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Job Accessibility from a Multiple Commuting Circles Perspective Using Baidu Location Data: A Case Study of Wuhan, China

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  • Mingming Cai

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Yaolin Liu

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China)

  • Minghai Luo

    (Wuhan Geomatics Institute, Wuhan 430022, China)

  • Lijun Xing

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Yanfang Liu

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

Abstract

Jobs–housing imbalance is a hot topic in urban study and has obtained many results. However, little research has overcome the limits of administrative boundaries in job accessibility measurement and considered differences in job accessibility within multiple commuting circles. Using Baidu location data, this research proposes a new method to measure job accessibility within multiple commuting circles at the grids’ level. Taking the Wuhan metropolitan area as a case study, the results are as follows: (1) Housing and service jobs are concentrated in the central urban areas along the Yangtze River, whereas industrial jobs are scattered throughout suburbs with double centers. The potential competition for job opportunities is fiercer in the city center than in the suburbs. (2) Job accessibility with different levels shows significant circle-like distribution. People with long- or short-distance potential commutes demand to live close to the groups with the same demand. Residents with long-distance commutes demand to live outside of where those with short-distance commutes demand to reside, regardless of whether their commuting demand is for service or industrial jobs. (3) There are three optimization patterns for transit services to increase job accessibility in various areas. These patterns involve areas with inadequate job opportunities, poor transit services to service jobs, and poor transit services to industrial jobs. Developing current transit facilities or new transit alternatives as well as adding extra jobs near housing could improve jobs–housing imbalance in these areas. Findings from this study could guide the allocation of jobs and housing as well as the development of transport to reduce residents’ commuting burdens and promote transportation equity. The method used in this study can be applied to evaluate jobs–housing imbalance from the perspective of the supply in other metropolises.

Suggested Citation

  • Mingming Cai & Yaolin Liu & Minghai Luo & Lijun Xing & Yanfang Liu, 2019. "Job Accessibility from a Multiple Commuting Circles Perspective Using Baidu Location Data: A Case Study of Wuhan, China," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6696-:d:291197
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    References listed on IDEAS

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    Cited by:

    1. Anzhelika Antipova, 2020. "Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN," Sustainability, MDPI, vol. 12(3), pages 1-21, February.

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