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Using topic modeling to unravel the nuanced effects of built environment on bicycle-metro integrated usage

Author

Listed:
  • Bi, Hui
  • Gao, Hui
  • Li, Aoyong
  • Ye, Zhirui

Abstract

Bicycle-metro integration, in which bicycling is used as a flexible feeder mode to connect with public transport nodes presents new opportunities for sustainable transportation. It is known that the built environment can influence travel attitudes and choice, yet the empirical evidence for the role of built environment features in shaping the bicycle-metro integration remains rare. Inspired by the idea of text mining, this article is an attempt to demonstrate a data-driven semantic framework to capture key topic-based features of land use and bicycle-metro integrated usage in the vicinity of metro stations as well as their interactions. Latent Dirichlet Allocation topic modeling is analogously implemented here to generate a range of probability-based land use patterns and mobility patterns, and the associations between them are investigated by multivariate linear regression. A case study from Shanghai shows that the mixed land use and diversification of urban functions in the catchment areas of the metro stations can be detected effectively by 11 identified land use patterns. Based on 7 derived mobility patterns, this paper gives a probabilistic explanation to the time-varying properties of the bicycle-metro usage. All of the above thematic topics exhibit notably heterogeneous patterns in spatial distribution. The topic compositions in terms of land use pattern and mobility pattern at the station level reveal the current performance of station areas. Plus, results from the regression analysis confirm that most of the land use patterns that are related to various mixed use have close relationships with mobility patterns of bicycle-metro integration. Yet it is noteworthy that the effects of land use patterns often differ and change over time, namely affecting different mobility patterns. This study gives rise to alternative insights into the synergy between bike sharing and metro, which may help policymakers to develop more targeted TOD strategies.

Suggested Citation

  • Bi, Hui & Gao, Hui & Li, Aoyong & Ye, Zhirui, 2024. "Using topic modeling to unravel the nuanced effects of built environment on bicycle-metro integrated usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    • Handle: RePEc:eee:transa:v:185:y:2024:i:c:s096585642400168x
    DOI: 10.1016/j.tra.2024.104120
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    1. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.
    2. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    3. Marlon Boarnet, 2011. "A Broader Context for Land Use and Travel Behavior, and a Research Agenda," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(3), pages 197-213.
    4. Hamidi, Zahra & Camporeale, Rosalia & Caggiani, Leonardo, 2019. "Inequalities in access to bike-and-ride opportunities: Findings for the city of Malmö," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 673-688.
    5. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    6. Hongyun Si & Jiangang Shi & Wenwen Hua & Long Cheng & Jonas De Vos & Wenxiang Li, 2023. "What influences people to choose ridesharing? An overview of the literature," Transport Reviews, Taylor & Francis Journals, vol. 43(6), pages 1211-1236, November.
    7. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    8. Zhao, De & Ong, Ghim Ping, 2021. "Geo-fenced parking spaces identification for free-floating bicycle sharing system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 49-63.
    9. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).
    10. Shaheen, Susan PhD & Cohen, Adam & Chan, Nelson & Bansal, Apaar, 2020. "Chapter 13 - Sharing strategies: carsharing, shared micromobility (bikesharing and scooter sharing), transportation network companies, microtransit, and other innovative mobility modes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0z9711dw, Institute of Transportation Studies, UC Berkeley.
    11. Li, Chunzhi & Xiao, Wei & Zhang, Dayong & Ji, Qiang, 2021. "Low-carbon transformation of cities: Understanding the demand for dockless bike sharing in China," Energy Policy, Elsevier, vol. 159(C).
    12. Hu, Songhua & Chen, Mingyang & Jiang, Yuan & Sun, Wei & Xiong, Chenfeng, 2022. "Examining factors associated with bike-and-ride (BnR) activities around metro stations in large-scale dockless bikesharing systems," Journal of Transport Geography, Elsevier, vol. 98(C).
    13. Rahman, M. Shafiq-Ur, 2020. "Public bike-sharing schemes (PBSS): Prospects in Bangladesh," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 207-224.
    14. Gan, Zuoxian & Yang, Min & Zeng, Qingcheng & Timmermans, Harry J.P., 2021. "Associations between built environment, perceived walkability/bikeability and metro transfer patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 171-187.
    15. Ma, Xinwei & Ji, Yanjie & Yang, Mingyuan & Jin, Yuchuan & Tan, Xu, 2018. "Understanding bikeshare mode as a feeder to metro by isolating metro-bikeshare transfers from smart card data," Transport Policy, Elsevier, vol. 71(C), pages 57-69.
    16. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Olaru, Doina & Smith, Brett & Taplin, John & Cao, Buyang, 2016. "Enhanced Huff model for estimating Park and Ride (PnR) catchment areas in Perth, WA," Journal of Transport Geography, Elsevier, vol. 54(C), pages 336-348.
    17. Lieshout, Rogier, 2012. "Measuring the size of an airport’s catchment area," Journal of Transport Geography, Elsevier, vol. 25(C), pages 27-34.
    18. Lindsey Conrow & Siân Mooney & Elizabeth A Wentz, 2021. "The association between residential housing prices, bicycle infrastructure and ridership volumes," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 787-808, March.
    19. Li, Wenxiang & Chen, Shawen & Dong, Jieshuang & Wu, Jingxian, 2021. "Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros," Journal of Transport Geography, Elsevier, vol. 92(C).
    20. Zuo, Ting & Wei, Heng & Rohne, Andrew, 2018. "Determining transit service coverage by non-motorized accessibility to transit: Case study of applying GPS data in Cincinnati metropolitan area," Journal of Transport Geography, Elsevier, vol. 67(C), pages 1-11.
    21. Sohrabi, Soheil & Paleti, Rajesh & Balan, Lacramioara & Cetin, Mecit, 2020. "Real-time prediction of public bike sharing system demand using generalized extreme value count model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 325-336.
    22. Lei, Da & Cheng, Long & Wang, Pengfei & Chen, Xuewu & Zhang, Lin, 2024. "Identifying service bottlenecks in public bikesharing flow networks," Journal of Transport Geography, Elsevier, vol. 116(C).
    23. Yanjie Ji & Xinwei Ma & Mingyuan Yang & Yuchuan Jin & Liangpeng Gao, 2018. "Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    24. Wu, Xueying & Lu, Yi & Gong, Yongxi & Kang, Yuhao & Yang, Linchuan & Gou, Zhonghua, 2021. "The impacts of the built environment on bicycle-metro transfer trips: A new method to delineate metro catchment area based on people's actual cycling space," Journal of Transport Geography, Elsevier, vol. 97(C).
    25. Li, Aoyong & Huang, Yizhe & Axhausen, Kay W., 2020. "An approach to imputing destination activities for inclusion in measures of bicycle accessibility," Journal of Transport Geography, Elsevier, vol. 82(C).
    26. Zhao, Pengjun & Li, Shengxiao, 2017. "Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 46-60.
    27. Mortoja, Md. Golam & Yigitcanlar, Tan & Mayere, Severine, 2020. "What is the most suitable methodological approach to demarcate peri-urban areas? A systematic review of the literature," Land Use Policy, Elsevier, vol. 95(C).
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