IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v42y2015i4p806-816.html
   My bibliography  Save this article

Urban public transport choice behavior analysis and service improvement policy-making: a case study from the metropolitan city, Chengdu, China

Author

Listed:
  • Fei Yang
  • Lin Chen
  • Yang Cheng
  • Zhenxing Yao
  • Xu Zhang

Abstract

As the metropolitan city in Western China, Chengdu has been suffered from serious traffic congestion. The strategy of urban public transport priority was put into agenda to relieve traffic congestion. But the public transport sharing rate is only 27% in Chengdu which is much lower than the developed country. Consequently, it is of great importance to study the measures to improve the service, and provide technical support to the policy-makers. This paper selected the traffic corridor between Southwest Jiaotong University district and downtown as the experiment subject. The orthogonal design was used to generate stated preference questionnaires in order to achieve the reliable parameter estimates. Some variables were used to define the utility of the three alternatives and construct the Logit model. Then, the relationships between the cost, time variable and the choice probability of the public transport were analyzed. According to the results, we found that the orthogonal design does improve the goodness-of-fit. The workability of Multinomial Logit Model was better than Nest Logit model. We also put forward some effective measures to improve the service level of public transit, including reducing the access time to Metro, limiting parking supply to control the car use.

Suggested Citation

  • Fei Yang & Lin Chen & Yang Cheng & Zhenxing Yao & Xu Zhang, 2015. "Urban public transport choice behavior analysis and service improvement policy-making: a case study from the metropolitan city, Chengdu, China," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(4), pages 806-816, April.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:4:p:806-816
    DOI: 10.1080/02664763.2014.986438
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2014.986438
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2014.986438?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tirachini, Alejandro & Hensher, David A. & Jara-Díaz, Sergio R., 2010. "Restating modal investment priority with an improved model for public transport analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1148-1168, November.
    2. Risa Hole, Arne, 2004. "Forecasting the demand for an employee Park and Ride service using commuters' stated choices," Transport Policy, Elsevier, vol. 11(4), pages 355-362, October.
    3. Laura Eboli & Gabriella Mazzulla, 2008. "A Stated Preference Experiment for Measuring Service Quality in Public Transport," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(5), pages 509-523, February.
    4. Burris, Mark W. & Pendyala, Ram M., 2002. "Discrete choice models of traveler participation in differential time of day pricing programs," Transport Policy, Elsevier, vol. 9(3), pages 241-251, July.
    5. Pina, Vicente & Torres, Lourdes, 2001. "Analysis of the efficiency of local government services delivery. An application to urban public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(10), pages 929-944, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bowen Zhou & Jieling Jin & Helai Huang & Yuanchang Deng, 2023. "Exploring the Macro Economic and Transport Influencing Factors of Urban Public Transport Mode Share: A Bayesian Structural Equation Model Approach," Sustainability, MDPI, vol. 15(3), pages 1-11, January.
    2. Zhilong Chen & Lichang Su & Cheng Zhang, 2016. "Research on the Synergy Degree of Aboveground and Underground Space along Urban Rail Transit from the Perspective of Urban Sustainable Development," Sustainability, MDPI, vol. 8(9), pages 1-22, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Jie & Wang, David Z.W. & Meng, Meng, 2018. "Which service is better on a linear travel corridor: Park & ride or on-demand public bus?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 803-818.
    2. Sofia Molander, 2018. "Changing roles and new perspectives: towards market orientation in public transport," Transportation, Springer, vol. 45(6), pages 1811-1825, November.
    3. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    4. Van Malderen, Laurent & Jourquin, Bart & Pecheux, Claude & Thomas, Isabelle & Van De Vijver, Elien & Vanoutrive, Thomas & Verhetsel, Ann & Witlox, Frank, 2013. "Exploring the profession of mobility manager in Belgium and their impact on commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 46-55.
    5. de Oña, Juan & Estévez, Esperanza & de Oña, Rocío, 2021. "How does private vehicle users perceive the public transport service quality in large metropolitan areas? A European comparison," Transport Policy, Elsevier, vol. 112(C), pages 173-188.
    6. Janson, Michael & Levinson, David, 2014. "HOT or not," Research in Transportation Economics, Elsevier, vol. 44(C), pages 21-32.
    7. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    8. 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.
    9. Sampaio, Breno Ramos & Neto, Oswaldo Lima & Sampaio, Yony, 2008. "Efficiency analysis of public transport systems: Lessons for institutional planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 445-454, March.
    10. Moccia, Luigi & Laporte, Gilbert, 2016. "Improved models for technology choice in a transit corridor with fixed demand," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 245-270.
    11. De Borger, Bruno & Proost, Stef, 2015. "The political economy of public transport pricing and supply decisions," Economics of Transportation, Elsevier, vol. 4(1), pages 95-109.
    12. Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2004. "Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment," Transport Policy, Elsevier, vol. 11(1), pages 31-41, January.
    13. Link, Heike, 2019. "The impact of including service quality into efficiency analysis: The case of franchising regional rail passenger serves in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 284-300.
    14. Hensher, David A. & Ho, Chinh & Mulley, Corinne, 2015. "Identifying resident preferences for bus-based and rail-based investments as a complementary buy in perspective to inform project planning prioritisation," Journal of Transport Geography, Elsevier, vol. 46(C), pages 1-9.
    15. Epstein, Bryan & Givoni, Moshe, 2016. "Analyzing the gap between the QOS demanded by PT users and QOS supplied by service operators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 622-637.
    16. Celik, Erkan & Aydin, Nezir & Gumus, Alev Taskin, 2014. "A multiattribute customer satisfaction evaluation approach for rail transit network: A real case study for Istanbul, Turkey," Transport Policy, Elsevier, vol. 36(C), pages 283-293.
    17. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou, 2016. "Designing robust schedule coordination scheme for transit networks with safety control margins," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 495-519.
    18. José Lorenzo & Isabel Sánchez, 2007. "Efficiency evaluation in municipal services: an application to the street lighting service in Spain," Journal of Productivity Analysis, Springer, vol. 27(3), pages 149-162, June.
    19. Kockelman, Kara M. & Kalmanje, Sukumar, 2005. "Credit-based congestion pricing: a policy proposal and the public's response," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 671-690.
    20. Anand Venkatesh & Shivam Kushwaha, 2017. "Measuring technical efficiency of passenger bus companies in India: a non-radial data envelopment analysis approach," OPSEARCH, Springer;Operational Research Society of India, vol. 54(4), pages 706-723, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:japsta:v:42:y:2015:i:4:p:806-816. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.