RESEARCH ARTICLE
Identify social and job disparities in the relationship between job-housing balance and urban commuting using Baidu trajectory big data
Lei Zhou,
Weiye Xiao,
Han Li,
Chen Wang,
Xueqin Wang,
Zhenlong Zheng,
Lei Zhou
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorCorresponding Author
Weiye Xiao
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
Correspondence
Weiye Xiao, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 214000, China.
Email: [email protected]
Search for more papers by this authorHan Li
Department of Geography and Sustainable Development, University of Miami, Coral Gables, Florida, USA
Search for more papers by this authorChen Wang
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorXueqin Wang
School of Sociology and Population Studies, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorZhenlong Zheng
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorLei Zhou,
Weiye Xiao,
Han Li,
Chen Wang,
Xueqin Wang,
Zhenlong Zheng,
Lei Zhou
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorCorresponding Author
Weiye Xiao
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
Correspondence
Weiye Xiao, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 214000, China.
Email: [email protected]
Search for more papers by this authorHan Li
Department of Geography and Sustainable Development, University of Miami, Coral Gables, Florida, USA
Search for more papers by this authorChen Wang
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorXueqin Wang
School of Sociology and Population Studies, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorZhenlong Zheng
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China
Search for more papers by this authorFirst published: 18 January 2024
Abstract
The job-housing relationship is a well-documented topic in urban and economic geography literature, but the disparities in job-housing relationships across workers' sociodemographic statuses have yet to be fully explored. This study utilizes a Baidu trajectory dataset and spatial analysis tools to examine job-housing relationships in Zhuhai, China, taking into account disparities in workers' socioeconomic status and job types. Origin–destination analysis indicates that job-housing relationships for commercial and public service sectors are balanced in the urban core, whereas, for the secondary sector, the relationship is more balanced in the suburban area compared to the central urban area. Network analysis further reveals the presence of self-contained communities for the secondary sector in peripheral areas. We find that high-income workers in the secondary sector experience longer commuting distances, in contrast to their counterparts in the commercial and public service sectors. These insights underscore the significance of considering workers' skills in urban and economic planning.
CONFLICT OF INTEREST STATEMENT
No conflict of interest exists in this article, and the article was approved by all authors for publication.
Open Research
DATA AVAILABILITY STATEMENT
Research data are not shared.
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