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Using points-of-interest data to estimate commuting patterns in central Shanghai, China

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  • Li, Mengya
  • Kwan, Mei-Po
  • Wang, Fahui
  • Wang, Jun

Abstract

Commuting is an essential part of urban life. Long commutes have negative impacts on individuals and society, such as stress, loss of productivity, traffic congestion and air pollution. However, researchers often face the challenge of lack of data such as commute distance, duration, departure/arrival time, and origins/destinations in countries such as China. This study uses points of interest (POIs) to estimate employment locations, and implements a gravity-based model to estimate interzonal commuting patterns in central Shanghai, China. The results reveal a “busy corridor” in the west of the central city, especially during the morning peak hours. This pattern corresponds well with reported real-time traffic conditions in Shanghai. Our methodology offers a promising alternative for studying commuting patterns when such data are limited.

Suggested Citation

  • Li, Mengya & Kwan, Mei-Po & Wang, Fahui & Wang, Jun, 2018. "Using points-of-interest data to estimate commuting patterns in central Shanghai, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 201-210.
    • Handle: RePEc:eee:jotrge:v:72:y:2018:i:c:p:201-210
    DOI: 10.1016/j.jtrangeo.2018.09.004
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    References listed on IDEAS

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    4. Ying Long & Yimeng Song & Long Chen, 2022. "Identifying subcenters with a nonparametric method and ubiquitous point-of-interest data: A case study of 284 Chinese cities," Environment and Planning B, , vol. 49(1), pages 58-75, January.
    5. Aurelio Hess & Sampson Banflo Narteh-Yoe, 2020. "Productivity, Sustainability, and Economic Growth in Metropolises: Estimates of Long-Time Commuting Effects in Developing Countries," Proceedings of the 16th International RAIS Conference, March 30-31, 2020 004ah, Research Association for Interdisciplinary Studies.
    6. Xiumei Tang & Yu Liu & Yuchun Pan, 2020. "An Evaluation and Region Division Method for Ecosystem Service Supply and Demand Based on Land Use and POI Data," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    7. Gina Porter & Jeff Turner, 2019. "Meeting Young People’s Mobility and Transport Needs: Review and Prospect," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
    8. Pan, Yingjiu & Chen, Shuyan & Niu, Shifeng & Ma, Yongfeng & Tang, Kun, 2020. "Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity," Journal of Transport Geography, Elsevier, vol. 83(C).

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