地理科学进展 ›› 2004, Vol. 23 ›› Issue (5): 86-93.doi: 10.11820/dlkxjz.2004.05.010

• 城市地理与城市生态环境 • 上一篇    下一篇

利用排序多元Logit模型研究城市居民的 居住区位选择

郑思齐1, 符育明2, 刘洪玉1   

  1. 1. 清华大学房地产研究所, 北京 100084;
    2. 新加坡国立大学房地产系,新加坡 117566
  • 收稿日期:2004-04-01 修回日期:2004-08-01 出版日期:2004-09-25 发布日期:2004-09-25
  • 作者简介:郑思齐(1977-),女(满),博士生。主要研究方向为城市经济学、房地产经济学。 E-mail:zhengsq00@mails.tsinghua.edu.cn
  • 基金资助:

    国家自然科学基金重点课题(79930500)资助。

A Study on Location Choice Decision of Urban Residents Using Ordered Logit Model

ZHENG Siqi1, FU Yuming2, LIU Hongyu1   

  1. 1. Institute of Real Estate Studies, Tsinghua University, Beijing 100084, China;
    2. Department of Real Estate, National University of Singapore, Singapore 117566
  • Received:2004-04-01 Revised:2004-08-01 Online:2004-09-25 Published:2004-09-25

摘要:

本文将北京、上海、广州、武汉和重庆五城市的居住区位调查数据,利用排序多元Logit模型研究城市居民对居住区位的选择行为进行了实证分析。影响区位选择的因素可归纳为家庭层面和城市层面两部分,前者包括收入、工作地点、对环境的偏好等,后者则包括住房价格、城市扩张程度、郊区市政设施便利程度等,实证结果表明这些因素的影响都是显著的,且符合理论预期。收入较高的群体仍喜好选择距离城市中心偏近的居住区位,郊区基础设施和公共服务设施的不完善是制约其向郊区转移的主要因素。这些实证结论能够对城市发展布局和居住用地的规划开发起到决策支持作用。

关键词: 居住区位, 排序多元Logit模型, 区位选择

Abstract:

With rapid growth of housing market in urban China, urban residents have more freedom in location choice, which also demonstrates many new characteristics. Based on the data from a special designed survey of location choice in five large cities of Beijing, Shanghai, Guangzhou, Wuhan and Chongqing, this paper empirically analyzes the location choice behavior of urban residents and the influencing factors using the ordered logit model. The factors influencing location choice can be divided into two groups: household level variables and city level variables. The former group includes income, employment location and preference of environment; and the latter group comprises housing price, suburbanization process and the infrastructure construction in the suburb. The empirical results show that these variables are all significant in the ordered logit model and consistent with theoretical analysis. Higher-income people still prefer to the locations nearer to the city center, and the immature state of infrastructure construction and service in suburb constrains the suburbanization process in Chinese cities. These empirical findings have important implications for policy-makers and developers.

Key words: location choice, ordered logit model, residential location