Investigate Jobs–Housing Spatial Relationship with Individual-Based Mobility Big Data of Public Housing Tenants: A Case Study in Chongqing, China

Hong Yi, Lu Wang, Qiao Li and Xiang Li
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Hong Yi: Department of Real Estate, East China Normal University, Shanghai 200241, China
Lu Wang: Department of Real Estate, East China Normal University, Shanghai 200241, China
Qiao Li: Information and Archives Center, Chongqing Planning and Design Institute, Chongqing 401147, China
Xiang Li: Key Laboratory of Geographic Information Science (Ministry of Education) and School of Geographic Sciences, East China Normal University, Shanghai 200241, China

Sustainability, 2022, vol. 14, issue 6, 1-18

Abstract: Dwelling and working are two of the most fundamental urban functions. The jobs–housing relationship is pertinent to a city’s spatial and social structure. By using macro-level statistical data and micro-level mobile phone data, this paper innovatively adapts a way to explore the jobs–housing characteristics of public housing tenants in Chongqing, China. It finds that both external and internal factors matter. This study might provide some useful implications for further policy-making on public housing planning, and the research method could be used to examine urban spatial relationships further.

Keywords: jobs–home spatial relationship; public rental housing; mobile phone data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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