IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v182y2024ics0965856424000855.html
   My bibliography  Save this article

An analysis of travel behavior and willingness to pay on Express Lanes before and during the COVID-19 pandemic

Author

Listed:
  • Lin, Shihan
  • Spissu, Erika
  • Cirillo, Cinzia

Abstract

In March 2020, governments worldwide implemented various social restriction measures, including lockdowns, to mitigate the spread of the COVID-19 virus. This led to a profound shift in travel behavior, accompanied by a notable reduction in congestion. This paper investigates travel demand on Express Lanes during two time periods: before the pandemic (from January 2020 to mid-March 2020) and during the pandemic (from mid-March 2020 to the end of May 2020). A large data set of trips observed on Express Lanes derived from transponders is combined with vehicle probe measures of travel times and used to estimate the willingness to pay to travel on Express Lanes. The analysis reveals that not all Express Lane assets are equal, with the longer Express Lane demonstrating better performance than the shorter one. Peak hours experienced a more significant impact than off-peak hours, reflecting the heightened flexibility in travelers' schedules during the pandemic. The proposed econometric model quantifies the increase in willingness to pay for Express Lanes, which went up to $36 and $34 per hour on the two assets from the values of $26 and $28 per hour estimated before the pandemic, which can be justified by the observed lower market shares during the pandemic.

Suggested Citation

  • Lin, Shihan & Spissu, Erika & Cirillo, Cinzia, 2024. "An analysis of travel behavior and willingness to pay on Express Lanes before and during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
  • Handle: RePEc:eee:transa:v:182:y:2024:i:c:s0965856424000855
    DOI: 10.1016/j.tra.2024.104037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856424000855
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2024.104037?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. Brownstone, David & Ghosh, Arindam & Golob, Thomas F. & Kazimi, Camilla & Van Amelsfort, Dirk, 2003. "Drivers' willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 373-387, May.
    2. Hetrakul, Pratt & Cirillo, Cinzia, 2013. "Accommodating taste heterogeneity in railway passenger choice models based on internet booking data," Journal of choice modelling, Elsevier, vol. 6(C), pages 1-16.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    4. Brownstone, David & Small, Kenneth A., 2003. "Valuing Time and Reliability: Assessing the Evidence from Road Pricing Demonstrations," University of California Transportation Center, Working Papers qt95z0p35k, University of California Transportation Center.
    5. Cirillo, C. & Axhausen, K.W., 2006. "Evidence on the distribution of values of travel time savings from a six-week diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 444-457, June.
    6. Hetrakul, Pratt & Cirillo, Cinzia, 2014. "A latent class choice based model system for railway optimal pricing and seat allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 68-83.
    7. Currie, Graham & Jain, Taru & Aston, Laura, 2021. "Evidence of a post-COVID change in travel behaviour – Self-reported expectations of commuting in Melbourne," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 218-234.
    8. Brownstone, David & Small, Kenneth A., 2005. "Valuing time and reliability: assessing the evidence from road pricing demonstrations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 279-293, May.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    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. Ozbay, Kaan & Yanmaz-Tuzel, Ozlem, 2008. "Valuation of travel time and departure time choice in the presence of time-of-day pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 577-590, May.
    2. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    3. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    4. Seiji S. C. Steimetz, 2009. "White‐Knuckle Externalities," Economic Inquiry, Western Economic Association International, vol. 47(2), pages 304-316, April.
    5. Roy Brouwer & Solomon Tarfasa, 2020. "Testing hypothetical bias in a framed field experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 343-357, September.
    6. Janson, Michael & Levinson, David, 2014. "HOT or not," Research in Transportation Economics, Elsevier, vol. 44(C), pages 21-32.
    7. Philipp Ströhle & Christoph M. Flath & Johannes Gärttner, 2019. "Leveraging Customer Flexibility for Car-Sharing Fleet Optimization," Service Science, INFORMS, vol. 53(1), pages 42-61, February.
    8. Holgui­n-Veras, Jose & Cetin, Mecit & Xia, Shuwen, 2006. "A comparative analysis of US toll policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 852-871, December.
    9. Wu, Wen-Xiang & Huang, Hai-Jun, 2014. "Finding anonymous tolls to realize target flow pattern in networks with continuously distributed value of time," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 31-46.
    10. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    11. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    12. Shewmake, Sharon & Jarvis, Lovell, 2014. "Hybrid cars and HOV lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 304-319.
    13. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
    14. Aliaksandr Malokin & Giovanni Circella & Patricia L. Mokhtarian, 2021. "Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters," Transportation, Springer, vol. 48(5), pages 2787-2823, October.
    15. Steimetz, Seiji S.C., 2008. "Defensive driving and the external costs of accidents and travel delays," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 703-724, November.
    16. Snarr, Hal W. & Axelsen, Dan, 2007. "Accounting for peak shifting in traditional cost-benefit analysis," MPRA Paper 37060, University Library of Munich, Germany.
    17. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.
    18. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018. "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 70-89.
    19. Andre Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, uncertainty and discrete choice models," Marketing Letters, Springer, vol. 19(3), pages 269-285, December.
      • André de Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, Uncertainty and Discrete Choice Models," THEMA Working Papers 2008-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    20. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.

    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:eee:transa:v:182:y:2024:i:c:s0965856424000855. 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.