西方城市居住区位决策与再选择模型的评述
The Comment on Research of Western Intra-urban Residential Relocation Models
查看参考文献26篇
文摘
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城市居民居住区位选择行为影响着居住空间结构,城市社会分异、种族隔离、人口迁居和住宅郊区化在很大程度上都是居民住宅区位再选择行为作用的结果,因此,研究居住区位对探讨城市内部空间结构等问题具有重要意义.本文主要分析了西方城市居民居住区位再选择行为模型构建的基础和研究视角,并且重点介绍和评述了西方居住区位决策与再选择的主要模型. |
其他语种文摘
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Urban inhabitants' housing choice behavior affects urban residential spatial structure. Further more, urban inhabitants' housing choice behavior is relevant to segregation on siden- tial spatial structure, race discrimination, residential mobility and suburbanization. So many scholars pay more attention to housing choice behavior. This paper mainly introduces the theory frame of housing choice behavior research and methodology and important models Housing market and inhabitant's social attributes influence residential location decision process and relocation choice behaviors. Housing' location is fixed and housing is expensive and everlasting. So present stock and developing trend of housing market determine household' s residential location decision process and household's relocation choice behavior. Inhabitants' social attributes include income, profession, age, education degree, household structure, race and religion. Inhabitant' s location process exhibits some regular spatial preferences because of age, household scale, income and workplace. There has been a sharp dichotomy between mi-cro-level and macro-level analyses in past research. Under assumption of utility maximum, mi-cro-level research mainly focuses on mechanism of consumer housing choice behavior. On the contrary, macro-level research mainly focuses on equilibrium of housing market, the relationship between mobility probability, population, income and present housing condition. This paper mainly introduces main residential location decision process and relocation choice behavior models and authors make some comments on them. |
来源
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地理科学进展
,2004,23(1):89-95 【核心库】
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关键词
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居住区位
;
选择行为
;
模型
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地址
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中国科学院地理科学与资源研究所, 北京, 100101
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1007-6301 |
学科
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自然地理学;建筑科学 |
基金
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国家自然科学基金
;
中国科学院知识创新工程重点项目
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文献收藏号
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CSCD:1805432
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