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Mode Choice Model for Public Transport with Categorized Latent Variables

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  • Jian Chen
  • Shoujie Li

Abstract

Mode choice model for public transport, which integrates structural equation model (SEM) and discrete choice model (DCM) with categorized latent variables, was presented in this paper. Apart from identifying those important latent variables that affect mode choice for public transport, the objective of this study was also to develop an improved disaggregative model that better explains travel behavior of those decision-makers in choosing public transport. After extensive observations, selective latent variable sets which consist of latent variable components were chosen together with explicit variables in formulating the utility functions. Data collected in Chengdu city, China, were used to calibrate and validate the model. Results showed that the impact of fare on mode choice of public transport escalated in the SEM-DCM integrated model compared with the traditional logit model. The goodness of fit for the integrated model with latent variable sets is 0.201 higher than that of the traditional logit model, which proves that latent variables have an obvious impact on mode choice behavior, and the SEM-DCM integrated model has higher accuracy and stronger explanatory ability. The results are especially helpful for public transport operators to achieve higher mode share split by improving the service quality of public transport in terms of providing more convenience and better service environment for public transport users.

Suggested Citation

  • Jian Chen & Shoujie Li, 2017. "Mode Choice Model for Public Transport with Categorized Latent Variables," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-11, August.
  • Handle: RePEc:hin:jnlmpe:7861945
    DOI: 10.1155/2017/7861945
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    Cited by:

    1. Gupta, Akshay & Bivina, G.R. & Parida, Manoranjan, 2022. "Does neighborhood design matter for walk access to metro stations? An integrated SEM-Hybrid discrete mode choice approach," Transport Policy, Elsevier, vol. 121(C), pages 61-77.
    2. Alimo, Philip Kofi & Agyeman, Stephen & Zankawah, Sanusi Mumuni & Yu, Chunhui & Cheng, Lin & Ma, Wanjing, 2022. "Factors causing low demand for a suburban passenger train in Sekondi-Takoradi," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. Munoz, Claudia & Laniado, Henry, 2021. "Airline choice model for international round-trip flights: The role of travelers’ satisfaction and personality traits," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Guzman, Luis A. & Arellana, Julian & Camargo, José Pablo, 2021. "A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 140-153.
    5. Carolina Silva Costa & Cira Souza Pitombo & Felipe Lobo Umbelino de Souza, 2022. "Travel Behavior before and during the COVID-19 Pandemic in Brazil: Mobility Changes and Transport Policies for a Sustainable Transportation System in the Post-Pandemic Period," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    6. Yueqi Mao & Qiang Mei & Peng Jing & Ye Zha & Ying Xue & Jiahui Huang & Danning Shao & Pan Luo, 2022. "Factors Affecting the Parental Intention of Using AVs to Escort Children: An Integrated SEM–Hybrid Choice Model Approach," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    7. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
    8. Arun Ulahannan & Stewart Birrell, 2022. "Designing Better Public Transport: Understanding Mode Choice Preferences Following the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    9. Risdiyanto Risdiyanto & Ahmad Munawar & Muhammad Zudhy Irawan & Miftahul Fauziah & Prawira Fajarindra Belgiawan, 2022. "Why Do Students Choose Buses over Private Motorcycles and Motorcycle-Based Ride-Sourcing? A Hybrid Choice Approach," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    10. Hongjun Cui & Mingzhi Li & Minqing Zhu & Xinwei Ma, 2023. "Investigating the Impacts of Urban–Rural Bus Service Quality on Rural Residents’ Travel Choices Using an SEM–MNL Integration Model," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    11. Mohiuddin, Hossain & Bhuiya, Md Musfiqur Rahman & Hasan, Md Musleh Uddin & Jamme, Huê-Tâm, 2024. "How individual perceptions of transportation systems influence mode choice for mobility-challenged people: A case study in Dhaka using an integrated choice and latent variable model," Transport Policy, Elsevier, vol. 147(C), pages 259-270.
    12. Jahun Koo & Sangho Choo, 2022. "Identification of Causal Relationship between Attitudinal Factors and Intention to Use Transportation Mode," Sustainability, MDPI, vol. 14(24), pages 1-15, December.

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