杭州城市生活质量的定量评价

doi:10.11821/xb200501017

地理学报 ›› 2005, Vol. 60 ›› Issue (1): 151-157.doi: 10.11821/xb200501017

杭州城市生活质量的定量评价

王伟武

浙江大学区域与城市规划系,杭州 310027

收稿日期:2004-06-08 修回日期:2004-10-12 出版日期:2005-01-25 发布日期:2005-01-25
作者简介:王伟武 (1972-), 男, 博士, 讲师。主要从事环境遥感与信息技术应用等方面研究。E-mail: weiwuwang@zju.edu.cn
基金资助:
国家自然科学基金项目 (40201021);浙江省自然科学基金项目 (M403040)

A Quantitative Assessment on the Quality of Life in Hangzhou Based on Landsat/TM and Socioeconomic Data

WANG Weiwu

Dept. of Region and Urban Planning, Yuquan Campus, Zhejiang University. Hangzhou 310027, China

Received:2004-06-08 Revised:2004-10-12 Online:2005-01-25 Published:2005-01-25
Supported by:
National Natural Science Foundation of China, No.40201021; Zhejiang Natural Science Foundation, M403040

摘要/Abstract

摘要：

以乡镇、街道为基本空间统计单元,选取人口密度、住宅基准地价、大专以上学历人口比重为社会经济指标,建设用地比重、NDVI、地表温度为生物物理指标,采用主成分分析和GIS叠加法,定量评价了杭州城市生活质量的空间分布状况。结果表明：NDVI和地表温度 (相关系数r = -0.63)、城镇用地比重 (相关系数r = -0.83) 呈明显的负相关,地表温度和城镇建设用地是影响杭州“绿色环境”两个的最重要因素。NDVI和住宅基准地价 (r = -0.66)、大学毕业生比例 (相关系数r = -0.59)、人口密度 (相关系数r = -0.29) 也呈较明显的负相关,“绿色环境”并未成为高学历人群和高收入家庭的主要决定因素,较繁华或较便利地段仍是高学历人群和高收入家庭选择居住环境的首要选择。高生活质量值 (前20%) 区域主要位于分布于城市中心区,即杭州上城区、下城区及西湖区的部分单元,而郊区的生活质量相对较低。

关键词: Landsat数据, 社会经济数据, 生活质量, 杭州

Abstract:

By taking streets and towns as basic spatial analysis units, the quality of life (QOL) in Hangzhou is quantitatively evaluated by integrating principal component analysis and geographic information system overlay of ranked data layers. The socioeconomic variables such as population density, basic residential land price and percentage of college graduate are selected from socioeconomic data and the biophysical variables including percentage of built-up area, surface temperature (in ^oC) and NDVI value are extracted from Landsat/TM data. The results show that NDVI displays a strong negative correlation with percentage of built-up area (correlation coefficient r = -0.83) and surface temperature (correlation coefficient r = -0.63), so they are regarded as two main influencing factors of "green environment" quality. At the same time, there is also obvious negative correlation between NDVI and basic residential land price (correlation coefficient r = -0.66), percentage of college graduate (correlation coefficient r = -0.59) and population density (correlation coefficient r = -0.29). It means that "green environment" is still not the most important factor for high educated and high income families to choose living environment in Hangzhou, on the contrary, they would like to choose densely populated areas with convenient traffic conditions as their residence. Downtown of Hangzhou, that is, Shangcheng district, Xiacheng district and some units of Xihu district still belongs to higher QOL region (the first 20% of the evaluation value) and suburb appears lower QOL.

Key words: Landsat/TM data, socioeconomic data, the quality of life (QOL), Hangzhou

王伟武. 杭州城市生活质量的定量评价[J]. 地理学报, 2005, 60(1): 151-157.

WANG Weiwu. A Quantitative Assessment on the Quality of Life in Hangzhou Based on Landsat/TM and Socioeconomic Data[J]. Acta Geographica Sinica, 2005, 60(1): 151-157.

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杭州城市生活质量的定量评价

A Quantitative Assessment on the Quality of Life in Hangzhou Based on Landsat/TM and Socioeconomic Data

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