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Thomas MS U is an Afl'mnan've Action/Equal Opportunity Institution 0-12771 LEHRARYfi’ ”‘éemaan State University among FINE§: . I mam-duper“. nmmus mam “MATERIALS: f Place in bookn move ' chum fron circulation records ‘- , nM-\\\\ L ‘\-‘1’: ~31I‘III” p” “0:34” STATE UNIVERSITY RURAL MIGRANTS IN TAIF: THEIR MIGRATION AND RESIDENTIAL MOBILITY by Khudhran Khadhir M. Al-Thubaity A DISSERTAION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Geography l98l (L -QLJ‘Z’MMH In the name of Allah, the most gracious, the dispenser of grace. Praise be to Allah, and Peace be upon His Prophet Mohammad - ABSTRACT RURAL MIGRANTS IN TAIF: THEIR MIGRATION AND RESIDENTIAL MOBILITY by Khudhran Khadhir M. Al-Thubaity This study is concerned with a specific group of migrants, namely rural migrants, in Taif, Saudi Arabia. The overriding purposes of this research are to examine the process and motives of rural migra- tion and to analyze the rural migrants' residential mobility within the city. The data for this research are based on information gathered in the field during the summer of 1980 and from 572 randomly-selected households of which 53 percent are rural migrants. In analyzing the data, four statistical techniques were employed: the chi-square test of association, factor analysis, multiple discriminant analysis and regression analysis. The major findings are: l) rural migration to Taif is increas- ing every year at a steady rate, 2) the major rural migration fields for Taif are located to the south of the city within the mountainous range of the Southwestern Region, 3) rural migration to Taif is a direct one, and is a complete family migration, 4) the majority of the rural migrants are at least 25 years of age and unskilled, 5) Khudhran Khadhir M. Al-Thubaity the major causes of migration are family attraction, family size. climatic conditions, family problems, urban attraction and employ- ment factors, 6) migrants are concentrated in ruralized quarters due to their low economic status and strong kinship ties, 7) a positive correlation is found between the urban experience and the rate of change in residence, 8) the relationship between the rate of change in residence and socioeconomic, locational and housing variables is very weak, 9) the majority of rural migrants have made intercommunity rather than intracommunity moves, and l0) three major factors account for these moves: social ties, homeownership, and dwelling size. ' This continuous increase in rural migration volume will even- tually result in a decrease in rural population, as well as a vast increase in the city's population. This is an alarming indicator of rural neglect and deterioration and tremendous pressure on Taif in terms of increased demand for community services. Further research should be directed to an examination of the spatial and social assimi- lation of the rural migrants within Taif. Rural areas should be examined in an attempt to identify prospective migrants and their planned destinations. ©Copyright by Khudhran Khadhir M. Al-Thubaity l98l ii ACKNOWLEDGEMENTS I would like to thank all individuals and institutes that in one way or another contributed to the completion of my study and this research. It is difficult to account in words for all the assistance I have received. I would like to extend sincere appreciation to the members of my guidance committee. This research problem and the writ- ing of this dissertation was carried out under the direction of Dr. Stanley D. Brunn, formerly professor of Geography at Michigan State University and presently Chairperson of the Department of Geography at the University of Kentucky. For his scholarly assistance. construc- tive criticism, beneficial suggestions and his personal friendship, I am extremely grateful. Dr. Robert N. Thomas was extremely helpful in developing my understanding of population geography, as well as serving as my academic advisor in my graduate program. Dr. Ian Matley very graciously offered suggestions and advice, for which I am very grateful. Particular mention should be made of Dr. Assefa Mehretu, whose consid- eration and willingness to become a member of my committee at a crucial point in the program is greatly appreciated. Thanks are also extended to Dr. Allen Beegle of the Department of Sociology for his time, sug— gestions and interest in my research. iii Particular thanks must also go to Umm Alqura University which provided me with a generous scholarship and financed my doctoral pro- gram and this dissertation. I am indebted to Dr. Mahmood Asadullah and Dr. Hassan Elam of the Geography Department, and Dr. Mansor Abulaban, Dean of the College of Education, Umm Alqura University, for their support and encouragement. Thanks are also in order to the Saudi Arabian Educational Mission to the United States and Canada and its personnel for their very sincere help and cooperation. My thanks are also due to Michigan State University Computer Center for the use of their facilities, and the support of the Geography Department in this regard to Dr. Gary Manson, Chairman of the Geography Department for his consideration. To all my professors at Michigan State University my thanks for their academic instruction, understanding and cooperation. I wish to thank all the people who were interviewed in the field in Taif for their participation without which this research could not have been finished. Special thanks go to all the individuals who assisted me in collecting the data for this dissertation in the field. Particularly, I would like to thank Awadh Al-Towairqi, Saleh Ba Refah, Ibrahim Al-Faqeeh, Sulaiman M. Al-Thubaity, Maqbol S. Al-Jiade, Dhaifallah A. Al-Thubaity, Awadh H. Al-Thubaity, Awadhallah M. Al- Thubaity, Elaiwy K. Al-Qurashi, Abdulmaen M. Al-Thubaity, Saead M. Al-Thubaity, Mohammed M. Aseeri, and Awadhallah S. Al-Thubaity for iv their time, patience and valuable assistance during the process of collecting information data for my dissertation. My thanks and appreciation also are due to all government agencies and institutions in Taif, especially the Emirate of Taif, Police Department, School District, Municipal of Taif, Taif's Electric Company and Taif Planning and Development Department with special thanks to Mr. Ibrahim Jenadi, Abdullah Eid and Mr. James R. Gibson for their support and cooperation. I am most indebted to my father, Khadhir Muslih Al-Thubaity, who has helped me all the way through since my childhood and now, and whose love, patience, support and encouragement cannot be accounted in words nor in long sentences. I thank Allah who has saved him for me until I can go back to him to serve him for the rest of his life and that I may be able to give back to him a little of what he has done for me. I am also indebted to my brother, Muslih K. Al-Thubaity who has supported me during my stay in the United States. To all my entire family, my deepest thanks for their love and support. Special thanks are due to my wife, Awatif Abdullah Arab, for her love, patience and hope. My thanks also go to Mr. Mike Lipsey of the Cartographic Center at Michigan State University for the preparation of the thesis illus- trations and Miss E. Smith for her time in reviewing the thesis. To all my friends at home and those within the United States, especially Mr. Tahir M. Al-Zidey, Abdullah M. Al-Thumaly and my host family V Mr. and Mrs. Clifford Marcy, my sincere thanks and appreciation for they have made my stay away from home very pleasant. Finally, this list of acknowledgments cannot be closed without a very sincere word of appreciation for my friend Barbi Mel, for her assistance and under- standing in typing the different drafts of this manuscript. May Allah give mercy and love to all the people who helped me. vi TABLE OF CONTENTS Page LIST OF TABLES .......................... x LIFT OF FIGURES ......................... xiii Chapter I. INTRODUCTION ....................... 1 Introduction ...................... 1 Scope and Purpose of the Study ............. 10 The Scope of Study Within Geography ........... 12 Organization of the Study ................ 14 II. REVIEW OF LITERATURE ................... 16 Introduction ...................... 16 Types of Migration Theories ............... 18 The Spatial Patterns of Migration Streams ....... 19 The Socioeconomic Characteristics of Migrants or "Migration Selectivity." ........ 22 Causes of Migration .................. 26 Rural-Urban Migration .................. 28 Residential Mobility .................. 36 Summary ......................... 42 III. THE SPATIAL STRUCTURE OF TAIF ............... 44 Introduction ...................... 44 The Pilot Study ..................... 46 Spatial Expansion and Development of Taif ........ 48 Spatial Arrangement and Structure of Taif ........ 50 Taif as a Unit ..................... 76 Population Growth and Distribution in Taif ....... 88 Swmmy.. ... ... ... ... ... ... ... .. 99 vii TABLE OF CONTENTS (Cont'd.) Chapter Page IV. RESEARCH HYPOTHESES AND SAMPLING PROCEDURE ....... 102 The Research Problem and Literature ......... 102 The Research Hypotheses ............. . . 104 Data Collection and Sample Design .......... 106 Methods of Analysis ................. 116 V. THE PROCESS OF RURAL MIGRATION TO TAIF ......... 120 Introduction ..................... 120 Classification of Responses . . . . . . . . . . . . . 120‘ Types of Migrants in Taif .............. 126 Origins of the Rural Migrants ............ 130 Rural Migration Flows ................ 136 Types of Rural Migration ............... 139 Selectivity Among Rural Migrants ........... 141 Type of Initial Migration .............. 154 Factors for Rural Migration ............ . 157 Origin--Destination Relationship ....... . . . . 164 Summary ....................... 171 VI. RESIDENTIAL MOBILITY OF THE RURAL MIGRANTS ....... 174 Introduction ..................... 174 Residential Location of Rural Migrants ..... . . . 176 Initial and Current Distribution. . ....... 176 Social and Personal Factors ..... . ..... 180 Economic Factors ................. 186 Rate and Frequency of Rsidential Mobility ...... 194 Factors Behind Residential Mobility ........ . 204 Patterns of Residential Mobility ........... 214 Future Residential Mobility ..... . ....... 224 Summary ....................... 233 VII. CONCLUSIONS AND RECOMMENDATIONS ............ 236 Summary of Findings ................. 236 Applications of This Study. . . . . . . . ...... 250 viii TABLE OF CONTENTS (cont'd.) Chapter Page CITED LITERATURE ...................... 254 APPENDICES ......................... 268 ix LIST OF TABLES Table Page 1. URBAN CENTERS FOR MORE THAN 30,000 POPULATION ..... 4 2. THE ANNUAL URBAN GROWTH RATES FOR SOME MAJOR URBAN CENTERS, SAUDI ARABIA. . . . . . . . . ....... 5 3. POPULATION OF SOME ARAB COUNTRIES, 1950-1970 ...... 7 4. ANNUAL URBAN GROWTH RATES FOR SELECTED ARAB COUNTRIES 1950/60 and 1960/70 ................. 8 5. PERCENTAGES OF URBAN POPULATION IN WORLD REGIONS FOR 1970 and 1979 .................. 3O 6. DISTRIBUTION OF HOUSING UNITS BY DWELLING TYPE BY ZONES 64 7. POPULATION OF TAIF'S REGION .............. 80 8. MAIN AGRICULTURAL DISTRICTS OF TAIF .......... 81 9. POPULATION GROWTH OF TAIF ............... 87 10. POPULATION DISTRICUTION BY ZONE ............ 89 11. POPULATION DISTRIBUTION BY DWELLING TYPES ....... 91 12. AGE AND SEX DISTRIBUTION IN TAIF AND VICINITY ..... 93 13. DISTRIBUTION OF HOUSEHOLDS BY HOUSING TYPES ...... 108 14. SAMPLE SIZE AND DISTRIBUTION (BY HOUSEHOLD) FOR THE SELECTED QUARTERS (BY HOUSING TYPES) . . . . . . . . 109 15. CLASSIFICATION OF INTERVIEWS BY TYPES OF RESPONSES BY SAMPLED QUARTERS. . . . . ............ 121 16. CLASSIFICATION OF RESPONDENTS BY HOUSING TYPES. . . . . 124 X LIST OF TABLES (cont'd.) Table 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. DISTRIBUTION OF RESPONDENTS BY TYPES OF ORIGINS BY SAMPLED QUARTERS. . .............. DISTRIBUTION OF RESPONDENTS BY TYPES OF ORIGINS BY HOUSING TYPES . . . . . . . . . ........ CLASSIFICATION OF RURAL MIGRANTS BY PLACE OF ORIGIN . POPULATION DISTRIBUTION WITHIN THE SOUTHWESTERN REGION ...................... TYPES OF RURAL MIGRATION TO TAIF ........... AGE STRUCTURE OF RURAL MIGRANTS ........... THE EDUCATIONAL LEVEL OF RURAL MIGRANTS ....... LEVEL OF EDUCATION BY AGE .............. THE OCCUPATIONAL LEVEL OF MIGRANTS BY REGIONS . . . . RELATIONSHIP BETWEEN AGE OF MIGRANTS AND TYPE OF WORK RELATIONSHIP BETWEEN TYPE OF WORK AND LEVEL OF EDUCATION OF MIGRANTS ............. . . TYPE OF INITIAL MIGRATION .............. SELECTED RESULTS OF FACTOR ANALYSIS ......... VARIANCE ACCOUNTED FOR BY SELECTED FACTORS ...... VARIABLES WITH> .40 COMMONALITY. . . . . . . . . . . DISTRIBUTION OF RURAL MIGRANTS UPON ARRIVING. . . . . FREQUENCY OF VILLAGE CONTACT. . . . ......... SOURCE OF INFORMATION USED BY STUDIED RURAL MIGRANTS TO LIVE AT THEIR PRESENT LOCATIONS. . ...... xi Page 127 129 133 138 140 143 147 149 150 152 153 155 158 162 163 165 170 182 LIST OF TABLES (cont'd.) Table 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. Page PRESENT DISTRIBUTION OF RURAL MIGRANTS BY REGIONAL ORIGINS BY QUARTERS ................ 183 RESIDENTIAL LOCATION OF THE RURAL MIGRANTS BY SUB-SAMPLES BY REGIONAL ORIGINS .......... 185 MONTHLY INCOME 0F HEAD OF HOUSEHOLD BY QUARTERS FOR ALL RESPONDENTS ................ 188 MONTHLY INCOME OF HEAD OF HOUSEHOLD FOR STUDIED RURAL MIGRANTS BY QUARTERS . . . ......... 189 MONTHLY INCOME 0F HEAD OF HOUSEHOLD BY REGIONAL ORIGINS ................ . ..... 191 RESIDENTIAL LOCATION AND OCCUPATION OF THE HEADS 0F STUDIED RURAL HOUSEHOLDS ............ 192 CLASSIFICATION OF RESULTS OF DISCRIMINANT ANALYSIS. . 205 SELECTED STATISTICS FROM REGRESSION ANALYSIS ..... 208 RELATIONSHIP BETWEEN DWELLING SIZE AND RATE OF MOBILITY FOR MOVERS AMONG RURAL MIGRANTS . . . . . 213 RELATIONSHIP BETWEEN REASONS FOR LEAVING ORIGIN AND REASONS FOR CHOOSING DESTINATIONS ..... . . 215 INTRA-URBAN MOBILITY FOR MOVERS AMONG RURAL MIGRANTS. 219 FUTURE MOBILITY BY REGIONAL ORIGINS ......... 228 FUTURE DESTINATIONS .......... . . . . . . . 230 REASONS FOR FUTURE MOBILITY ........ . . . . . 232 xii LIST OF FIGURES Figure Page 1. P0pulation Settlement of Saudi Arabia ......... 2 2. Administrative Divisions of Saudi Arabia . . . . . . . 3 3. Taif Physical Features ............. . . . 45 4. The Expansion of Taif ....... . ......... 51 5. Taif's Residential Quarters .............. 54 6. Taif: The Walled City . . . . . . . . ........ 55 7. Housing Types in Taif ................. 60 8. Existing Socio-Economic Survey Zones ......... 63 9. Possible Size and Location of Houses Within Blocks . . 67 10. Land Value in Taif, 1970 and 1978. .......... 68 11. Taif Street Pattern and Layout . . . . . . . . . . . . 70 12. Taif Major Roads .............. . . . . . 71 13. Existing Land Use in Taif ............... 75 14. Taif Hinterland in 1900 ................ 78 15. The Region of Taif ................ . . 79 16. Southwestern Region of Saudi Arabia. . . . . ..... 83 17- Maximum, Average, and Minimum Temperatures in Taif by Month ...... . . . , . , , . , , , , . . . . 84 xiii LIST OF FIGURES (cont'd.) Figure 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. Page Regional Context ................... -85 Age Structure in Percent of Total Population ..... 94 Taif Metropolitan Area ................ 95 Increase of Taif City Permanent Population, 1975-1955. 97 Migrants' Distribution in Taif, Saudi Arabia ..... 98 Sample Survey Locations in Taif ............ 112 Sample Size by Quarter ................ 113 Possible Locations of Mosques Within Blocks ...... 114 Rural Migration Streams to Taif ............ 132 Rural Migrants by Age Groups ............. 144 Distribution of Age Groups by Region ......... 146 Rural Migration to Taif between 1958 and 1978. . . . . 168 Percent of Respondents by Quarter .......... . 179 Rate of Change in Residence by Rural Migrants. . . . . 196 Rate of Change in Residence by Regions ........ 198 Rate of Change in Residence and Time Spent in Taif . . 200 Change in Residence by Rural Migrants ......... 202 Residential Mobility for Movers among Rural Migrants in Taif .............. . . . . ..... 203 A Scatter Plot of Cases by Regional Origins. . . . . . 207 xiv LIST OF FIGURES (cont'd. Figure Page 37. Rate of Change in Residence by Age Group ....... 210 38. Patterns of Residential Mobility for Movers Among Rural Migrants ........... . . . . . 220 XV CHAPTER I INTRODUCTION Introduction Saudi Arabia is a vast country of about seven million inhabitants. The distribution of that population is uneven. The major urban centers are few and clustered in specific regions (Figures 1 and 2). Based on figures from the national 1974 p0pu- lation census, there are sixteen major cities in the country of more than thirty thousand inhabitants (Table 1)- Due to lack of accurate records, the history of the country's population growth is unknown. Any attempt to estimate population change and growth would be difficult and unreliable. However, during the last few decades the country has witnessed rapid expansion. It is postulated that such expansion is due to economic development which began in the 19405 with the exportation of oil. 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NAM»... ..k . Q~V<¢ 8D A V WW»? :3 fl . tie O I 7 339.4.“ 7 56 New traditional housingytype: This type of house emerged when the city's wall was removed opening up the surrounding suburbs for development. This took place from about the late 19205 until the 19505. It should be emphasized, however, that not many peeple had moved out during the above period of time, because of security measures, the fact that pe0p1e were attached to their jobs within the old part of the city, and because of the lack of modern transportation. It is assumed that for those peOple who did move, they selected the locations nearest to the old city. The removal of the wall in the 19205 marked a new era in the history of Taif. New residents came in and a new housing type was developed. The main characteristics of this new type are that most were built from mud bricks and comprised one or two stories. Unlike the old traditional housing type, the new houses, although attached, occupied specific and defined lots, were more outward oriented, and had more than one exposure to the street. The external appearance of the houses was different as well in that they were covered with a white layer of lime. These new traditional houses are found in quarters close to the old part of the city. These quarters are Yamaniah, Salamah, Azeeziah, Shobrah, and Sharqiah, especially its southern portion, known as Bukhariah. 57 In terms of occupations, the quarters of Yamaniah, Bukhariah and Sharqiah were inhabited by migrants from Yemen, Turkistan, and the central part of Saudi Arabia, respectively. The presence of these different groups in Taif at this stage of develOpment has created some new social and occupational stereotypes. Mi- grants from Yemen provided very cheap unskilled labor, while migrants from Turkistan were mainly bakers, tailors and cobblers. Native migrants from the central part of the country were mainly merchants and government employees. Ruralized housing type: With the increase in oil production, more money was poured into the cities with the result that the rate of urbanization accelerated. Also,the availability of capital and the increasing attention from government authoriza- tion in social as well as municipal projects created more em- ployment opportunities. The rural population was attracted by the city's modern amenities and jobs. The process of rural migration is estimated to have begun during the 19505. This period of time was distinguished by two major characteristics: the availability of new construction materials and the develop- ment of new modes of transportation. The rural migrants settled in areas such as Sharqiah, Yamaniah, Azeeziah, and 58 Shobrah. During the last few decades, the volume of rural migra- tion has drastically increased. To accommodate these masses of migrants, more lots had to be develOped, thereby creating the new neighborhoods of Shuhada Shamaliah, Shuhada Janubiah, Qumriah, and Sharqraq. Houses in these ruralized areas of Taif were built from mud and cement bricks. Unlike the new traditional housing types, these houses were built on small lots. 0n the average, each house includes three rooms. Most houses are one-story dwellings. As observed by Malik in Riyadh and Abu-lughod in Cairo, the physical appearance of these new neighborhoods resembles village life (Malik, 1973; and Abu-lughod, 1969). Modern housing type: There has been considerable progress in the physical develOpment of Taif since the 19605. New streets have opened up, others have been paved and lighted. Additional new neighborhoods have been created, primarily for a new local social stereotype and not the typical rural migrant. Due to changes in the social and economic aspects of the population, some wealthy, literate, and educated groups have become prominent in the community. In addition, Taif is a popular summer resort for people from Mecca, Jeddah, Medina, Riyadh, and other parts of the country, not to mention the 59 transfer of government offices to Taif during the summer season. In contrast to the previous housing types, modern resiv dential quarters have been developed for the affluent people. Houses built in these new residential areas are made of rein- forced concrete. They occupy rather large 1ots, are less attached, and are one or two stories high. These villas, as they are called by the local people, are surrounded by walled gardens. Streets are paved and lighted. Quarters with this type of housing number few. They include Khaldiah, Faisaliah, Oadah and Shihar. The families inhabiting these quarters usually have fewer members than the other housing types. The housing type regions described above are similar to those suggested by Malik in Riyadh or Abu-Lughod in Cairo. Malik grouped the different districts, ruralized districts, traditional urbanite districts, and modernized districts (Malik, 1973). Similarly, Abu-Lughod divided Cairo into four sub-cities: rural, chiefly traditional urban, mixed tradi- tional and modern, and chiefly modern (Abu-Lughod, 1969). Based on the field survey in Taif and previous analysis of housing types, the present residential quarters of Taif can be classified into five major housing types (Figure 7 and 60 Mixed Ruralized-Modern Housing Types Source: FIGURE 7 Modern Housing Types - Traditional Housing Types Housing Types Ruralized Housing Types . _ Mixed Ruralized-Traditional Housing Types 1" T8” Field Survey by Author, 1980. 61 Table 13, Chapter IV)- It should be noted here that this analy- sis defining neighborhoods based on housing types does not claim to be complete or comprehensive. Rather the classifica- tion represents an attempt to provide a general overview of Taif's develOpment; its main disadvantage lies in the over- lapping between new and old residential areas where a dividing line is often difficult to draw. It has been observed from field survey and from interviews with local officials that some of the houses described above will soon disappear from the scene. There is a growing demand for modern houses, due to changes in the social and economic aspects of the society. New living quarters are being built every day; these new structures are primarily apartment build- ings. This trend in housing types is a form of evolution. People are no longer using mud or stone bricks but rather re- inforced concrete; most are more than one story and contain from three to five apartments. Small shops are usually built on the first floor. The outer walls are usually painted with somecolored covering layer in an unstandard fashion. Limestone is used for decorating the lower part of the front walls. There are several factors behind this recent trend in modern housing type. They are: 1) the availability of modern construc- tion material, 2) the availability of inexpensive labor, 3) 62 the growing demand for housing, 4) the continuing tradition of the extended family, and 5) the interest-free loans pro- vided by the government to finance the building of new dwell- ings or the rennovation of old houses. This modern housing type which emerged during the 19605, was well developed by 1980. It was accelerated by the govern- ment loan programs. Modern housing has become a feature in every single quarter in Taif. Based on their socioeconomic survey, Speerplan and Koshak (1978) divided Taif into nine zones (Figure 8). Housing units were counted in each zone based upon their structure. The results of their survey are summarized in Table 5. Apartment dwellings are more numerous than any other type in almost all of the nine zones, except for Zone One were the traditional housing type is most common (more than 47 percent) and Zone Eight where the modern DOUSIOQ type is dominant (also more than 47 percent). Another important conclusion from the Speerplan-Koshak study is that when combin- ing all housing units, about 71 percent of all housing units in Taif are classified as apartment dwellings. This last conclusion should not be confused with the above analysis of modern and ruralized housing types. The main reason is that the purpose of classification of housing units in the FIGURE 8 Existing Socio-Economic Survey Zones Speerplan and Koshak, 1978. Source 64 .chuzo on“ Na toga—au—co monogamocma. .NNmN .xmzmox can cmNQLmoam sec» vm_.a509 "oucaom No. om.o— No.N pm.N_ Nm.oe wm.m om.¢ eN.w .N. N ooNNm mN m—ov omo— Nome NmmmN NNNN omwp .mmN NoN 4 a nmc< N nmg< x “=2 mchN 5:25.52 :2. as 5.8.; mNZCN >m ma>h-uz_44mzo >m mpaz: wz~maoz No zo_N=m_mNm~o .e m4m 9.5 3835 8m 9 ‘2 whmw 2.2 ...-.38. 9| 5.8.3 “858 muio— mm 918 i 818 I 80109 I coed I 23.: c. .222 22.3 .2. 33> 2.3 whmw new 052. ..._m._. E m2m> 0cm... op Nana“; 69 units has increased from 9,200 in 1971 to 37,000 in 1978. an in- crease of about 31 percent (Speerplan and Koshak, 1978). An interesting aspect of the spatial arrangement of Taif is its street patterns between the old and the new residential quarters. The principal characteristic of traditional Taif is its narrow and wandering streets. Streets within the old sections of the city display a dendritic or rather netting pattern. A few avenues within this old part have been constructed as main axes for modern transportation, for example, A1 Abbas Street and the Municipal Road. In those quarters Yamaniah, Sharqiah, and Salamah developed after the destruction of the wall, the streets, although short and narrow, are no longer winding. In contrast, new residen- tial quarters have almost a rectilinear type of street pattern. Most streets run east-west and are between 6 and 15 meters wide. Major streets, however, run north-south and are between 20 and 35 meters wide. There are some major avenues that radiate from the peripheries of the old city forming the axes of the new residential areas. Major avenues are: Hassan Bin Thalbit or Taif—Hijaz Road, Khalid bin Al-Waleed Street, King Faisal Street, Shihar or Ashafa Road and Hawiah or Matar Road (Figures 11 and 12). Another feature of the spatial arrangement and structure of Taif is the land use pattern. The most striking pattern is the 70 to Riyadh (900 km) to Mecca (86 km) and Jeddah (160 km) 2) a 111—11 to Abha 540 km) 1111111111111 1 1111 1111111111111 1 111111 ..H‘H‘hu. to Ash Shots (25 knn) FIGURE 11 Taif Street Pattern and Layout Source: Taif Planning and Development Department. ‘J ....J to Riyadh (90010") Thakafah Street to Mecca (86 km) e_nd Jeddeh (160 km) AlIaish Street 38 a . Q: to Abha (540 km) 0 500 meters to Ash Shale (25 km) FIGURE 12 Taif Major Roads Source: Taif Planning and Development Department 72 large amount of residential area. More than 70 percent of the urban area is occupied by housing structures. This high percentage can be explained in several ways. There is a lack of open spaces within the city, especially recreational areas. Moreover, most all of the commercial activities are practiced within the residential units. In other words, commercial activities, including shops, are very rarely isolated from residences. With respect to its total spatial structure, Taif is a pre- industrial city. Its old core, although modified over the ages, resembles the traditional symbol of Muslim communities. For this reason, Taif is little different from the pre-industrial city model pr0posed by Sjoberg in 1960. At the core center there are the cen- tral mosque, or Al-Masjid A1 Jamea, and central market or Suq. The court, police department, and other official offices are no longer in the central city. but have moved into the more recently developed areas. The central part of Taif is a mixed area of residential and commercial activities. Those living in the central area tradition- ally preferred to reside close to where they work. The central Suq of Taif is composed of several small markets which reflect different specializations. There is the Suq of meat and vegetables (A1 Man- shiah), the Suq of tanners (Al Dabbagheen) and the Suq of Jewelers or goldsmiths (Al Saghah). These markets are all arranged close to 73 each other. Some new and small westernized shops are also found within the central Suq of Taif. These new shops carry modern products including watches, radios and televisions, electric appliances, modern clothes, shoes, perfumes, and women's cosmetics. In contrast to cities of the western world, models of urban growth including the Burgess concentric zone model (1925), Hoyt's sectoral model (1939), and Harris and Ullman's multiple nuclei model (1945) are not likely to fit the growth and development of the nonWestern city. Two reasons may account for this discrepancy. First is the absence of a zone in transition and second is that high status groups, that is, the elites, are found in the old part of the nonWestern cities as well as in the peripheries. In addition, slums in the nonWestern societies are found in the peripheries and take the form of shanty towns. Middle class groups are not very well identified in the nonWestern cities; the only dominant class groups are those in high and low status categories. Even the process of neighborhood residential succession is indistiguishable in Taif. The growth of Taif's residential areas and commercial busi- nesses have developed in a manner somewhat similar to the sectoral and nuclei models. As discussed earlier, Taif has grown in three major directions: 1) in a southward direction along the Shihar Road where modern quarters of high status such as Shihar and Oadah 74 are developing; 2) in a northward direction along the Hawiah Road, where a mixture of modern and ruralized neighborhoods such as Umkhubz, Faisaliah, Rayan, and Shobran, are side by side; and 3) in an easterly direction. Along two major axes of Hassan Bit Thabit or Taif-Hijaz Road and Khalid bin AlWaleed Street one finds the most rapidly growing sections of the city, that is, the Shuhada Shameliah, Shuhada Janubiah, and Qumriah. The new commercial businesses are found along the major avenues (Figure 13). However, some nucleated clusters can be found in a small agglomeration of shops which form local markets within specific neighborhoods. There are two major focal markets in Taif, along Shuhadacn1laif—Hijaz Road and in the central area of the Shar- qiah quarter. There are other small local markets in Yamaniah, Bukkariah, Qumriah and Shuhada; these markets, which can be considered subcities within Taif, have a spatial organization no different from that described for the old city except that these shops are more modern. Shopping centers in the sense of the Western cities do not exist in Taif. Rather, what is observed is a large number of small shops along the major avenues and intersections, most of which have only 2-3 meters of frontage and are part of the ground floor of apartment buildings. 75 to Riyadh (900 km) Existing Land Use in Taif to Mecca (86 km) FIGURE 13 and Jeddah (160 km) to Abh- (540 km) Residential - Commercial - Gov't. Institutions Industrial Agricultural - Mixed use I: Open spaces Source: Field survey by author. 76 Industrial develOpment within Taif is unfortunately nonexis- tent except for some traditional ones that provide limited products and services. There are several shops that produce electrical ma- chinery, perform automobile repair, and make woodwork products. Automobile repair shops are generally found in Shuhada laong the Taif—Hijaz Road. Taif as a Unit One of the common themes in urban geography is the study of the external relationships between cities. The significance of any urban center lies in part on its impact on the surrounding areas and on other urban centers. The determinants of city influ- ence on other settlements are its size, function, and role. These characteristics are,in turn,affected by the location of the city itself. In the literature of urban studies, terms and concepts such as city hinterland, city region, urban field and urban fringe have been developed. The underlying significance of such terms is the impact cities have in relation to their surrounding areas or to other cities. Taif has grown by virtue of its central location. In the past, the city had functioned as a stronghold or garrison town. However, this function was not the only source that attributed to 77 the city's existence. Taif has always relied to a great extent upon its hinterland. The surrounding areas were primarily agri- cultural lands which provided the city with fruits, vegetables and grains (Figure l4). Historically,Taif functioned as a trade center; the relationship between Taif and its hinterland has been very strong. The city was supplied not only with food but also with migrants. As a result, Taif has grown, unfortunately at the ex- pense of the surrounding agricultural lands. Several villages have been absorbed by the expansion of Taif; villages including Umkhubz, Salamah, Mathnah and Rayan were among its victims. At the present time, the importance of Taif is not merely its function as a trade center for the immediate rural areas but more importantly, its function as an administrative and summer re- sort area. Taif is the administrative center (Emirate of Taif) of a large region (Figure 15) with more than 470,000 inhabitants (Table 7). This region is known as Taif Region. The significance of the Taif region lies within its agricultural potential and human resources. There are about l74,000 dunums of arable land in this region of which 32 percent is found within the city hinterland (Table'8). The region is noted for its fruit, especially for grapes, figs and pomegrantes. Cash crops, such as vegetables and alfalfa, are also raised. 78 FIGURE 14 interland in 1900 ifH Ta ’—' ’ A Settlements D Field boundaries ,/ Trails .1 ‘- ment Department Taif Planning and Develop Source 79 22322 .22 5328.3. ”8.:5m ..W . . . . . J. u .2 a t to on 3 on om o. o 3.1- i (14.........i...v._\ $.52 ...» 2 . 1&3 5% 5x... c 55.6. .0 ”aka...“ “my. 9. .i c ) ......_?.. £23. _< s .3ch _< 0. 22.3 _< o. , / 2:...3x . v A V / ....,. . J ss as £22222. . . .. 3 k. as £383. o. 0.80”“? ID 6‘ ‘9 09 ./‘ J I‘M < //e 41"; 1. WW I (xx-.- l to... .0 .533. on... m. 5.8: {rag o 90/ 0 £923.04 80 .eozazm an. s. empm_=o.au. .mwamc< wvsmm .mzmcmu cowumpaaoa «no. "woczom mom.o~¢ uvm.mmp Pmm.~¢m mom.- mm... *Pmuoh mm~.- cum.o_ mwmmpp mwm.m Nu nascszx-F< wmo.oa mnm.om mmm.m mmm.n we gmnmcmh me.~F .. mmP.~P cmo.~ _~_ mwcmgwlF< mpm.op N. aoo.o. mmm.p mm_ xwpez com canon: mea.e -- mea.e Nmm mm camemaee Pam.mp ch.m mom.m. 5mm.m Fm. cwmwmz amm.mp nmp._ NmN.N_ mmm.m mm comm wcmm ~¢~.m_ omo.m_ PNP mmq.~ NN :mxmcan< nem.op Pmm.m opm Pmo.m up mwmno wvm.m cap com.m m.... on wmmmup< aoo.m om~.m mom.m cmm.~ m_ cmcwmzm=< enm.e wmm.m mno.m emu a. _?mmup< won.e mum mm..m mmm._ mu mumzup< mmo.mn oom.mm Nmm.¢¢ m_u.m_ Nam ucmpcmucw: zpwu 5mm.eo~ mum Pmm.mom mnm.om P Aura ewe» peace cmEoz umpuuwm mmv_wsm. muumnnam : o P a m P a a o a mo .02 so .oz zuwpmoo. mo msmz onwmm m..H. acme .muwumwumum FocapFauwcmq mo :mwczm .cmumz can mczppauwcm< mo acumwcwz .m:mmu~< new smcmumz .muumz mo cowpmcm23cm chzuzuwcm< Pmcmcmo on» eo mupzmmm mg» scam cmpmasou "mugaom 81 mmm.mmm epm.m Pm..~m ~m~.e~F .om w f 9.55:0 EuEEuo ./ ././. , ./:i i) r/ H :<....W:.x!ii.// i /./, _ ._ \.. z < m _ 0. L r. .\ .. .r /JJ . om 29551.53 22.53.39. .2 “.392. 90 represents the quarters of Yamariah, Bukhariah and Sharqiah, all of which are located to the east of the old town. The high densi- ties within these two major districts are due to a concentration of people in multiple family dwellings and a lack of Open space. Another observation that can be made from an examination of Table ll is the high percentages in Zones Six and Seven. These two areas represent the largest part of the ruralized quarters in our typology of housing types. These districts contain a relatively high density of population. Low density of population is found in districts Four and Eight, the two districts with modern residential quarters. The city of Taif has an average population density of l55 persons per hectare. This figure can be explained by the fact that people are concentrated in a very limited space, a problem created both by im- precise city planning and real estate speculation. The distribution of population in Taif can also be looked at from another perspective, that is, the distribution of pe0ple in relation to dwelling types within districts (Table 11). The most striking feature is that more than 70 percent of the people in Taif live in apartments. When considering individual districts, we find that more than 70 percent of the population in districts Two, Four, Five, Six, Seven and Nine are apartment dwellers. The majority of these apartment dwellers live in one or two floor 91 .mua— .xmzmox ten cu—ngooam so.» gonna» esp an wean—supau vco co__neou "eugaom asknpw omen ..NMP com—m ecome mmo»~ “KN. Npsmm eN—cn ammN— .«ho» we. Nap m_. s o o o o No. a mm. mm. e~.~ mm o o o o c o me.v..=m cacao sn.c— movmu wo.p F_~ m—.n Nme m~.PF o~_~ ~e.m moon so.c ~mw pv.— w. ¢_.~ mmop w—.op memm e~.o~ «mom ac—v—vam u.—n:a o—.~ was. a o o pp.c mm mm. mmm pm. Nmp o c Nw.e mv—p mm.“ smwm e~.— om_ mead—e m x ~o.o— .mpon o—.a men mo.c omm mm.ep momo— mo.m— mmom no.“ .mg. on. pp -.ap smme me.cm cpcpp mo.~— m_m_ mace—u ern me.~m nvnn—p nn.eo .eeem .m.wm muwm om.eo Npm.mn pe.vm .ppww m—.eu omen. em.ow own. No.5m Nona mm.om moo—P ec.m moo— mcoop» Ni. ”acoEacun< op.o Nnvm— mo.—~ «N um.me ammo Ne._ coo ov.e cow. po.~ owe oo.~— em. .~.np ~m_m o o o o u—p.> s~.m use—p o aw.— omm em.— cco mm._ .mm cm. amp co. N— o~.w New. ~m.m oe—N —~.mc nevm muse: auc< 30: o~.o omomp o~.n~ mam pm._ New o~.m mmmp P~.w mmom mm.m oa—— eo.— .N w_.op «Few no.o mwmm m~.m QNN case: aug< vpc Nm. mmwfi. o mm. on mm. “pm we. me mm.m cmm o o mo. m—. o o —.. e— moouuou .uaz .xuogm u u u e a a u o ... m ... s a m x ~ g . 8...: .(boh m m z o N oz...m3a mwa>p oz_..m:o >m zomh:m_th—o zo~p65 l.3 0.7 2.6 l.2 Source: Speerplan and Koshak, 1978. 94 3:098 c: 2.38.. or m r0 >5 ~60 r-ID V b P h m N P o p w m v m o h .2 222. h ... 0.. ”moczom 8369. 8.52 ...: .o 2.0 l.l 32 552.935. :3 D c2838... .20... .o Edema. c. 9.32:5 mo< mp ”$.sz .o~-m~ 4.5.5 .evmw (3.9. .aan . vmém 9199A 95 lam Taif Metropolitan Area FIGURE 19 0 ,0". Tutdh An Numuvh ," AlMuboyriz :' i 0’: ,3 _. AlHurqoh i. Mlhshoko‘x. :' '1‘ Al'iamowi E ..\ Agbar ‘ a“ 5 \‘ : Umm Roqhiy \‘s. Al Hgdd MDor El ‘ - Al Mrdysiyydh . Beldo , N won AlMoshd'lk a Umm Sod'an;“-, .' . Khdoyra‘. Ar quiyydh AlKurnmdl Al Lowgmiyyoh ,- . AlOubsdh., 3 \x I o: “\. I”: i “‘s At Ghddiroin"" ~.\ A: Zinon “x‘ ;.. — Roads Al “quasar. Al Qumriah m"- Tracks OFWO ~_ . Ad Dahyo ' o ‘ J skimmer: "mm is“: 6 ' ' ' limiles 0!. Odah Egti'. ':: ShOhOd "' Khotosho [cu 333' I, Borosh Al Borgohf”. Shihar ,./ ,o'AI Wohot ......c;. r I. Umm Alukur Al Ooroh a...“ : Um Al Khoton .2 Al WihOyt 3 I" {.“.:::"“. .‘t "I. I T‘.\ 't .' \ x 'c, '\ o\. \.. ‘5‘ .""“ ‘. " ‘ f ,..." Al Madiq 'o"‘.'\... I" '0' a“ {Shoqroh ) Hidhayl "aux" ' K, m Thobt\ Aquoylih , Muntglo ’- x I...“ “" SM'°"°' N “win 7" AlAhri‘y'yoh i s. O All-lg'loydl A. $0 \ .‘7 / Asrob , .. a... o." NOW“; 5 i. ;' Jive. AlOir Horjol Source: Taif Planning and Development Department. 96 in the city from other areas who are working or looking for work, leaving behind them both older and younger men and women. Accord- ing to Speerplan and Koshak (1978), about 32 percent of Taif's population in 1978 had migrated within the preceding two years. They have projected that Taif will reach a figure of 331,000 in- habitants by the year 1995 (Figure 21). Much of this increase in the p0pulation growth is attributed to rural urban migration (Speer- plan and Koshak, 1978). In sum, these findings regarding the spatial expansion of Taif, housing types and p0pulation growth seemed to support the pilot project in relation to the question of rural migration to Taif. It has been found through discussion interviews with Omads and based on questionnaire findings of sixty sampled householes inter- viewed in the summer of 1978, that there is an increasing number of rural migrants in the city every year. Generally, there are indica- tions that these migrants have come from different areas, especially from the mountainous region of southwestern Saudi Arabia. The rural migrants in Taif live in neighborhoods that suit their rural tradi- tions (Figure 22). The existence of a group of migrants from one village or an area in a specific neighborhood seems to have some effect on their concentration. Most of the new neighborhoods of ruralized housing type are mixed with people from different areas, .mmmp ..esmox use seFQmeam ”museum 935mg. movtmsp 8358—. mmmpxmhmw 97 mwvtmmmp ..coodow SUOSJOd ..oocdmu 59-2.2. «mucosom 530.0 cozflanom - 255.55 toner. I 2.9 >256 o.Eosoow-o.oom I .39 «3:60 63m - 20.608... Sassoon. 82-8.2 52.238 .8555“. EB see .6 omeebs. Fm mmszu 98 .owmp .sosu:< Xe xm>sum upmw. “mussom mucossonsmfiz ..o mosoufims .0 83m .7 , w I A Ego—2 Lfisozfimfif 85.93.. — , . . _ . . sEmson. 9sz s9mso... o>=mz V , - a . , w w , + _ _ sens: .95: .r a . 8:995. see... :38 ....ee s. cessesma .mssesmzz NN mmust 99 but mostly rural migrants. Such findings will be further examined in view of the general assumptions of this thesis regarding the process of rural migration and residential mobility which will be presented and analyzed through subsequent chapters. Summary Taif is an ancient city which functions as a trade center as well as a summer resort. It is located in the western region of Saudi Arabia within a mountain range at an elevation of approxi- mately 1700 meters above sea level. Because of a lack of available records regarding Taif's devel- 0pment, a pilot study was carried out during the summers of 1978 and 1979. The general objective of the pilot study was to obtain an over- view of the city as well as to become familiar with the inhabitants and community leaders. Such interviews were also useful in determin- ing the city's growth and patterns of expansion. Analysis of housing material was used to determine the age of dwelling units, as adequate records are not available. Three major periods of expansion can be identified: 1945-1964 and 1965 to the present. The period prior to 1945 witnessed the development of the city's core, but was a time of extremely limited expansion. l00 The field survey also proved useful in classifying the residential quarters of Taif. Such classification was conducted according to housing type. Four major housing types were identified: old traditional, new traditional, ruralized, and modern. Other factors which tend to distinguish one residential quarter from another are lot size, block size, and street patterns. Modern neighborhoods, for example, are usually comprised of larger lots, the average block size is larger, and streets are wider and less winding than in the older sections. Taif's total spatial structure most resembles that of a pre- industrial city with the central area composed of both commercial and residential areas. The growth of both sectors is somewhat similar to the sectoral and nucler models. Taif functions as an administrative center for a large region known as Taif's region and is the only important city within that region. Central markets are located in Taif, as well as modern amenities and opportunities not available elsewhere in the region. Consequently, its population has steadily increased; according to the 1974 population, Taif had 200,000 inhabitants. Population distribution is uneven in Taif, with the densest areas being the old central core, and the district located to the east. Lowest population density is found in the modern residential quarters . 101 This chapter is intended to familiarize the reader with the city of Taif: its unique character, spatial design, and residential patterns. This background will be useful in subsequent discussions of the patterns of migration, residential mobility, and character- istics of the migrants, which follow. Our next topic, however, is the research hypothesis itself, and the data collection methods employed in carrying out the objectives of this study. CHAPTER IV RESEARCH HYPOTHESES AND SAMPLING PROCEDURE In this chapter more discussion of the research problem in relation to migration literature is given. The research hypotheses, the process of data collection, sampling procedure and the methods used in the analysis of our data are presented. The Research Problem and Literature Based on the literature discussed in Chapter Two, we find that scholars treating the spatial and temporal dimensions of migra- tion ask four major questions: Who moves? Why do pe0ple move? Where do they move from? and Where do they move to? Clearly, answers to these questions deal with (a) migration selectivity, (b) migration process, and (c) motives of migration. For purposes of this research these three major themes are considered. Students of migration also have tended to differentiate between the motives of rural—urban migration and the motives or reasons behind residen- tial mobility. As stated earlier, the primary goals of this re- search are to examine the process and motives of rural-urban 102 l03 migration to Taif and to analyze rural migrants' residential mobility within the city. The major focus of this thesis is concerned with one type of migrant, that is, rural migrants, since they left their areas of origin to move to where they live now (within Taif). When con- sidering this group of migrants as well as their movements into and within the city, they are expected to exhibit similar patterns in relation to their motives for migration and in respect to their residential mobility. One major objective of this work is to examine the different reasons given by the rural migrants for leaving their original homes and their reasons for selecting Taif as their destination. Other questions also investigated are: Have they made any move(s) since they moved to Taif? What are their reasons for such movements? As a result of their movements within the city, what patterns do they exhibit? In other words do these rural migrants move within their initial quarters or do they move to other quarters of the city? 00 they prefer the same housing types or do they choose different housing types? It is assumed that these rural migrants in the study area are attracted to areas of ruralized housing types (see Chapter Three). Moore (1972, p. 9) writes that "lifestyles can only be achived through interaction with others with the same set of group-oriented values." The rural migrants? residential mobility in Taif will be examined 104 against their socioeconomic status and their housing tenure and types in relation to them as one group and/or as sub-groups based on their origins. It is believed that their length of the urban experience, that is, the possible span of time for a rural migrant in the city, is more likely to affect their residential mobility. The Research Hypotheses Based on the results of previous literature and the personal knowledge of the study area, the following hypotheses have been advanced. They are divided in two major sub-headings, those re- lating to rural-urban migration and those focusing on residential mobility. A. Rural-Urban Migration Hypotheses l. The majority of migrants are drawn from rural areas located to the south of Taif and from surrounding villages as well. 2. The rural migration to Taif is a form of household migration. 3. The rural migration to Taif is a direct one, that is, no stepwise or stage processes operate. 4. 105 The head of the household was at least twenty-five years of age at the time of migration, is unskilled and illiterate. B. Residential Mobility Hypotheses l. Villagers who have migrated to Taif tend to choose and live in areas of ruralized housing types. It is anticipated that the longer the time rural migrants spend in the city, the more moves they will make before they finally settle in permanent dwellings and quarters. The rural migrants in Taif tend to make intracommunity rather than intercommunity types of mobility. Any intercommunity movement made by rural migrants is assumed to take place between quarters of similar housing types. Rural migrants are attracted to areas where friends or relatives are located. The major questions of this thesis and the above hypotheses will be discussed, tested, and analyzed in the following chapters (V and VI). 106 Data Collection and Sample Design Intensive fieldwork was conducted in Taif during four months of 1980. During this period a social survey of households was carried out. A questionnaire was developed and administered to a sampled population of 700 heads of households chosen from random selected quarters of the city. The interviews were directed by the author with some technical and financial assistance from the Univer- sity of Umm Alqura The survey was used to obtain data concerning the process of movement; the characteristics of migrants; the rea- sons for their migration and mobility. In addition, information related to housing characteristics and conditions, location and accessibility, as well as other socioeconomic variables was collected. Due to the lack of statistical information on population num- bers and characteristics for the city and residents of Taif, the sampling process becomes critical. The investigator attempted to collect relevant information through other sources. A pilot study was carried out in Taif during the summers of 1978 and 1979 to trace, as precisely as possible, the development and growth of the residen- tial quarters in the city. As a result of these detailed field in- vestigations, the city's twenty-five quarters were classified into five major categories (Al-Thubaity, 1978). The classification was based on housing types and building materials. The pilot study was 107 discussed in greater detail in Chapter III. The author was able to obtain a complete file of the electricity subscribers from Taif's electric company. The file contained information on names, numbers, and addresses of subscribers. However, due to the uncertainty in the soundness of addresses and for the lack of street names and block numbers in the city, any attempt to use it for systematic sampling of households was found to be unrealistic. Although such conditions as unclear addresses and locations did prevail in the utility company data, other information from the file was used. I was able to calculate the total number of subscribers (in our case households) for each quarter (Table 13). Based on the electricity file, there were 31,766 households in the city of Taif in summer, 1979. For the proposed research, a decision was made to obtain a 2 percent sample of the total number of households. Also a 50 percent random sample of quarters from each of the major five cate— gories was selected (Table 14). The 50 percent figure was decided upon to insure representation from at least one quarter in any given category. The sample 0f households in each selected quarter is propor- tional to the total population of all the selected quarters within any given category and with regard to the total population sample of the category under consideration. The following formulae have been designed. 108 .owm. .sosp:< as xm>sam upowu "mossom oo.oo_ mmm mm oo.oo— mmm.~m m Peach mm.m_ m__ m mm.w~ mpm.m hzzmz mswmao: ssouoz ee~..es=m eex.z om..~ mm. s .e..~ omm.o Pipes ms_m=oz . .eso.o.eese eeu..es=x eex.z mo.e em m m..e e.m.. HI. o=.m=o= .eso.o.eese mN.m mm m mN.m mmm.~ .1: m=.m=o: cameos e..ee mom . o..e. eoo.e. Psi o=.m=o= eo~._es=m mzow>sousH mswuseuo we muposomsoz useosom so .oz Peuoe .os Peace psoosos eo .oz Peso» mpooszm mooap mswmaoz mmm>H wszsoz >m mo.ozmm:o: no onhsmHmHmHo m P m4mo>s=m u.o.. "mossom oN oo.oo. one oo.oo. .mm.oN o. .z.o. . oo.. N. o... ooN mN N .o.o No .m.o moo NN .zzmz N oo.o. oo oo.o oom.. .N Nao ..... ---ow.----::--mmqoi ..... of... N mo.m. me o..N. o.o.N o. .z.zz .N..ooo. ..... ---mom----:::--w.------w.._w: . .o.N .. o..N mom m. .8 ........ --.-i ..... 5mm- ...... oN... . .o.N .. mm.N o.m o. .z: . m..o om mo.m o.N.. o .3... ....... --omfl ..... -----N.m---- ..... --...-f...----:- . oo.m NN .o.o oNo o .ze o oo.o. oN. No.NN ooo.o . N o ow..N om. .o.mN .oN.m . msoum:.u osmosos mzw.>sops. useogos muwosomzoz .oz mooxh so oz .o oz .ooo. so oz .eoo» .o. oo.o=oz .mma.. oz.m=oz .m. mmm.x 1 - a mosque with exposure on one street 2 - a mosque with exposures on two streets 3 - a mosque with exposures on three streets 4 - a mosque with exposures on four streets Source: Field Survey by Author, 1980. l15 These interviews and processes of data collection were not smoothly executed without some difficulties. One such difficulty was the time of the survey. The survey was carried out in the summer during which the city of Taif is always busy because it serves as a summer resort for the people of Saudi Arabia and its Government. During the summer days, people of Taif are always engaged in more than business because of the additional commerce that is brought in. Because of this summer traffic, it was sometimes hard to find our reSpondents at home during the day. Several visits were often required. Another difficulty encountered was the attitude of the public toward the survey. Although this situation was not encoun- tered at all locations of interviews, it appeared that some people lacked knowledge and orientation as to the purpose of the survey and how it related to them. Because of a lack of awareness, some residents seemed to fear strangers knocking on their door once or twice a day seeking information concerning their movements. Many interviewees considered these matters as confidential and were very sensitive about answering questions. Such situations required more complete explanations and polite persuasion in order to fulfill the objectives of the study. 116 “Methods of Analysis Several statistical techniques and cartographic methods were applied in analyzing the data for this study. The major base maps of the city of Taif, used in the cartographic analysis, were obtained from the Taif Planning and Development Department. These maps were then used in the field where observations regarding the historical development and expansion of Taif, as well as the housing types were documented. The existing land use patterns were also recorded on these base maps. This cartographic analysis was instrumental in illustrating the location of the rural migrants in the city, their spatial distribution, and the intra-urban mobility of the rural migrants within the city. A small-scale mape of the Southwestern Region of Saudi Arabia was also utilized to identify the major rural migration streams. Four basic statistical techniques were employed in an attempt to apply the data collected into a useful format. The first technique utilized was the chi-square test of association, a method often used when analyzing categorical data. Through the application of this test, it is possible to explore the relationship between two categori- cal variables, as well as to determine whether the variables are independent or related (Norman et aL, 1975). In this thesis, the 117 chi-square test has been applied to social, economic and housing variables related to the rural migrants. The results of any chi-square test regarding this study are presented under crosstabulation tables. Factor analysis was also utilized in this thesis. This technique makes it possible to reduce a set of intercorrelated variables into a smaller number of dimensions or factors, through a method called‘ the R-mode method of factor analysis (Rummel, 1967). Factor analysis is also useful in identifying the underlying factors when working with a large number of variables (Rummel, 1970). Factor analysis is often used with data which are on an interval scale. However, when the data contain nominal or ordinal data, incidence factor analysis (sometimes called direct factor analysis) is used. In incidence factor analysis ones are used to denote presence of a certain variable, while zeroes denote the absence of the variable (Berry and Barnum, 1962). When incidence factor analysis is used, some researchers would transform the data through use of the Phi Matrix. However, studies indicate that there is no difference in using the Pearson correlation matrix and the Phi matrix (Harris, 1975). In this study, no data transformation took place, an inci- dence factor analysis was used only with those variables that have 118 been dichotomized when necessary. Factor analysis was applied in identifying the underlying factors behind rural migration to Taif, and was extremely useful in this regard. The third statistical technique utilized was multiple discrim- inant analysis. This is an extremely useful technique which helps in distinguishing between two or more groups. It is used for classifying data as well as examining the differences between classes. This distinction is based on a selection of variables which the researcher believes are good predictors of the differences between the group being analyzed, called discriminating variables. The results of this technique indicates whether or not there are apparent differences between groups. If little or no difference is evident in the analysis, the groups are usually homogeneous. Discriminant analysis is similar to factor analysis in that it utilizes interval data. Moreover, if categorical variables are used, the same procedure of ones and zeroes may be applied through dichtomization of the variables or the creation of dummy variables (see Norman et al, 1975). In this research, discriminant analysis was used to discover whether differences among the rural migrants in relation to their regional origins exist or not. This was done in order to facilitate the analysis of residential mobility of the rural migrants in Taif. That is , if large differences are discovered between the migrants of 119 different regions, then they should be treated individually (i.e. separate groups or regions), and if there are no observed differ- ences, the migrants will be discussed as a single group. Accord- ingly, the rural migrants were examined against their social, economic and housing characteristics and found to be homogenous. The final statistical technique which was employed is re- gression analysis. This technique is valuable in predicting and tracing the relationship between the dependent and the independent variables. It is also useful in determining the direction and relative strength of the relationship. For our purposes, regres- sion analysis was utilized in examining the residential mobility of the rural migrants. It was also used in testing the relation— ship between the rate of change in residence and the length of time the rural migrants had been in Taif, as well as this rate of change and some socioeconomic, locational and housing characteristics of the migrants. Finally, some graphic representations of the social variables and the rate of change in residence were constructed. CHAPTER V THE PROCESS OF RURAL MIGRATION TO TAIF Introduction This chapter will deal with an in-depth analysis of the process of rural migration to Taif. The main objectives are to determine the sources of rural influx, the types of rural migration, and the reasons for migration, as well as to examine the characteris- tics of rural migrants and their location within the city upon first arriving in Taif. Before these objectives can be met, however, it is necessary to scrutinize the responses obtained in this field sur- vey and observe the various types of migration that occurred. Classification of Responses Based on 700 questionnaires distributed within the sampled quarters in Taif in the summer of 1980, more than 71 percent of the respondents were identified as migrants (Table 15). Natives of Taif, that is, those born within the city, were the second most numerous group in Taif; they comprised 10 percent of the respondents. A third 120 121 .omm. .sosose as No>s=m u.o.s noosuom .msmzo.>sous. as soNNeEsows. msmpso53oou s. msossm so mpsousoomos soc; .emsmos op osoo .mosoEsm..oeumm oue>.so use u..o=so .wpeh so ssos use: a..es.m.soe oo. N.N a. N.N N.. o.o. N..N usoosos ooN mm o .m m. oN Nom .euoh N.m co m.N m i . m.No a. m.N. N o.m. u m.N. m ses.smio. N.. w l i i . o.om o - . o.mN N o.mN N se.u.es¥-m. N.N 0N . u i . o.m. m i . o.oo m o.mo m se..em.esiN. o.N m. N... N i i i i i . m.mm u m.mm o. .eom<-.. o.. .. N.NN m i i i i u - o.om o «.mm o seNseENepamio. N.N m. N.N. N i i l i i l i . u.um m. es~=z-m N.N m. ..N. u i . N.N o ..N . N.@ m o..N mm .smeazuw N.N em m.N. m i . m..N o. N.N N m.N. m o.om Nm esseoiu o.m um i i i u m.. . u.m N e.om N. N.Nm um sesepemuu o.m. .m N.N N N.N N m.m m i . ... . o.mm .m sewosesmim o.. o. o.oo o - - - - - - o.o. . o.om m oesooezm-o N.N uN o.MN o i i i i i . m.m. m N.Nm m. sewssaoim o.NN Nm. ..e. NN m.. m u. . u. . m.. m m.om NN. se..eEesm .mlN m.m. mm. . n N. . - i i . m.o m w.em NN. sewsssem .m-. N .oz N .oz N .oz N .oz N .oz N .oz N .oz .epoh umuo.oeous. who: seesaw omu.s.oeumm emo>muez musesmwz msouseso mmmzosmmm uo.osem mmmhmm mmmzommmm no mma>h >m m3mH>mthH no onPszm u.o.. "mossom .so.oeusomm.u m.su s. No. owes .m. o.oeN mom so.p.s.Nou m.ossxm some , so. N.N m. m.N m.. o.o. N..N psoosos oo. ooN oo. mm so. o co. .m co. m. 00. ON co. Nam ..uez mosesm.z mooxN ms.m=o: mNZNQZOQmmm mmm>N wZHmzo: >m mhzmozoamum no zo.Nczm u_mmm "mucsom 129 .oop ._4.. ... . m.- A..,.. m.N_ .. ..4m.~ m.~m “caucus Nam cop omp .oop o“ oer me cop mom 4mamz cane: Faczm mma>h mhzmozoammm uzflmaom mmm>h oszso: >m szHmo mo mmm>h >m mhzmozommwm no onhzmHmthouu.w~ mgmL=8 8_888 "wuczom .mcowpmpau—mu pcmugma ucm Fcpou c8 uwcapocw 888 88;» pan .cmaE=c ucmowmwcmwmcw 08 8:8 cmupmso mew 8:82 new “gm?” mcowmmmw 888 8.8 8.8 8._F 8.88 8.88 8.88 8888888 888 8 88 88 _88 P8 88 . 88888888 F_ - - - - 8.8_ 8.88 8.8 8.88 8.8 8.8_ - - 8 88 8.88 8.8 8.88 8.8 8.8, 8.8_ 8.8_ 8.88 8.88 8.88 8.88 8.88 8 88 - - 8.8_ 8.8 8.8 8.8 8.88 8.88 8._8 8.88 8.88 8.8_ 8 88 - - 8.8 8.8 8.8 8.8_ 8.8 8.88 8.8 8.88 - r 8 88 - - 8.8_ 8.8 _.88 8.8_ 8.8 _.88 8.8 8.88 8.8_ 8.8_ 8 88 8.88 8.8 8.8_ 8.8 ~.P_ 8.8_ 8.8_ 8._8 8.88 8.88 8.88 8.8_ 8 88 8.88 8.8 8.88 8.8 8.88 8.8_ 8.88 8.88 8.88 8.88 8.88 8.88 P caspou 3oz caspou 3oz caspou 30¢ cazpou 3cm asapou 3oz cszpou 30m ucmogma ucmucma pcmocma pcmugmm pcmogma pcmugoa mszHmo 888_8888 88 “w 88-88 88.88 . 88-88 88-88 _8_ mm . 88 288888 Apcmummmv manomw um< 3255:... .Emzm no 52535 mw< ..NN 59:. 144 Percent of Migrants FIGURE 27 Rural Migration by Age Groups 4O 35 30- 25- 20- 15— 10- \L -- . 514 15-24 25-34 35-44 45-54 255 Age Groups Source: Field survey by author. 1980. 145 were predominantly young adults between 15 and 34 years of age. Rural migration seems to be less frequent among those who are more than 35 years of age; however, when these percentages are combined with that of the 25 to 34 years category, we find that 53 percent of the rural migrants surveyed were more than 24 years of age at the time of migration. This finding substantiates the hypothesis that the majority of rural migrants to Taif were 25 years or older at the time of migration. Variations in the distribution of the migrants between regions in relation to their ages are also apparent (Figure 28). Although this may be merely a function of the variations in the total p0pu1ation distribution within each region, it is unwise and unnecessary, for our purpose, to speculate fucther. It will suffice to say that such differences do exist and should be con- sidered in our analysis. With regard to educational level, the survey reveals that more than 59 percent of the rural migrants are 1iterate‘(Table 23). This finding refutes our expectation that the majority of the rural migrants would be flitterate. When a test of confidence internal was applied, it was found that the hypothesis is rejected at a 95 percent confidence level. Again, variation among the regions is 1The literacy rate for Saudi Arabia is very difficult to determine, as there are no standard levels of proficiency. However, for our purpose, literacy is defined as the ability to read and write as a result of some minimal education. 146 Percent of Migrants Source: FIGURE 28 Distribution of Age Groups by Regions 45'- 4O 35'- 30 25-a 20 15- 10 z 55 -""""'"\, \. 0 r I f) 1 2 3 Age Groups Regions Fie1d Survey by Author, 1980. 147 TABLE 23 THE EDUCATIONAL LEVEL OF RURAL MIGRANTS Reg;°" EDUCATIONAL LEVELS (Percent)a . Abso- Ori ina ' lute g Illiterate Limited Hi h School Others -------_---__-599295399_.---3 ....................... . 10 Percent Percent Percent Percent Row Column Row Column Row Column Row Column 1 46.6 33.1 31.8 25.0 15.9 29.2 5.7 26.3 89 2 54.3 15.3 25.7 8.0 11.4 8.3 8.6 15.8 35 3 44.8 10.5 41.4 10.7 13.8 8.3 - - 29 4 38.5 4.0 30.8 3.6 23.1 6.3 7.7 5.3 13 5 35.0 16.9 33.3 17.9 21.7 27.1 10.0 31.6 60 6 31.7 15.3 55.0 29.5 10.0 12.5 3.3 10.5 60 7 36.4 3.2 36.4 3.6 18.2 4.2 9.1 5.3 11 Absolute 124 112 48 19 303 PERCENT 40.9 37.0 15.8 6.3 100 aRegions Eight and Nine are omitted due to insignificant number, but they are included in percent and total calculations. Source: Field Survey by Author, 1980. 148 both expected and evident. Broad fluctuations are apparent, for instance, between Region Two, with a 54 percent rate of illiteracy, to Region Six, where 68 percent of the migrants are literate. The overall high literacy rate of migrants in Taif, however, contrasts sharply with Malik's (1973) findings in Riyadh, where literacy rates from migrants in villages and the desert were 27.6 percent and 23.6 percent reSpectively. For the most part, this difference is attrib- utable to the fact that Malik's findings were based on data collected in 1968. This twelve-year period has seen vast improvements in the literacy rate in Saudi Arabia. When age is considered as a factor, differences between migrants in relation to their level of education are apparent. A test of the relationship between age and education was found to be significant at .0001 level (Table 24). An analysis of the table reveals that younger migrants are more concentrated in the higher levels of education, while those migrants over 35 years of age are within the lower categories. This finding is not unexpected as educational opportunities have increased drastically over the past 25 to 30 years and especially within the past 15 Years. In terms of occupational levels, the majority of rural migrants (46 percent) are government employees, such as managerial, clerical, and service-related employees (Table 25). A significant 149 TABLE 24. LEVEL OF EDUCATION BY AGE Level of AGE GROUPS (Percent)a Education .<.--29 .......... 29:99 ........ 99:99 ........ 99:99--- --3.--99--- “Mme Percent Percent Percent Percent Percent Row Column Row Column Row Column Row Column Row Column Illiterate 2.4 16.7 5.6 13.5 27.4 47.5 29.0 45.0 35.5 60.3 124 LIMItei 2.7 16.7 15.2 32.7 26.8 37.5 31.3 43.8 24.1 37.0 112 EducatIon High School 20.8 55.5 29.2 26.9 29.2 17.5 16.7 10.0 4.2 2.7 48 Others 10.5 11.1 73.7 26.9 10.5 2.5 5.3 1.2 0.0 0.0 19 aRegions Eight and Nine are omitted for insignificant number, but they-are included in percent and total calculations. Chi square = '99.86 Significant at .0001 level with 12 degrees of freedom. Source: Fie1d Survey by Author. 1980; and SPSS Crosstabs. 150 TABLE 25. THE OCCUPATIONAL LEVEL OF MIGRANTS BY REGIONSa Region TYPE OF OCCUPATIONS (Percent) _ of Absolute origi" 9929999909---999999999199.---19999_--- --lnf99991-- ID Row Column Row Column Row Column Row ,Column, 1 36.4 22.9 3.4 27.3 15.9 40.0 44.3 33.6- 88 2 31.4 7.9 5.7 18.2 5.7 5.7 57.1 17.2 35 3 34.5 7.1 - - 13.8 11.4 51.7 12.9 29 4 61.5 5.7 7.7 9.1 7.7 2.9 23.1 2.6 13 5 58.3 25.0 5.0 27.3 13.3 22.9 23.3 12.1 60 6 55.0 23.6 1.2 9.1 6.7 11.4 35.0 18.1 60 7 72.7 5.7 9.1 9.1 9.1 2.9 9.1 .9 1 11 Absolute 140 11 35 116 302 Percent 46.2 3.6 11.6 38.3 aRegions Eight and Nine are omitted for insignificant number, but they are included in percent and total calculations. Source: Fie1d Survey by Author, 1980. 151 number (38 percent) are engaged in blue collar jobs, manual labor, or small business ownership (titled "Informal"). "Informal" jobs include any that are performed by semi-skilled or unskilled laborers. Again, variations between regions are evident. For example, the majority of the migrants in Regions Four, Five, Six, and Seven are government employees, while those migrants from Regions One, Two and Three are engaged primarily in informal jobs. Rura1 migrants are not highly visible in construction jobs, due to the fact that most of these jobs are filled, by foreign migrants, especially those from Yemen. There is, however, a significant relationship between the type of work engaged in and the age of the rural migrants (Table 26). Migrants between the ages of 24 and 34 are highly clustered in the government sector, while those 35 years of age and older are concen- trated in the category described as informal jobs. Construction and trade careers seem to be equally popular among the migrants who are 45 years of age or older. A significant relationship also exists between the type of work engaged in and the level of education (Table 27). Those migrants with little or no learning experience are highly concentrated in non- governmental work. It should be pointed out, however, that not all government jobs arelyfprofessional caliber as more than 50 percent 152 .mneummogu mmam new nommp .eocu:< ma xm>eam 88888 ”muesom ._8>8_ 8888. 88 88888888888 e8888ee 88 8888888 8_ 888: 88.88 1 888888 8888 opp ¢.mm o.mm m.wm m.mw m.~¢ v.w~ m.m— m.“ N.NN ¢.m FmELO$cu mm p.mp 8.8m .m.m~ m.~¢ m.m o.o~ w.m n.m I I mung» FF m.m ¢.mm Mo.m 8.9m ~.F F.m .m.~ —.mo o.m P.m cowuuzgumcou 088 o.o~ m.mp .m.nm 8.8N ~.m¢ m.mw .o.mn m.n~ . N.Nn m.m ucmscgm>ow caspou 3cm ass—om 30m csspou 38m asapou 3cm csaFou 3oz pcmuema 8288888 pcmuema .ucmuema - 8888888 8282 51.18881218888.... 18888---.1-888881:.------88-w: ...-9 L. .5 maucmuemmv manomw mo< xmos no wa>k oz< mhz8zm 88888 “muesom .8888. 88 88888888888 .8888888 88 8888888 88 888; 88.88 8 888888 8888 153 888 8.8 8.88 8.88 8.88 8188888 888 88 88 888 888 88888888 888 - - 8.88 8.8 8.88 8.88 8.88 8.88 88888888 88 - - - - 8.88 8.88 8.88 8.88 88888 88 - - 8.8 8.8 8.8 8.88 8.8 8.88 888888888888 888 8.888 8.88 8.88 8.88 8.88 8.88 8.88 8.88 8888888888 :Ezpoo 30m 858880 308 caspou 20m cszpou 301 8888888 8888888 8880888 8888888 ..... 1-1-1-1111-------Mmmmmwilll-1mwflwmwwwwlllill1..-- 88888888 88888 . 8883 888: 8888888 8888888888 88 8888 Apcmugmav onHm4 mhzm4 oz< xmoz no ma>p zmmZHmm amzmonh<4mm .NN m4m t .40 Factor Dimensions Loadings for Each Factor ._ .Loadings Component I Complete Family Migrated .91 "Family Attraction Relatives Are In Taif .51 Factor" Component II Years Away from Village .85 "Permanency Years Living in Taif .87 Factor" Component III Village Households -.69 "Family Size Family Size at Village -.66 Factor" Too Many Members in the Family .44 Component IV Family Disputes .51 "Stress Factor" Loss of Parents .56 No Schools .47 Component V Farming Before Migration .88 "Farming Factor" Farming After Migration .91 Component VI Modern Amenities .85 "Urban Attraction Taif is Closer .57 Factor" More Opportunities .72 Component VII No Jobs —.58 "Employment Factor" Better Jobs .49 1 For more details of the variables used in factor analysis, see Appendix B. Source: Fie1d Survey by Author, 1980; and SPSS Factor Program. 159 seems that whenever there are members of the family living in Taif, these relatives exert influence in convincing the family to move to the city as well as assist in their physical movement to Taif. Component two may be labeled the "permanency factor." It identifies the years the migrant has spent away from the village and years in Taif. To illustrate this component, we will look at the following example: According to the survey data, the majority of the rural migrants (51 percent) have been living in Taif for more than sixteen years. In fact, about 34 percent migrated twenty or more years ago. This mass rura1 migration coincides with the massive drought which prevailed in Saudi Arabia in the 19505 and 19605 and which stimulated a "push" out of rural areas. Malik (1973) in his study of rural migration to Riyadh has cited this event as one reason for rural migration. The third component comprises the so-called "family size factor" as it identifies characteristics of household and family size. Three variables load more than t 0.40 each in this dimen- sion. The total number of village households and the total number of family members in those households are related. The "family size factor" can affect rural migration in two ways. First, large villages tend to spawn more intense competition for employment, and thus stimulate a higher volume of migration. Second, 160 large family size tends to exert pressure on the head of the house— hold to provide for household needs which in turn tends to increase the volume of migration. In addition, Islamic conditions for in- heritance provide for equal division of land between all of the children, which tends, over time, to put pressure on large families, who depend on the land for food, to migrate in order to support themselves. Component Four has also been labeled the "stress factor," as it identifies stresses which contributed to the decision to migrate. Stress may be social, psychological, economic, or poli— tical, among others. In our case, family-related stress, such as the loss of a parent or a family dispute, is the most prevalent. The fifth component may be identified as the "farming fac- tor,“ which is basically self-explanatory. Crop failure or farm deterioration can be a push factor for rural p0pu1ations. This may be due to adverse climatic conditions of the region, the inability to improve yields or production capabilities, and related agricul- tural problems. Thus far, the factors identified have been associated with the origin of the migrants, that is, the rural areas and character- teristics of migrants from those areas. Components six and seven, however, identify the receiving center or destination, in this case, 161 Taif. Component Six has been named the turban attraction factor." The variables that load highest relate to modern amenities and better Opportunities which Taif, as the dominant city in the moun- tainous southwestern region of Saudi Arabia, provides. The final component is the "employment factor." It identifies the lack of employment opportunity in the rural areas and the existence of better jobs in Taif. In terms of the relative strength of these seven components, the first two account for one-quarter of the total variance explained. The first accounts for 14.4 percent, while the second component accounts for 11.2 percent of the total variance (Table 30). Suc— cessively, the percent of variance explained by each component de- creases, until the seventh component, the "employment factor," explains only 5.4 percent of the total variation. In sum, these seven extracted components account for 62.8 percent of the total variance. To further illustrate the importance of the variables in the factor analysis, communality estimates are utilized. Commun— ality is a measure of the proportion of the total variation of each variable. explained in the components extracted. Table 31 shows the important variables which have 0.40 percent communaiity or more. From the table, it becomes evident that the eight 162 TABLE 30 VARIANCE ACCOUNTED FOR BY SELECTED FACTORS ' ‘1 fi ‘vv—V Facter Eigenvalue _P¢rcent.Varian¢e .. ,Pummvlativ¢,Per¢ent 1; 3.11 14.4 14.4 2 2.42 ' 11.2 25.6 3 2.21 10.2 35.7 4 1.89 8.8 44.5 5 1.44 i 6.7 51.2 6 1 34 6.2 57 4 7 1 16 5.4 62.8 Source: Field Survey by Author, 1980; and SPSS Factor Program. 163 TABLE 31 VARIABLES WITH ),.40 COMMUNALITY Variables Communility Opportunities .81 Years Living in Taif .72 Farming Before Migration .65 Family Size at Village .60 No Jobs .54 Better Jobs .48 Modern Amenities .44 No Schools .41 Source: Field Survey by Author, 1980; and SPSS Factor Program. 164 variables contribute most to the pattern of the seven selected com- ponents discussed previously. They represent measures of employ- ment, years residence in Taif, family size and amenities. 0rigin--Destination Relationship Having identified the flows of the rural migrants, their social characteristics, and the factors behind their migration, it is important that the initial location of these migrants upon arriving in Taif also be investigated. Other crucial aSpects of the rural migration process relate to time. Specifically: when did this proess take place? 15 the frequency of migration increas- ing or decreasing annually? Do rura1 migrants perceive their stay in Taif as permanent or temporary? How frequently, if ever, do migrants make contact with their place of origin and what is the nature of such contact? These spatial-temporal aspects are the focus of this section. The spatial distribution of the rural migrants upon their initial arrival in Taif reveals several interesting patterns (see (Table 32). A plurality of the rural migrants (44 percent) settled in the quarters of Shuhad-Shamaliah and Shuhad—Janubiah. The quarters of Sharqiah, Yamaniah, and Salamah were the initial 1(55 .mcovuapaupou ucmugoa ecu page» :. vmuapucv we» 26;» “an .Loaeac acouNuwcmchv com vmuumeo wen och ucm uzmvu mcopmmz .mamummOtu mmam can omm_ .Lo;u=< an auaum epaaa "oataom .pcco. um venomwvcmFm ”.soummgw ma mmogm mmp new: Fae. u msmaom Ngu ”mac: n .gmasac acmuvmvcmvmcw to» «pan» age sex» vmuuvso men mucmgmvs «cougma N.N o» e. cu?) mguugoaon mN . N op P N N on uz_mm~z mNN ON Nm «a N_ NN NN Nm J. 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Percent 17- : c 2‘ c I: “<3 g a: g D 3 Al > g '5 Few years Many years El: (83 a .5 E 0 Recent migrants Lagggrgfirgn é "' U) '3 5 8 9 8 2 E 5 17.0 '8 6 39,9 :3 8 5 Percent E 5 Percent 53 s g 8 g m 1"," LL 3 u. Few years Many years 5 Six years ZSeven years Length of time in Tait Source: Field Survey by Author, 1980. 204 Factors Behind Residential Mobility The previous analysis of the rate and frequency of residential mobility reveals that a considerable number of movements have occurred. The question that remains is: what are the major factors behind these intraurban moves? To fully answer this question a number of social and economic characteristics are subjected to statistical testing. First, to distinguish between the sampled rura1 migrants (in terms of their regional origins), a stepwise discriminant analysis is applied. The rural migrants are examined against their social, econ- omic and housing characteristics; these were the variables used in the discriminant analysis (Appendix C). The purpose of this analysis is to discover whether significant differences between the rural migrants (based on their regional origins) exist, whether these dif- ferences can be discerned, and if so, what are the discriminating variables. The result of the discriminant analysis reveals the fol- lowing conclusions. (1) Only 36.15 percent of the cases, that is, rural migrant households, are correctly classified; the error rate is .638. That is, some of the rural migrants from a given region were in fact grouped with those of one or more other regions on the basis of the aforementioned socioeconomic and housing characteristics (Table 41). (2) This finding indicates that the ability to accurately 205 TABLE 41 CLASSIFICATION RESULTS OF DISCRIMINANT ANALYSIS Regional Number Predicted Regional Membership Origins of ID. a Cases 1 2 3 4 5 6 7 l 88 46.6 6.8 6.8 6.8 9.1 15.9 8.0 2 35 14.3 17.1 8.6 17.1 14.3 17.1 11.4 3 29 6.9 13.8 41.4 20.7 10.3 0.0 6.9 4 13 15.4 0.0 7.7 30.8 15.4 15.4 15.4 5 60 10.0 11.7 15.0 16.7 25.0 15.0 6.7 6 60 15.0 6.7 11.7 5.0 13.3 38.3 10.0 7 11 9.1 18.2 0.0 0.0 0.0 18.2 54.5 Ungrouped Cases 7 42.9 . 0.0 0.0 0.0 14.3 14.3 28.6 a - Regions Eight and Mine are omitted for insignificant number. Source: Fie1d Survey by Author, 1980, and SPSS Discriminant Program. 206 predict differences among migrants based on their region of origin cannot be determined, due to the fact that these rura1 migrants have basically homogeneous socioeconomic and housing characteristics (Figure 36). (3) As Figure 36 reveals there is a considerable over- lapping of cases from the different regions. This finding supports the notion of homogeneity among the migrants. (4) As a result of these findings, the decision is made that further analysis of resi- dential mobility should consider the rural migrants in Taif as One group. A second statistical analysis, regression analysis, is also applied to the relationship between the dependent variable (mobility rate per household) and a number of independent variables (Table 42). Based on the correlations shown in Table 42, four major conclusions may be reached. First, although there is a relationship between the dependent variable and each independent variable. the r values in almost every case are very weak and not statistically significant at the .05 or .01 levels. Secondly, there is a positive relationship among most of the variables. However, there are a few with negative correlation to the rate of mobility, these variables are the level of education, marital status, distance from the center of the city, and dwelling size. Third, the only correlation statistically significant at the .01 level is distance from the city's center. This finding 2(17 Canonical Discriminant Function 2 FIGURE 36 A Scatter Plot of Cases By Regional Origins -3 —2 1 9 l 2 £3 4 3 3-1 5 3 3 1 54 5 24 35 5 12 3 1 6 2 1 1 1 1 42 4 1131355456 23 2 6 1‘ . 1.- . . :5 21.563 11 1163 46:11 3116137 6163465 5 5 5 04 1 111 311-1 24141396515 2 # 211615163211: *16 5565 5 7 1 1 657571711116 3* 166 5 71 17 #16171 2g5g26 666 53 2 5 -1a 1 1 1 1:11 25 5 665 7366 5 265 2 #2 5 61 5 1 35 6 5 1 -2. 1 6 5 s 26 5 -3. -3 -2 -1 O 1 2 3 Canonical Discriminant Function 1 1—7 Represent cases from regions * Represents group centroids # Represents ungrouped cases Source: Field survey by author. 1980 and SPSS Discriminant Program 208 TABLE 42 SEECTED STATISTICS FROM REGRESSION ANALYSIS Independent Coefficient of Coefficient of Variables ’ Correlation (r) Determgnation Significance (R) Socioeconomic Variables Income .067 .081 .272 Education -.O73 .128 .080 Occupation .031 .114 .898 Age .026 .202 .193 Family Size .019 .114 .662 Marital Status -.O78 .113 .555 Location Variables An alley unit .012 .085 .900 One street exposure .071 .114 .944 Two street exposure .012 .091 .865 Distance to major street .058 .112 .581 Distance to major market .021 .083 .520 Distance to city center -.O44 .205 .002 Housing Variables Dwelling Size -.027 .204 .427 Dwelling Area .028 .182 .837 Ruralized Dwelling .072 .124 .180 Apartment .113 .112 .985 Villa .055 .085 .442 Home Ownership .068 .201 .731 Source: Fie1d Survey by Author, 1980 and SPSS Regression Program. 209 supports the descriptive analysis above, that is, rura1 migrants tend to settle near the city periphery. Based on the results obtained from regression analysis and according to the amount of variation explained by each independent variable. only those variables that explain 20 percent or more of the variation are considered for further treatment. Thus, the var- iables selected are: age, distance to the city's center. dwelling size and home ownership. This does not imply that remaining inde- pendent variables have no effect on the dependent variable's distri- bution; however, their effect seems limited, and thus any explanation may result in misinterpretation of the rural migrants' residential mobility patterns. Using the four variab1es identified above would seem to be the most meaningful way to discover the major factors behind this mobility. Initially a crosstabulation of these variables with the rate of mobility is conducted. With regard to the various age groups and the rate of change in residence, the number of moves tends to increase with age (Figure 37). Fluctuations are apparent, however, and those between the ages of 25 and 34 years old have thus far only two moves. If we look at a combination of these that have three or more moves, the rate of mobility reaches its highest point among the migrants 35 to 44 years old. However, the relationship between age and mobility is found to be 210 Percent of Migrants Source: FIGURE 37 Rate of Change in Residence by Age Groups ----- One move —— Two moves . .. . . . Threemoves W Four moves ----- zFive moves _ .>.Three moves 40- 35- 30-4 25- 20- /\ . / \ e O 0 ° ° . . . . . ./ ‘\ .. 15_‘ // \\ ,- 10- 5.. 0 l 1 1 1 1 5.24 25-34 35-44 45-54 255 Age Groups Field Survey by Author, 1980. 211 insignificant (Chi square = 27.7, significance = .274) which confirms the result of the correlation analysis, that is, the relationship be- tween age and mobility exists, but is very weak. It might be construed that the effect of age on mobility, however small, is an indication of the workings of the family life cycle, a theme which dominates much Western literature on mobility. However, in this case we are dealing with a specific group of migrants, namely rural migrants, on the one hand, and a strictly traditiona1 Saudi Arabian society on the other. Although we cannot totally dis— count the idea of life cycle moves, particularly because of a lack of available literature from non-Western societies, the following two factors seem to have a bearing: 1) the increase in family size through reproduction as well as from family members who have migrated and 2) a related socia1 factor may be important, that is, the desire to live close to friends andrelatives. In terms of distance, the evidence from the corrolation analy- sis reveals there is a negative relationship between distance to the city's center and the rate of residential mobility. This relationship is significant at the .01 level. The majority of the rural migrants (83 percent) have moved to homes located at least 1000 meters from the city's center. This finding confirms an earlier observation made that rural migrants tend to move from their initial locations near the older and central part of Taif to areas of ruralized housing types; 212 these areas are usually distant from the center of the city. The negative relationship also confirms the earlier discussion of resi- dential location as expressed in terms of land values, social and economic characteristics of the city's spatial organization, and the varied housing types. There is also a negative relationship between dwelling size and rate of mobility. As Table 43 illustrates, the majority of rural migrants (77 percent) who have changed their residences were those moving from small (five rooms or less) dwellings. Nonetheless, this relationship is found to be not statistically significant, which suggests that variables other than dwelling size have a greater effect on the rate of intraurban mobility among the rural migrants. The final variable examined is home ownership. Although there is a positive relationship between this variable and the rate of mobil- ity, it is again not statistically significant at the .05 or .01 levels. The majority of the rural migrants who moved to new locations were renters (74 percent). It is important to note, however, that over one half (54 percent) of these renters have been in Taif for 10 years or less, a condition which would logically affect their home ownership status. The previous analysis has shown that the utilization of socio- economic characteristics of the rural migrants and their housing 213 TABLE 43 RELATIONSHIP BETWEEN DWELLING SIZE AND RATE OF MOBILITY FOR MOVERS AMONG RURAL MIGRANTS (Percent) DWELLING SIZE Number Small Medium Large of \< 5 6-11 >, 12 Absolute Percent Moves Rooms Rooms Rooms 1 13.9 17.7 0.0 32 14.3 2 40.7 37.8 28.6 89 39.7 3 19.7 20.0 57.2 43 19.2 4 8.7 13.3 0.0 23 10.3 5 18.0 11.2 14.2 37 16.5 Absolute 172 45 7 224 100 Percent 76.8 20.1 3.1 100 Source: Fie1d Survey by Author, 1980. 214 characteristics are not good predictors of their residential mobility. Additional variables need to be considered. This failure in predict- ing the major factors behind residential mobility of the rural migrants in Taif is possibly because the decision to migrate is a very complex process. As the decision to move is a subjective matter, any success- ful attempt to explain intraurban mobility should utilize the reasons I provided by the individual households under consideration. In conduct— ing the interviews for this research the migrants surveyed were asked to identify those factors which influenced their decision to leave their previous locations and to select their present ones. A summary of this inquiry is provided in Table 44. Table 44 is a matrix that summuarizes the movement factors asso— ciated with origins and destinations. We shall begin our discussion of the table by looking at the marginal frequencies. Row totals indi- cate the frequency of responses regarding origins. Dwelling size is the dominant factor (42 percent), followed by others, family size and high rent with 25, 13 and 12 percent of the reSponses, respectively. The column totals are factors involved in choosing destinations. Social ties was the most frequent response, followed by home ownership and dwelling size, which are represented by 22 and 20 percent respec— tively. 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VARIABLES . i . , LOADINGS I Complete family migrated .9l Relatives are in Taif .Sl Age of Head of Household .38 Village prOperty .47 Taif is closer .29 II Years away from village .85 Years living in Taif .87 Occupation of Head of Household .33 Family size at village .41 III Village households - .69 Family size at village - .66 Too many members in the family .44 Relatives are in Taif .35 IV Family Disputes .51 Loss of parents .56 No schools at village .47 Years away from village .31 v Farming before migration .88 Farming after migration .9l Village property .19 VI Modern Amenities .85 Taif is closer .57 More opportunities .72 VII No jobs at village - .58 Better jobs in Taif .49 No schools at village .37 Source: Field survey by author, 1980, and SPSS Factor Program. 278 APPENDIX c RESULTS OF DISCRIMINANT ANALYSIS NILKS * * CHANGE STEP VARIABLES ..LAMBDA . RAO'S V . IN V SIG. 1 Distance to city center .2867 554.6 554.6 .000 2 Distance to nearest market .1994 668.2 113.6 .000 3 Dwelling area .1938 690.6 22.3 .000 4 Alley resident .1891 710.9 20.3 .000 5 Income .1807 729.8 18.8 .000 6 Apartment .1750 745.7 15.9 .000 7 Distance to major street .1720 756.2 10.4 .005 8 Ruralized .1686 763.5 7.3 .025 9 Three exposure house .1664 769.2 5.7 .057 10 Dwelling size .1632 776.4 7.1 .027 11 Year moved to Taif .1607 782.7 6.2 .043 12 Education .1586 787.3 4.6 .096 13 One exposure house .1571 792.4 5.0 .080 14 Two exposure house .1556 796.8 4.4 .110 15 Villa .1551 799.8 2.9 .225 16 Duration of residence .1547 801.0 1.2 .543 17 Rate of change of residence .1541 802.5 1.4 .472 18 Size of household .1540 802.9 .3 .831 * Significant Source: Field Survey by Author, 1980; and SPSS Discriminant Program. 279