2011Advanced materials researchRequires access

Spatial Analysis on Livable City Public Transportation Satisfaction in Beijing

Jing Chen, Ai Hua Zhou

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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.

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What this paper is about

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.

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Available 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.

Key concepts: Beijing, Ring road, Public transport, Geography, Spatial analysis, Cluster (spacecraft), Regional science, Transport engineering

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