IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v95y2017icp372-380.html
   My bibliography  Save this article

Urban commuters’ valuation of travel time reliability based on stated preference survey: A case study of Beijing

Author

Listed:
  • Kou, Weibin
  • Chen, Xumei
  • Yu, Lei
  • Qi, Yi
  • Wang, Ying

Abstract

Regarding travel mode choices, urban commuters always consider not only travel time but also travel time reliability of different modes. In this study, schedule delays were used for measuring travel reliability. The trip scheduling model and binary logit model were used to estimate the value of travel time reliability. First, by considering the impacts of the income level and time constraint, the trip scheduling models were developed. Then, data for model calibration was collected through street-interview survey based on the stated preference (SP) approach. Finally, the model was calibrated using the collected data and the commuters’ value of travel time reliability were estimated. On the basis of the model results, the influence of income level and time constraint on the value of travel time reliability was analyzed. The results revealed that the value of travel time reliability differed significantly for different income and time constraint levels, and transportation modes. The developed models for travel time reliability analysis can be applied to supporting the travel cost analysis in the future.

Suggested Citation

  • Kou, Weibin & Chen, Xumei & Yu, Lei & Qi, Yi & Wang, Ying, 2017. "Urban commuters’ valuation of travel time reliability based on stated preference survey: A case study of Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 372-380.
    • Handle: RePEc:eee:transa:v:95:y:2017:i:c:p:372-380
    DOI: 10.1016/j.tra.2016.10.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856415302858
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2016.10.008?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. Hollander, Yaron, 2006. "Direct versus indirect models for the effects of unreliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(9), pages 699-711, November.
    2. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    3. Bates, John & Polak, John & Jones, Peter & Cook, Andrew, 0. "The valuation of reliability for personal travel," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 191-229, April.
    4. W. Burke Jackson & James V. Jucker, 1982. "An Empirical Study of Travel Time Variability and Travel Choice Behavior," Transportation Science, INFORMS, vol. 16(4), pages 460-475, November.
    5. Asensio, Javier & Matas, Anna, 2008. "Commuters' valuation of travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1074-1085, November.
    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. Fan Jiang & Lichao Wang & Shiyu Huang, 2022. "Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    2. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    3. Tyndall, Justin, 2021. "The local labour market effects of light rail transit," Journal of Urban Economics, Elsevier, vol. 124(C).
    4. Khan, Zaid Saeed & Menéndez, Mónica, 2023. "Bus splitting and bus holding: A new strategy using autonomous modular buses for preventing bus bunching," Transportation Research Part A: Policy and Practice, Elsevier, vol. 177(C).
    5. Woo, C.K. & Cao, K.H. & Zarnikau, J. & Yip, T.L. & Chow, A., 2021. "What moves Hong Kong's train ridership?," Research in Transportation Economics, Elsevier, vol. 90(C).
    6. PeCoy, Michael D. & Redmond, Michael A., 2023. "Flight reliability during periods of high uncertainty," Journal of Air Transport Management, Elsevier, vol. 106(C).
    7. Michael Redmond & Ann Melissa Campbell & Jan Fabian Ehmke, 2020. "Data-driven planning of reliable itineraries in multi-modal transit networks," Public Transport, Springer, vol. 12(1), pages 171-205, March.
    8. Carroll, Páraic & Caulfield, Brian & Ahern, Aoife, 2017. "Examining the potential for car-shedding in the Greater Dublin Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 440-452.
    9. Li, Haiying & Li, Xian & Xu, Xinyue & Liu, Jun & Ran, Bin, 2018. "Modeling departure time choice of metro passengers with a smart corrected mixed logit model - A case study in Beijing," Transport Policy, Elsevier, vol. 69(C), pages 106-121.
    10. Tyndall, Justin, 2018. "Bus quality improvements and local commuter mode share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 173-183.
    11. Liu, Qiumin & Jiang, Rui & Liu, Ronghui & Zhao, Hui & Gao, Ziyou, 2020. "Travel cost budget based user equilibrium in a bottleneck model with stochastic capacity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 1-37.
    12. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

    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. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    2. Zheng Li & Alejandro Tirachini & David A. Hensher, 2012. "Embedding Risk Attitudes in a Scheduling Model: Application to the Study of Commuting Departure Time," Transportation Science, INFORMS, vol. 46(2), pages 170-188, May.
    3. Li, Baibing, 2019. "Measuring travel time reliability and risk: A nonparametric approach," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 152-171.
    4. Dixit, Vinayak V. & Harb, Rami C. & Martínez-Correa, Jimmy & Rutström, Elisabet E., 2015. "Measuring risk aversion to guide transportation policy: Contexts, incentives, and respondents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 15-34.
    5. Chakrabarti, Sandip & Giuliano, Genevieve, 2015. "Does service reliability determine transit patronage? Insights from the Los Angeles Metro bus system," Transport Policy, Elsevier, vol. 42(C), pages 12-20.
    6. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    7. Kato, Hironori & Kaneko, Yuichiro & Soyama, Yoshihiko, 2014. "Economic benefits of urban rail projects that improve travel-time reliability: Evidence from Tokyo, Japan," Transport Policy, Elsevier, vol. 35(C), pages 202-210.
    8. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
    9. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.
    10. Soriguera, Francesc, 2014. "On the value of highway travel time information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 294-310.
    11. Zhaoqi Zang & Richard Batley & Xiangdong Xu & David Z. W. Wang, 2022. "On the value of distribution tail in the valuation of travel time variability," Papers 2207.06293, arXiv.org, revised Dec 2023.
    12. Stefanie Peer & Erik Verhoef & Jasper Knockaert & Paul Koster & Yin‐Yen Tseng, 2015. "Long‐Run Versus Short‐Run Perspectives On Consumer Scheduling: Evidence From A Revealed‐Preference Experiment Among Peak‐Hour Road Commuters," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 303-323, February.
    13. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    14. van Loon, Ruben & Rietveld, Piet & Brons, Martijn, 2011. "Travel-time reliability impacts on railway passenger demand: a revealed preference analysis," Journal of Transport Geography, Elsevier, vol. 19(4), pages 917-925.
    15. de Jong, Gerard C. & Bliemer, Michiel C.J., 2015. "On including travel time reliability of road traffic in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 80-95.
    16. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    17. Jenelius, Erik, 2012. "The value of travel time variability with trip chains, flexible scheduling and correlated travel times," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 762-780.
    18. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos, 2021. "Travel preferences of public transport users under uneven headways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 61-75.
    19. Batley, Richard & Ibáñez, J. Nicolás, 2012. "Randomness in preference orderings, outcomes and attribute tastes: An application to journey time risk," Journal of choice modelling, Elsevier, vol. 5(3), pages 157-175.
    20. Wijayaratna, Kasun P. & Dixit, Vinayak V., 2016. "Impact of information on risk attitudes: Implications on valuation of reliability and information," Journal of choice modelling, Elsevier, vol. 20(C), pages 16-34.

    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:eee:transa:v:95:y:2017:i:c:p:372-380. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.