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Aug 30, 2023
Study on Job-Housing Spatial and Commuting Characteristics of Employment Centers in Guangzhou, China, Based on Multi-Source Data
Authors: Zebin Sun [email protected], Simin Xiong [email protected], Zirui Chen [email protected], Jiemin Wu [email protected], Jun Chen [email protected], and Yongming Zhao [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
Using Guangzhou, China, as an example, this paper combines big data such as mobile phone signaling data with traditional data including census data and residential questionnaire data and adopts a new means of crowd portrait to analyze the job-housing spatial and commuting characteristics of a typical job center in Guangzhou. The results show that the overall commuting characteristics are closely related to location, industry type, radiation capacity, housing supply and rail transit supply level, etc. There are obvious differences in job-housing spatial and commuting characteristics among different groups of people, so we should pay attention to the matching of the facilities’ supply conditions of job centers and the needs of different groups of people. Accurate depiction of people’s spatial and temporal portrait and different needs based on multi-source data will be an important means to optimize the job-housing relationship and improve residents’ commuting efficiency in Chinese cities.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Analysis (by type)
- Big data
- Business management
- Commute
- Data analysis
- Employment
- Engineering fundamentals
- Information management
- Infrastructure
- Methodology (by type)
- Personnel management
- Practice and Profession
- Rail transportation
- Research methods (by type)
- Spatial analysis
- Spatial data
- Traffic engineering
- Transportation engineering
Authors
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1Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring, and Early Warning, Guangzhou Urban Planning & Design Survey Research Institute, Yuexiu District, Guangzhou, China. Email: [email protected]
2Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring, and Early Warning, Guangzhou Urban Planning & Design Survey Research Institute, Yuexiu District, Guangzhou, China. Email: [email protected]
3Guangzhou Urban Planning & Design Survey Research Institute, Yuexiu District, Guangzhou, China. Email: [email protected]
4Guangzhou Urban Planning & Design Survey Research Institute, Yuexiu District, Guangzhou, China. Email: [email protected]
5Guangzhou Urban Planning & Design Survey Research Institute, Yuexiu District, Guangzhou, China. Email: [email protected]
6Guangzhou Urban Planning & Design Survey Research Institute, Yuexiu District, Guangzhou, China. Email: [email protected]
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