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Modeling traveler mode choice behavior of a new high-speed rail corridor in China

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  • Yuanqing Wang
  • Lei Li
  • Li Wang
  • Adrian Moore
  • Samuel Staley
  • Zongzhi Li

Abstract

This study examines mode choice behavior for intercity business and personal/recreational trips. It uses multinomial logit and nested logit methods to analyze revealed preference data provided by travelers along the Yong-Tai-Wen multimodal corridor in Zhejiang, China. Income levels are found to be positively correlated with mode share increases for high-speed rail (HSR), expressway-based bus, and auto modes, while travel time and trip costs are negatively correlated with modal shift. Longer distance trips trigger modal shifts to HSR services but prevent modal shift to expressway-based auto use due to escalation of fuel cost and toll charges. Travelers are less elastic in their travel time and cost for trips by nonexpressway-based auto use modes. The magnitude of elasticity for travel time is higher than trip costs for business trips and lower for personal/recreational trips. The study provides some policy suggestions for transportation planners and decision-makers.

Suggested Citation

  • Yuanqing Wang & Lei Li & Li Wang & Adrian Moore & Samuel Staley & Zongzhi Li, 2014. "Modeling traveler mode choice behavior of a new high-speed rail corridor in China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(5), pages 466-483, July.
    • Handle: RePEc:taf:transp:v:37:y:2014:i:5:p:466-483
    DOI: 10.1080/03081060.2014.912420
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    Cited by:

    1. Song, Fangqing & Hess, Stephane & Dekker, Thijs, 2018. "Accounting for the impact of variety-seeking: Theory and application to HSR-air intermodality in China," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 99-111.
    2. Huang, Yan & Zong, Huiming, 2022. "The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services," Transport Policy, Elsevier, vol. 120(C), pages 89-103.
    3. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    4. Chen, Lin & Yao, Enjian & Yang, Yang & Pan, Long & Liu, ShaSha, 2024. "Understanding passengers' intermodal travel behavior to improve air-rail service: A case study of Beijing-Tianjin-Hebei urban agglomeration," Journal of Air Transport Management, Elsevier, vol. 118(C).
    5. Zhou, Heng & Norman, Richard & Kelobonye, Keone & Xia, Jianhong (Cecilia) & Hughes, Brett & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Market segmentation approach to investigate existing and potential aviation markets," Transport Policy, Elsevier, vol. 99(C), pages 120-135.
    6. Liu, Xize & Chen, Wendong & Chen, Xuewu & Chen, Jingxu & Cheng, Long, 2023. "Analyzing sustainable competitiveness of inter-city coach from the impact of high-speed railway opening in Jiangsu Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    7. Jing Yu Pan, 2024. "High-Speed Rail in the US—Mode Choice Decision and Impact of COVID-19," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    8. Thembani Moyo & Alain Y Kibangou & Walter Musakwa, 2021. "Societal context-dependent multi-modal transportation network augmentation in Johannesburg, South Africa," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-25, April.
    9. Egger, Peter H. & Loumeau, Gabriel & Loumeau, Nicole, 2023. "China's dazzling transport-infrastructure growth: Measurement and effects," Journal of International Economics, Elsevier, vol. 142(C).
    10. Graziano Abrate & Giampaolo Viglia & Javier Sanchez García & Santiago Forgas-Coll, 2016. "Price Competition within and between Airlines and High-Speed Trains: The Case of the Milan—Rome Route," Tourism Economics, , vol. 22(2), pages 311-323, April.
    11. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    12. Pan, Haixiao & Gao, Ya & Shen, Qing & Moudon, Anne Vernez & Tuo, Jianyi & Habib, Khandker Nurul, 2023. "Does high-speed rail mitigate peak vacation car traffic to tourist city? Evidence from China," Transport Policy, Elsevier, vol. 143(C), pages 93-105.
    13. Isler, Cassiano Augusto & Blumenfeld, Marcelo & Caldeira, Gabriel Pereira & Roberts, Clive, 2024. "Long-Distance railway mode choice in Brazil: Evidence from a discrete choice experiment," Research in Transportation Economics, Elsevier, vol. 104(C).
    14. Espinosa-Aranda, José Luis & García-Ródenas, Ricardo & Ramírez-Flores, María del Carmen & López-García, María Luz & Angulo, Eusebio, 2015. "High-speed railway scheduling based on user preferences," European Journal of Operational Research, Elsevier, vol. 246(3), pages 772-786.
    15. Rong Cao & Xuehui Chen & Jianmin Jia & Hui Zhang, 2023. "Uncovering Equity and Travelers’ Behavior on the Expressway: A Case Study of Shandong, China," Sustainability, MDPI, vol. 15(11), pages 1-19, May.

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