区域环境

北京市区居住环境的区位优势度分析

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  • 1. 中国科学院地理科学与资源研究所,北京 100101;
    2. 北京联合大学应用文理学院,北京 100083
张文忠 (1966-),男,研究员,中国地理学会会员,主要从事城市与区域经济等领域的研究。 E-mail:zhangwz@igsnrr.ac.cn

收稿日期: 2004-05-20

  修回日期: 2004-09-29

  网络出版日期: 2005-01-25

基金资助

国家自然科学基金项目 (40071030); 中国科学院创新工程重点项目 (KZCX2-SW-318-02)

On Location Advantage Value of Residential Environment (LAVRE) in the Urban and Suburban Areas of Beijing

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  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. College of Arts & Science, Beijing Union University, Beijing 100083, China

Received date: 2004-05-20

  Revised date: 2004-09-29

  Online published: 2005-01-25

Supported by

National Natural Science Foundation of China, No.40071030; Knowledge Innovation Project of CAS, No.KZCX2-SW-318-02

摘要

首先选取服务设施、自然环境、交通状况、区位条件等因子作为北京市城市内部居住环境区位优势度的评价要素;然后构建评价模型,对北京市不同区域居住环境进行区位优势度评价,并分析其空间特征;进一步又研究了居住环境区位优势度与住宅价格的空间关系,以及与居民居住区位选择行为的关系;最后得出结论为,居住环境区位优势度空间变化趋势与商品房价格的空间分异以及居民居住区位选择的空间偏好具有相似性,即居住环境区位优势度高的地区商品房价格也相对较高,也是居民居住空间偏好地区。

本文引用格式

张文忠, 刘旺, 孟斌 . 北京市区居住环境的区位优势度分析[J]. 地理学报, 2005 , 60(1) : 115 -121 . DOI: 10.11821/xb200501013

Abstract

Firstly, this paper selects 7 factors such as service facility, natural environment, traffic situation and location condition to evaluate Location Advantage Value of Residential Environment (LAVRE) in the urban and suburban areas of Beijing. Secondly, it constructs a LAVRE model to evaluate LAVRE of different parts of in Beijing and analyze its spatial characteristics. Thirdly, based on data of average prices of lots of commercial housings, this paper sets up GIS-based spatial distribution of prices to analyze spatial relationship between LAVRE and housing prices, and the relationship between LAVRE and residential location selecting behaviors. Lastly, it draws conclusions as follows: (1) Integrated LAVRE has a trend of decreasing from the center of the city to its periphery, and shows the feature of circle configuration. This trend is similar to the spatial change of the commercial housing prices, which shows a fact that the spatial distribution of commercial housing prices is directly influenced by the residential environment. (2) As a whole, the difference of commercial housing prices between northern and southern Beijing is similar to that of LAVRE. (3) Spatial preferences of residential location selecting are affected by the location advantage of residential environment. That is, northern Beijing where LAVRE is relatively high is the concentrated area of residential location selecting, and the rate of residents who choose southern Beijing, where LAVRE is low relatively, is lower than other parts of Beijing.

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