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Research on Passenger’s Travel Mode Choice Behavior Waiting at Bus Station Based on SEM-Logit Integration Model

Author

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  • Yan Han

    (Key Laboratory of Traffic Engineering, College Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China)

  • Wanying Li

    (Key Laboratory of Traffic Engineering, College Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China)

  • Shanshan Wei

    (Key Laboratory of Traffic Engineering, College Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China)

  • Tiantian Zhang

    (Key Laboratory of Traffic Engineering, College Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China)

Abstract

To improve the mode share of public transport and reduce the transition to private transport of passengers waiting at bus station, the mechanism of passengers’ decision-making procedure and influence factors of the travel mode choice were analyzed. Some latent variables such as safety, comfort, convenience, flexibility and economy were selected to reflect the satisfaction degree of passengers on the service level of public transport. Taking Jinan City as an example, the questionnaire of passengers’ travel choice behavior at bus station was designed and carried out. Based on the structure equation model (SEM), the relationship between the satisfaction degree and some latent variables such as safety and comfort was discussed. The SEM method analysis shows that, of the influence level of the latent variables to the service level of public transport, flexibility is the most significant variable affecting passenger’s satisfaction degree followed by safety, convenience, comfort and economy. Travel mode choice model of passengers waiting at bus station was established with an integration approach of SEM and nested logit (NL) model. The SEM-NL integration model results reveal that gender, monthly income, purpose of the trip, travel distance, safety and convenience service level have a significant effect on the choice of the upper model (public transport or private transport). Passenger’s age, vehicle ownership and bus ride frequency have great influence on the choice of the lower mode (ORB: original route bus; ARB: alternative route bus; Taxi; and Shared bike). Sensitivity analysis reveals that the transition probabilities from private transport to public transport can reach the highest point (respectively, 69.85%, 68.84% and 35.51%) when safety service reaches level 4, convenience service reaches level 3, or comfort service reaches level 2, indicating that the safety level equal to 4, convenience level equal to 3 and comfort level equal to 2 are the key threshold to increase the public transport mode share. Some proposals such as ensuring good accessibility of public transport, shortening the transfer distance of different routes, creating a comfortable travel environment and integrating bus ticket system have been put forward for the sustainable development of public transport system.

Suggested Citation

  • Yan Han & Wanying Li & Shanshan Wei & Tiantian Zhang, 2018. "Research on Passenger’s Travel Mode Choice Behavior Waiting at Bus Station Based on SEM-Logit Integration Model," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1996-:d:152333
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    References listed on IDEAS

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    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Qin, Huanmei & Gao, Jianqiang & Zhang, Guohui & Chen, Yanyan & Wu, Songhua, 2017. "Nested logit model formation to analyze airport parking behavior based on stated preference survey studies," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 164-175.
    4. Khandker M. Nurul Habib & Md. Hamid Zaman, 2012. "Effects of incorporating latent and attitudinal information in mode choice models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(5), pages 561-576, June.
    5. Jichao Geng & Ruyin Long & Hong Chen & Ting Yue & Wenbo Li & Qianwen Li, 2017. "Exploring Multiple Motivations on Urban Residents’ Travel Mode Choices: An Empirical Study from Jiangsu Province in China," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    7. Erik Ekstrom & Per Lotstedt & Johan Tysk, 2009. "Boundary Values and Finite Difference Methods for the Single Factor Term Structure Equation," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(3), pages 253-259.
    8. Chris De Gruyter & Graham Currie & Geoff Rose, 2016. "Sustainability Measures of Urban Public Transport in Cities: A World Review and Focus on the Asia/Middle East Region," Sustainability, MDPI, vol. 9(1), pages 1-21, December.
    9. Ken Butcher & Asad Kayani, 2008. "Waiting for service: modelling the effectiveness of service interventions," Service Business, Springer;Pan-Pacific Business Association, vol. 2(2), pages 153-165, June.
    10. Santos, Georgina & Maoh, Hanna & Potoglou, Dimitris & von Brunn, Thomas, 2013. "Factors influencing modal split of commuting journeys in medium-size European cities," Journal of Transport Geography, Elsevier, vol. 30(C), pages 127-137.
    11. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    12. F. Biélen & N. Demoulin, 2007. "Waiting time influence on the satisfaction-loyalty relationship in services," Post-Print hal-00254951, HAL.
    13. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    14. Xiaoshu Cao & Feiwen Liang & Huiling Chen & Yongwei Liu, 2017. "Circuity Characteristics of Urban Travel Based on GPS Data: A Case Study of Guangzhou," Sustainability, MDPI, vol. 9(11), pages 1-21, November.
    15. Yun Wang & Xuedong Yan & Yu Zhou & Qingwan Xue, 2017. "Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling," Sustainability, MDPI, vol. 9(11), pages 1-22, October.
    16. Yáñez, M.F. & Raveau, S. & Ortúzar, J. de D., 2010. "Inclusion of latent variables in Mixed Logit models: Modelling and forecasting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 744-753, November.
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    17. Muhammad Ashraf Javid & Nazam Ali & Syed Arif Hussain Shah & Muhammad Abdullah, 2021. "Travelers’ Attitudes Toward Mobile Application–Based Public Transport Services in Lahore," SAGE Open, , vol. 11(1), pages 21582440209, January.
    18. Xingchuan Wang & Enjian Yao & Shasha Liu, 2018. "Travel Choice Analysis under Metro Emergency Context: Utility? Regret? Or Both?," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
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    20. Moran, Marcel E, 2022. "Are shelters in place? Mapping the distribution of transit amenities via a bus-stop census of San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3gj1t495, Institute of Transportation Studies, UC Berkeley.
    21. Xiaodan Li & Binglei Xie & Di Gong, 2023. "Effectiveness Analysis of Public Transit Pandemic Prevention Strategy Considering Traveler Risk Perception," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    22. Janak Parmar & Gulnazbanu Saiyed & Sanjaykumar Dave, 2021. "Analysis of taste heterogeneity in commuters travel decisions using joint parking and mode choice model: A case from urban India," Papers 2109.01045, arXiv.org, revised Oct 2023.

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