| Project/Area Number |
08680174
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Human geography
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| Research Institution | TOKYO METROPOLITAN UNIVERSITY |
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Principal Investigator |
SUGIURA Yoshio Tokyo Metropolitan University, Graduate School of Science, Professor, 理学研究科, 教授 (00117714)
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| Co-Investigator(Kenkyū-buntansha) |
ISHIZAKI Kenji Tokyo Metropolitan University, Graduate School of Science, Assistant Professor, 理学研究科, 助手 (10281239)
WAKABAYASHI Yoshiki Tokyo Metropolitan University, Graduate School of Science, Associate Professor, 理学研究科, 助教授 (70191723)
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| Project Period (FY) |
1996 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1997: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1996: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | behavioral geography / residential choice / environment evaluation / logit model / Tama New Town / GIS / GIS |
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| Research Abstract |
Migration caused by residential change within Tama New Town is analyzed with special reference to both of physical and social aspects of residential environment. Questionnaires were distribnted to the two types of sampled households which have recently changed residence within Tama New Town and those neighboring to them in order to obtain the data on reasons of residential change and evaluation of residential environment. The average image of the sampled households is characteristic of white-collar. class whose head of the household is in his forties and whose number of household members is four. The main reasons of residential change are attributed to the birth and growth of their children and dissatisfaction with residential environment. Moved households are much more dissatisfied with residence-relevant items such as the size of house and the plan of house than stayed-households. Spatial distribution of composite evaluation of residential environment is analyzed with GIS, so that it turns out that the evaluation depends on topography and accessibility to various, public and commercial facilities. Logit modeling on the decision to move or to stay reveals that the decision to move is well accounted for by residence-relevant variables rather than living-environment-relevant variables such as amenity, safety and convenience.
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