planned sprawl: private and public interests in Suburbia. Beverly Hills, California: Sage Publications. Iguchi, Pamela, 1992. Economic benefits of open space. Trust for Public Land, March. Knack, Ruth Eckdish. 1990. Selling cluster. Planning. September: 4-10. 41991. The one-acre habit is hard to break. Planning August: 8-11. 47 Lacy, Jeff. 1990 An examination of market appreciation for clustered housing with permanent open space. Amherst, MA: Center for Rural Massachusetts, University of Massachusetts Department of Landscape Architecture and Regional Planning. Lerner, Steve and William Poole. 1999. Economic benefits of parks and open space: How land conservation helps communities grow smart and protect the bottom line. The Public Trust for Land: San Francisco California. Maryland. 1994. Managing Maryland '3 growth: Clustering for resource protection. Maryland: Maryland Office of Planning. RS. Means Company, Inc. Means Residential Cost Data. 1999. Peiser, Richard B. 1984. “Does it pay to plan suburban growth?” American Planning Association Journal (Autumn): 419-433. Porter, Douglas R. Managing Growth in America ’s Communities. Washington DC: Island Press. 1997. Real Estate Research Corporation (RERC), 1971. The cost of sprawl. Prepared for the Council of Environmental Quality; the Office of Policy and Development and Research, Department of Housing and Urban Development; the Office of Planning and Management, Environmental Protection Agency. Washington, DC: US. GPO. Tibbets, John, 1998. Open space conservation: investing in your community. Cambridge, Massachusetts: Lincoln Institute of Land Policy. 1998. Thompson, J. William, 1997. New ruralist. Landscape Architecture. Spring 15(1): 68-69. Urban Land Institute (ULI), 1978. Residential Development Handbook. ULI: Washington, DC. Williamstown Township, 1992. Master Plan. Prepared by McKenna Associates, Inc. Farmington Hills, Michigan. September 15. J 1997a. Zoning Ordinance. Prepared by McKenna Associates, Inc. Farmington Hills, Michigan. July 2. , Subdivision Ordinance. Prepared by McKenna Associates, Inc. Farmington Hills, Michigan. January 7. Washington State, 1984. Affordable Housing-Local Government Regulatory and Administrative Techniques. Washington State Planning and Community Affairs Agency. Olympia, WA. 48 HlATEGNSTA llllllllll lllll llllllllllllllllllllllllllllllllllllll 31293 02637 8228