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Exploring the difference between ridership patterns of subway and taxi: Case study in Seoul

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  • Kim, Kyoungok

Abstract

Understanding urban mobility patterns and their connections with different area characteristics is a traditional topic in urban studies, considering its importance for the planning and management of urban facilities, transportation systems, and services. Data recordings about trips using different means of transportation, such as a subway, bus, and taxi have been collected because of the development of IT technologies; such development has motivated various research related to uncovering detailed urban mobility patterns and factors that affect mobility. However, many works usually focus only on a specific means of transportation and fail to present different aspects of ridership patterns for other means of transportation. In this study, subway and taxi data were analyzed simultaneously to uncover factors on human mobility depending on the means of transportation in Seoul. The present research focused on regions nearby subway stations. Data mining techniques, such as clustering and classification, were employed. Different distinct ridership patterns of subway and taxi were detected using clustering; moreover, the difference between ridership patterns and spatial distributions of clusters were examined. A two-step classification analysis was then performed to determine factors that influence ridership patterns.

Suggested Citation

  • Kim, Kyoungok, 2018. "Exploring the difference between ridership patterns of subway and taxi: Case study in Seoul," Journal of Transport Geography, Elsevier, vol. 66(C), pages 213-223.
    • Handle: RePEc:eee:jotrge:v:66:y:2018:i:c:p:213-223
    DOI: 10.1016/j.jtrangeo.2017.12.003
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    2. Song Li & Fei Xue & Chuyu Xia & Jian Zhang & Ao Bian & Yuexi Lang & Jun Zhou, 2022. "A Big Data-Based Commuting Carbon Emissions Accounting Method—A Case of Hangzhou," Land, MDPI, vol. 11(6), pages 1-18, June.
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    5. Ulak, Mehmet Baran & Yazici, Anil & Aljarrah, Mohammad, 2020. "Value of convenience for taxi trips in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 85-100.
    6. Lei Pang & Yuxiao Jiang & Jingjing Wang & Ning Qiu & Xiang Xu & Lijian Ren & Xinyu Han, 2023. "Research of Metro Stations with Varying Patterns of Ridership and Their Relationship with Built Environment, on the Example of Tianjin, China," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    7. Xiong, Ziyue & Jian Li, & Wu, Hangbin, 2021. "Understanding operation patterns of urban online ride-hailing services: A case study of Xiamen," Transport Policy, Elsevier, vol. 101(C), pages 100-118.
    8. Kirtonia, Sajeeb & Sun, Yanshuo, 2022. "Evaluating rail transit's comparative advantages in travel cost and time over taxi with open data in two U.S. cities," Transport Policy, Elsevier, vol. 115(C), pages 75-87.

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