GEOGRAPHICAL RESEARCH ›› 2009, Vol. 28 ›› Issue (5): 1318-1326.doi: 10.11821/yj2009050018

• Urban and Rural Studies • Previous Articles     Next Articles

The spatial characteristics of the livable city satisfaction degree Index in Beijing

MENG Bin1,2, YIN Wei-hong2, ZHANG Jing-qiu2, ZHANG Wen-zhong3   

  1. 1. College of Arts &|Sciences, Beijing Union University, Beijing 100191, China;
    2. Research Center of Urban Development and Environment|CASS|Beijing 100732, China;
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2008-11-12 Revised:2009-05-20 Online:2009-09-25 Published:2009-09-25
  • Supported by:

    北京市教委科技项目(KM200711417013);北京市优秀人才资助项目(20051D0502210);北京市自然科学基金(8073024)

Abstract:

Based on a questionnaire answered by nearly 10000 people in Beijing, the general characteristics and the spatial auto-correlation of the Livable City Satisfaction Degree Index (LCSDI) were analyzed. In this paper, the way of spatial data analysis, such as spatial correlation analysis and spatial interpolation were used. The overall evaluation of LCSDI in Beijing is 63.8, which means that most of the residents are getting comfort from the livable conditions in Beijing. The spatial distribution of the LCSDI shows that residents in the inner city have a better degree than those living in the suburbs. Sub-districts in the suburbs have obvious difference in LCSDI. Those sub-districts that were planned to be huge residential areas have bad conditions on commute, and their LCSDI is lower than that of those sub-districts with comprehensive functions. To get a better understanding of the spatial pattern of the LCSDI, we used the Moran I to measure the spatial autocorrelation. The results also show that there is spatial autocorrelation in the LCSDI. Those indices related with the natural environment have stronger spatial autocorrelation than those indices related with human resources. The Moran I of LCSDI changes in different scales. The analysis of the spatial heterogeneity of LCSDI indicates that there is a decreasing trend in LCSDI from the center of Beijing to the suburban areas, which is the reflection of urban development in Beijing. As the administrative division is a limitation in the analysis of LCSDI, the Ordinary Kriging was used to model the spatial distribution of LCSDI in Beijing. Based on the spatial interpolation of LCSDI, we can find out some obvious spatial characteristics. The northern parts of Beijing have a better degree than the southern parts. Besides some "cool spots" have obviously lower degree of LCSDI than the neighboring areas, and these "cool spots" are mostly located near the nodes of the transportation. At the same time, some special areas, such as Xiangshan Mountain, make the spatial pattern of LCSDI more complicated.

Key words: livable city, satisfaction degree index, spatial correlation, spatial interpolation, Beijing