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A Joint Modeling Analysis of Passengers’ Intercity Travel Destination and Mode Choices in Yangtze River Delta Megaregion of China

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  • Yanli Wang
  • Bing Wu
  • Zhi Dong
  • Xin Ye

Abstract

Joint destination-mode travel choice models are developed for intercity long-distance travel among sixteen cities in Yangtze River Delta Megaregion of China. The model is developed for all the trips in the sample and also by two different trip purposes, work-related business and personal business trips, to accommodate different time values and attraction factors. A nested logit modeling framework is applied to model trip destination and mode choices in two different levels, where the lower level is a mode choice model and the upper level is a destination choice model. The utility values from various travel modes in the lower level are summarized into a composite utility, which is then specified into the destination choice model as an intercity impedance factor. The model is then applied to predict the change in passenger number from Shanghai to Yangzhou between scenarios with and without high-speed rail service to demonstrate the applicability. It is helpful for understanding and modeling megaregional travel destination and mode choice behaviors in the context of developing country.

Suggested Citation

  • Yanli Wang & Bing Wu & Zhi Dong & Xin Ye, 2016. "A Joint Modeling Analysis of Passengers’ Intercity Travel Destination and Mode Choices in Yangtze River Delta Megaregion of China," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, July.
    • Handle: RePEc:hin:jnlmpe:5293210
    DOI: 10.1155/2016/5293210
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    Cited by:

    1. 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).
    2. Emami, Maryam & Haghshenas, Hossein & Talebian, Ahmadreza & Kermanshahi, Shahab, 2022. "A game theoretic approach to study the impact of transportation policies on the competition between transit and private car in the urban context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 320-337.

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