Spatial Analysis on Livable City Public Transportation Satisfaction in Beijing

Abstract:

Based on a questionnaire survey responded by nearly 11000 people in Beijing, from a perspective of livable city, the general characteristics and the spatial autocorrelation of the public transportation satisfaction were analyzed. The overall evaluation of public transportation satisfaction in Beijing is 67.31, indicating that more great efforts should be paid to improve the public transportation satisfaction level in construction of the livable Beijing. The spatial structure of Livable City Public Transportation Satisfaction shows a “hot banding” distribution pattern, accompanying with 3 “cool spots”. To get a better understanding of the spatial pattern of the public transportation satisfaction, we used the Moran’s I and LISA to measure the spatial autocorrelation. The results illustrate that the public evaluation on the public transportation is spatial dependent and has tendency toward clustering. The cluster of areas with High-High association is located in the south of Beijing near Chang’an Avenue, highlighting and reshaping like a hollow circle, while the cluster of areas with Low-Low association is located in northwest Beijing and outside of the 4th ring road. Overall, the LCPTS in the north of Beijing lags obviously behind the overall level. The phenomenon is mainly due to the long-term accumulation of urban development.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 2263-2270
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.2263
• Online since: November 2011
• Authors: Jing Chen, Ai Hua Zhou
• Keywords: Geospatial Information System (GIS), Livable City, Public Transportation Satisfaction, Spatial Correlation

References

[1] Cities Plus, A Sustainable Urban System: The Long-term Plan for Greater Vancouver, (2003).

[2] A Palej. Architecture for, by and with Children: A Way to Teach Livable City[C]. International Making Cities Livable Conference, Vienna, Austria, (2000).

[3] HAHLWEG D. The City as a Family[C]. International Making Cities Livable Conferences. California, USA: Gondolier Press.

[4] CASELLATI A, The Nature of Livability [M], Making Cities Livable, International Making Cities Livable Conferences, (1997).

[5] P Evansed. Livable Cities? Urban Struggles for Livelihood and Sustainability[M]. Berkeley: University of California Press, (2002).

[6] WU Liangyong, Zhou Ganzhi, Lin Zhiqun. Today and Tomorrow of the Construction Activities in China. Beijing[M]. China City Press, 1994: 18.

[7] WU Liangyong. Introduction to Human Environments[M]. Beijing: China Building Industry Press, 2001: 20.

[8] YEN Zhi. On the Methodological Thinking of Building the Science of Human Settlement Environment[J]. City Planning Review, 1999, 23 (6): 10-14.

[9] NING Yemin, ZHA Zhiqiang. The Study of Evaluation and optimization for Human Settlement in the Metropolitan Areas Take Shanghai as an Example[J]. City Planning Review, 1999, 23 (6): 15-20.

[10] LI Wangming, YE Xinyue. The Assessment of Urban Human Settlements-a Case Study of Hangzhou[J]. Economic Geography, 1999, 19 (2): 38-43.

[11] LI Xueming, JIANG Bin. Study on Sustainable Development of Human Settlement-in the Case of Dalian[J]. China Population, Resources and Environment, 2002, 12 (6): 129-131.

[12] WANG Maojun, ZHANG Xuexia, ZHANG Wenzhong. An Evaluation of Spatial Structure of Urban Residential Environment in Dalian: Based on Area Source Model[J]. Geographical Research, 2002, 21 (6): 87-96.

[13] ZHANG Wenzhong, LIU Wang, MENG Bin. On Location Advantage Value of Residential Environment (LAVRE) in the Urban and Suburban Areas of Beijing[J]. Acta Geographica Sinica, 2005, 60 (1): 115-121.

[14] WANG Xingzhong. The Research on Structure of Chinese Urban Life Space[M]. Beijing Scientific Press, (2004).

[15] LI Liping, GUO Baohua. A Study on the Theory of the Livable City[J]. Urban Studies, 2006, 2 (13): 76-80.

[16] ZHANG Wenzhong. Housing Spatial Distribution and Residents Preference on Housing Location in Beijing[J]. Geographical Research, 2003, 22 (6): 751-759.

[17] TOBLER W A. A Computer Movie Simulating Urban Growth in the Detroit Region[J]. Economic Geography, 1970, 46(2): 234-240.

DOI: 10.2307/143141

[18] AD Cliff, J K Ord. Spatial and Temporal Analysis: Autocorrelation in Space and Time[J]. Quantitative Geography: A British View, 1981, 104-110.

[19] ANSELIN, L. Local Indicators of Spatial Association – LISA[J]. Geographical Analysis, 1995, 27: 93-115.

DOI: 10.1111/j.1538-4632.1995.tb00338.x