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Sustainability 2016, 8(2), 122; doi:10.3390/su8020122

Impact of Megacity Jobs-Housing Spatial Mismatch on Commuting Behaviors: A Case Study on Central Districts of Shanghai, China

1
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, China
2
Centre of Comprehensive Transportation Research, Shanghai Urban Planning and Design Research Institute, 331 Tongren Road, Shanghai 200040, China
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 7 November 2015 / Revised: 19 January 2016 / Accepted: 22 January 2016 / Published: 28 January 2016
(This article belongs to the Section Sustainable Urban and Rural Development)
View Full-Text   |   Download PDF [6606 KB, uploaded 4 February 2016]   |  

Abstract

This studyutilized the mobile signaling data to conductthe impact analysis of jobs-housing spatial mismatch on commuting behavior, with eight typical employment centers of three categories selected as the research subjects. Based on the analysis of the characteristics and indictors including commuting distance, accessibilities from cumulative opportunity model etc., this study demonstrates that (a) cumulative percentage of short commuting distance (e.g., less than 3 km) reflects the jobs-housing spatial match between employment centers and their peripheral areas; and (b) combining the indicators of employed population and area covered within a certain space-time range among indictors of accessibility, it is possible to identify the degree of jobs-housing balance and efficiency of the transport system. According to the evaluation radar maps, the authors believe that employment centers could be divided into three categories: those with a gathering power, those with improvable functions, and those with local adjustment potentials. Possible measures including controlling the gathering power of the city centers, improving the function mix and transport facilities, and optimizing the overall local environment, etc. could be made to achieve jobs-housing balance in central districts and their peripheral areas as a whole. Besides, the study, proceeding from the perspective of commuters, suggests that optimization of jobs-housing distribution along banded corridors would be more efficient than those within the traditional region so as to reduce commuting traffic load. View Full-Text
Keywords: jobs-housing balance; spatial mismatch; employment centers; commuting transport; mobile signaling data; accessibility jobs-housing balance; spatial mismatch; employment centers; commuting transport; mobile signaling data; accessibility
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhou, X.; Chen, X.; Zhang, T. Impact of Megacity Jobs-Housing Spatial Mismatch on Commuting Behaviors: A Case Study on Central Districts of Shanghai, China. Sustainability 2016, 8, 122.

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