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Estimating spatial patterns of commute mode preference in Beijing

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  • Jiaoe Wang
  • Jie Huang
  • Fangye Du

Abstract

In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute mode preference by taxi at a fine resolution in Beijing. This work indicates how the preference for taxis can be seen in the north-east of the inner city, but not around employment centres. Equally, a complementary relationship is found between a preference for taxis and public transit that provides useful insights into modal choice at an intra-urban scale. These findings are useful in urban planning and transport management.

Suggested Citation

  • Jiaoe Wang & Jie Huang & Fangye Du, 2020. "Estimating spatial patterns of commute mode preference in Beijing," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 7(1), pages 382-386, January.
    • Handle: RePEc:taf:rsrsxx:v:7:y:2020:i:1:p:382-386
    DOI: 10.1080/21681376.2020.1806104
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    Cited by:

    1. Yang Cao & Linxing Wang & Hao Wu & Shuqi Yan & Shuwen Shen, 2023. "Identification and Mechanism of Residents’ Regional Non-Commuting Flow Patterns Based on the Gradient Boosting Decision Tree Model: A Case Study of the Shanghai Metropolitan Area," Land, MDPI, vol. 12(9), pages 1-21, August.
    2. Jiaoe Wang & Yanan Li & Jingjuan Jiao & Haitao Jin & Fangye Du, 2023. "Bus ridership and its determinants in Beijing: A spatial econometric perspective," Transportation, Springer, vol. 50(2), pages 383-406, April.

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