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Passenger Travel Path Selection Based on the Characteristic Value of Transport Services

Author

Listed:
  • Peiwen Zhang

    (School of Economics and Management, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Rui Ding

    (School of Airport, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Wenke Zhao

    (School of Airport, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Liaodong Zhang

    (Scientific Research Department, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Hong Sun

    (Scientific Base of Flying Technology and Safety, Civil Aviation Flight University of China, Guanghan 618307, China)

Abstract

In this paper, we establish a generalized cost function for passenger travel based on the characteristic value of transportation services, and we select high-speed rail, air, and air–rail as the selection branches in order to build a passenger travel decision-making model combined with a logit model to analyze the preference for passenger travel choices. The results show that, within the transportation network of the Chengdu–Chongqing economic circle, passengers are more likely to take the high-speed rail option directly, followed by air–rail and air options, and these results are concentrated within a transportation distance range of less than 1000 km, 1000–1200 km, and more than 1200 km, respectively. Among them, the OD travel routes comprised Chengdu and Yibin as the transit nodes of the combined travel account for more than 50%, which exhibits the high strategic development potential of air–rail combined transportation. Ridge regression analyses show that ticket price, quickness, convenience, and comfort influence the probability related to travelers’ travel choice at varying degrees. The elasticity values of the fatigue recovery time, travel time, and time value per capita for high-speed rail are much greater than the other two travel modes, indicating that these three factors have a high impact on the travel choice behavior of high-speed rail.

Suggested Citation

  • Peiwen Zhang & Rui Ding & Wenke Zhao & Liaodong Zhang & Hong Sun, 2022. "Passenger Travel Path Selection Based on the Characteristic Value of Transport Services," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:636-:d:1019808
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    References listed on IDEAS

    as
    1. 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.
    2. Du, Muqing & Chen, Anthony, 2022. "Sensitivity analysis for transit equilibrium assignment and applications to uncertainty analysis," Transportation Research Part B: Methodological, Elsevier, vol. 157(C), pages 175-202.
    3. Luis Cadarso & Vikrant Vaze & Cynthia Barnhart & Ángel Marín, 2017. "Integrated Airline Scheduling: Considering Competition Effects and the Entry of the High Speed Rail," Transportation Science, INFORMS, vol. 51(1), pages 132-154, February.
    4. Feng, Yingzi & Zhao, Jiandong & Sun, Huijun & Wu, Jianjun & Gao, Ziyou, 2022. "Choices of intercity multimodal passenger travel modes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    5. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    6. Chulin Pan & Huayi Wang & Hongpeng Guo & Hong Pan, 2021. "How Do the Population Structure Changes of China Affect Carbon Emissions? An Empirical Study Based on Ridge Regression Analysis," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    7. Chai, Jian & Zhou, Youhong & Zhou, Xiaoyang & Wang, Shouyang & Zhang, Zhe George & Liu, Zenghui, 2018. "Analysis on shock effect of China’s high-speed railway on aviation transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 108(C), pages 35-44.
    8. Yeun-Touh Li & Jan-Dirk Schmöcker, 2017. "Adaptation patterns to high speed rail usage in Taiwan and China," Transportation, Springer, vol. 44(4), pages 807-830, July.
    9. Li, Xue-yan & Li, Xue-mei & Li, Xue-wei & Qiu, He-ting, 2017. "Multi-agent fare optimization model of two modes problem and its analysis based on edge of chaos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 405-419.
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