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How do access and spatial dependency shape metro passenger flows

Author

Listed:
  • Cui, Mengying
  • Yu, Lijie
  • Nie, Shaoyu
  • Dai, Zhe
  • Ge, Ying-en
  • Levinson, David

Abstract

Spatial imbalances in metro ridership significantly reduce the overall efficiency of metro system. Understanding the factors that contribute to metro ridership is essential for developing targeted strategies to improve ridership equity and overall system performance. This study introduces novel spatial dependency indices based on spatial weight matrices and land-use function complementarity to explore how access and inter-station spatial dependency affect metro ridership, focusing on station-level boardings and alightings, as well as station-to-station flows. Using the data from the Xi'an Metro, the findings indicate that access to employment and residence from metro stations considerably enhances station-level boardings and alightings. Walking access emerges as a critical factor, especially in the context of station-to-station travel. Furthermore, the analysis reveals a complementarity feature within the metro system, where increases in boardings (alightings) at one station leads to a higher demand at others. Stations that serve areas with complementary land-use functions tend to attract more travel between them. These findings emphasize the critical role of access and spatial dependency in enhancing transit planning and system efficiency.

Suggested Citation

  • Cui, Mengying & Yu, Lijie & Nie, Shaoyu & Dai, Zhe & Ge, Ying-en & Levinson, David, 2025. "How do access and spatial dependency shape metro passenger flows," Journal of Transport Geography, Elsevier, vol. 123(C).
    • Handle: RePEc:eee:jotrge:v:123:y:2025:i:c:s0966692324002783
    DOI: 10.1016/j.jtrangeo.2024.104069
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    as
    1. Kuby, Michael & Barranda, Anthony & Upchurch, Christopher, 2004. "Factors influencing light-rail station boardings in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 223-247, March.
    2. David J Giacomin & David M Levinson, 2015. "Road network circuity in metropolitan areas," Environment and Planning B, , vol. 42(6), pages 1040-1053, November.
    3. Cummings, Christopher & Mahmassani, Hani, 2022. "Does intercity rail station placement matter? Expansion of the node-place model to identify station location impacts on Amtrak ridership," Journal of Transport Geography, Elsevier, vol. 99(C).
    4. Hao Wu & David Levinson & Andrew Owen, 2021. "Commute mode share and access to jobs across US metropolitan areas," Environment and Planning B, , vol. 48(4), pages 671-684, May.
    5. Vandenbulcke, Grégory & Steenberghen, Thérèse & Thomas, Isabelle, 2009. "Mapping accessibility in Belgium: a tool for land-use and transport planning?," Journal of Transport Geography, Elsevier, vol. 17(1), pages 39-53.
    6. Mengying Cui & David Levinson, 2018. "Accessibility analysis of risk severity," Transportation, Springer, vol. 45(4), pages 1029-1050, July.
    7. Yuxin He & Yang Zhao & Kwok Leung Tsui, 2021. "An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership," Transportation, Springer, vol. 48(3), pages 1185-1216, June.
    8. David Levinson & Hao Wu, 2020. "Towards a general theory of access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    9. R W Vickerman, 1974. "Accessibility, Attraction, and Potential: A Review of Some Concepts and Their Use in Determining Mobility," Environment and Planning A, , vol. 6(6), pages 675-691, December.
    10. Li, Shaoying & Lyu, Dijiang & Huang, Guanping & Zhang, Xiaohu & Gao, Feng & Chen, Yuting & Liu, Xiaoping, 2020. "Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 82(C).
    11. Levine, Jonathan & Merlin, Louis & Grengs, Joe, 2017. "Project-level accessibility analysis for land-use planning," Transport Policy, Elsevier, vol. 53(C), pages 107-119.
    12. 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.
    13. Owen, Andrew & Levinson, David M., 2015. "Modeling the commute mode share of transit using continuous accessibility to jobs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 110-122.
    14. Mengying Cui & David Levinson, 2020. "Primal and Dual Access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    15. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    16. Wu, Hao & Lee, Jinwoo (Brian) & Levinson, David, 2023. "The node-place model, accessibility, and station level transit ridership," Journal of Transport Geography, Elsevier, vol. 113(C).
    17. Liu, Xiang & Chen, Xiaohong & Tian, Mingshu & De Vos, Jonas, 2023. "Effects of buffer size on associations between the built environment and metro ridership: A machine learning-based sensitive analysis," Journal of Transport Geography, Elsevier, vol. 113(C).
    18. Ding, Chuan & Cao, Xinyu & Liu, Chao, 2019. "How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds," Journal of Transport Geography, Elsevier, vol. 77(C), pages 70-78.
    19. Su, Shiliang & Zhao, Chong & Zhou, Hao & Li, Bozhao & Kang, Mengjun, 2022. "Unraveling the relative contribution of TOD structural factors to metro ridership: A novel localized modeling approach with implications on spatial planning," Journal of Transport Geography, Elsevier, vol. 100(C).
    20. Alireza Ermagun & David M Levinson, 2019. "Development and application of the network weight matrix to predict traffic flow for congested and uncongested conditions," Environment and Planning B, , vol. 46(9), pages 1684-1705, November.
    21. Gutiérrez, Javier & Cardozo, Osvaldo Daniel & García-Palomares, Juan Carlos, 2011. "Transit ridership forecasting at station level: an approach based on distance-decay weighted regression," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1081-1092.
    22. Mengyao Ren & Yaoyu Lin & Meihan Jin & Zhongyuan Duan & Yongxi Gong & Yu Liu, 2020. "Examining the effect of land-use function complementarity on intra-urban spatial interactions using metro smart card records," Transportation, Springer, vol. 47(4), pages 1607-1629, August.
    23. Moniruzzaman, Md & Páez, Antonio, 2012. "Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters," Journal of Transport Geography, Elsevier, vol. 24(C), pages 198-205.
    24. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
    25. Du, Qiang & Zhou, Yuqing & Huang, Youdan & Wang, Yalei & Bai, Libiao, 2022. "Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership," Journal of Transport Geography, Elsevier, vol. 102(C).
    26. Cui, Boer & DeWeese, James & Wu, Hao & King, David A. & Levinson, David & El-Geneidy, Ahmed, 2022. "All ridership is local: Accessibility, competition, and stop-level determinants of daily bus boardings in Portland, Oregon," Journal of Transport Geography, Elsevier, vol. 99(C).
    27. Jun, Myung-Jin & Choi, Keechoo & Jeong, Ji-Eun & Kwon, Ki-Hyun & Kim, Hee-Jae, 2015. "Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul," Journal of Transport Geography, Elsevier, vol. 48(C), pages 30-40.
    28. Páez, Antonio & Moniruzzaman, Md. & Bourbonnais, Pierre-Leo & Morency, Catherine, 2013. "Developing a web-based accessibility calculator prototype for the Greater Montreal Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 103-115.
    29. Li, Mengya & Kwan, Mei-Po & Hu, Wenyan & Li, Rui & Wang, Jun, 2023. "Examining the effects of station-level factors on metro ridership using multiscale geographically weighted regression," Journal of Transport Geography, Elsevier, vol. 113(C).
    30. Manman Li & Mengying Cui & David Levinson, 2022. "Job and Worker Density and Transit Network Dynamics," Working Papers 2021-09, University of Minnesota: Nexus Research Group.
    31. Levinson, David & El-Geneidy, Ahmed, 2009. "The minimum circuity frontier and the journey to work," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 732-738, November.
    32. Sungyup Chung & Geoffrey J.D. Hewings, 2015. "Competitive and Complementary Relationship between Regional Economies: A Study of the Great Lake States," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(2), pages 205-229, June.
    33. Wang, Jing & Wan, Feng & Dong, Chunjiao & Yin, Chaoying & Chen, Xiaoyu, 2023. "Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns," Journal of Transport Geography, Elsevier, vol. 109(C).
    34. Merlin, Louis A. & Singer, Matan & Levine, Jonathan, 2021. "Influences on transit ridership and transit accessibility in US urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 63-73.
    35. Zhu, Le & Shi, Fei, 2022. "Spatial and social inequalities of job accessibility in Kunshan city, China: Application of the Amap API and mobile phone signaling data," Journal of Transport Geography, Elsevier, vol. 104(C).
    36. Mengying Cui & David Levinson, 2020. "Multi-Activity Access: How Activity Choice Affects Opportunity," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    37. Merlin, Louis A. & Hu, Lingqian, 2017. "Does competition matter in measures of job accessibility? Explaining employment in Los Angeles," Journal of Transport Geography, Elsevier, vol. 64(C), pages 77-88.
    38. Gan, Zuoxian & Feng, Tao & Wu, Yunteng & Yang, Min & Timmermans, Harry, 2019. "Station-based average travel distance and its relationship with urban form and land use: An analysis of smart card data in Nanjing City, China," Transport Policy, Elsevier, vol. 79(C), pages 137-154.
    39. Kelobonye, Keone & Zhou, Heng & McCarney, Gary & Xia, Jianhong (Cecilia), 2020. "Measuring the accessibility and spatial equity of urban services under competition using the cumulative opportunities measure," Journal of Transport Geography, Elsevier, vol. 85(C).
    40. Gao, Fan & Yang, Linchuan & Han, Chunyang & Tang, Jinjun & Li, Zhitao, 2022. "A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership," Journal of Transport Geography, Elsevier, vol. 105(C).
    41. Jinkyung Choi & Yong Lee & Taewan Kim & Keemin Sohn, 2012. "An analysis of Metro ridership at the station-to-station level in Seoul," Transportation, Springer, vol. 39(3), pages 705-722, May.
    42. Jinbao Zhao & Wei Deng & Yan Song & Yueran Zhu, 2014. "Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models," Transportation, Springer, vol. 41(1), pages 133-155, January.
    43. Sung, Hyungun & Choi, Keechoo & Lee, Sugie & Cheon, SangHyun, 2014. "Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership," Journal of Transport Geography, Elsevier, vol. 36(C), pages 134-140.
    44. Iseki, Hiroyuki & Liu, Chao & Knaap, Gerrit, 2018. "The determinants of travel demand between rail stations: A direct transit demand model using multilevel analysis for the Washington D.C. Metrorail system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 635-649.
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