IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v178y2023ics0965856423003026.html
   My bibliography  Save this article

Covid-19, intentions to change modes, and how they materialized - Results from a random survey of Californians

Author

Listed:
  • Khatun, Farzana
  • Saphores, Jean-Daniel

Abstract

Drawing insights from a random survey of Californians conducted in May 2021, we explore how the COVID-19 pandemic impacted Californians’ preferences for various transportation modes and analyze obstacles to increasing transit use. As COVID-19 disrupted habits and created health concerns for shared modes, many Californians expressed a desire to use transit and transportation network companies less after the pandemic, while intentions for driving were mixed. However, intentions to drive less did not materialize, possibly because the pandemic reinforced Californians’ car use habits, and many firms have been urging their employees to return to the office. Without new incentives and measures that increase the generalized cost of driving, the future of transit appears grim, as the intentions of the 28.9% of Californians 18 and over who intended to use transit less post-COVID (versus only 7.3% who wanted to use it more) appear to be realized. Hispanics, choice riders, and those who intend to telecommute more post-pandemic stated that they would use transit less. A silver lining is the substantial uptick in intentions to walk and bike more (25.9%), with just 8% of Californians stating the opposite. The main reasons Californians would not take transit post-pandemic do not include health concerns and are the same in 2021 as in 2017: a personal vehicle offers more flexibility and convenience. Younger adults, people with more education, and affluent households (the so-called “choice riders”) also deplore transit’s insufficient reach and frequency. Our work underscores the intricate interplay between the pandemic, transportation intentions, and actual behavior.

Suggested Citation

  • Khatun, Farzana & Saphores, Jean-Daniel, 2023. "Covid-19, intentions to change modes, and how they materialized - Results from a random survey of Californians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
  • Handle: RePEc:eee:transa:v:178:y:2023:i:c:s0965856423003026
    DOI: 10.1016/j.tra.2023.103882
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856423003026
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2023.103882?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. Malhotra, Neil & Krosnick, Jon A., 2007. "The Effect of Survey Mode and Sampling on Inferences about Political Attitudes and Behavior: Comparing the 2000 and 2004 ANES to Internet Surveys with Nonprobability Samples," Political Analysis, Cambridge University Press, vol. 15(3), pages 286-323, July.
    2. Nuworsoo, Cornelius Kofi, 2004. "Deep Discount Group Pass Programs as Instruments for Increasing Transit Revenue and Ridership," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt55z3t7fh, Institute of Transportation Studies, UC Berkeley.
    3. Alfonso Orro & Margarita Novales & Ángel Monteagudo & José-Benito Pérez-López & Miguel R. Bugarín, 2020. "Impact on City Bus Transit Services of the COVID–19 Lockdown and Return to the New Normal: The Case of A Coruña (Spain)," Sustainability, MDPI, vol. 12(17), pages 1-30, September.
    4. Wu, Xinyi & Cao, Jason & Huting, Joel, 2018. "Using three-factor theory to identify improvement priorities for express and local bus services: An application of regression with dummy variables in the Twin Cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 184-196.
    5. Lubitow, Amy & Abelson, Miriam J. & Carpenter, Erika, 2020. "Transforming mobility justice: Gendered harassment and violence on transit," Journal of Transport Geography, Elsevier, vol. 82(C).
    6. Fan, Yingling & Guthrie, Andrew & Levinson, David, 2016. "Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 251-264.
    7. Nuworsoo, Cornelius Kofi, 2004. "Deep Discount Group Pass Programs as Instruments for Increasing Transit Revenue and Ridership," University of California Transportation Center, Working Papers qt7463z622, University of California Transportation Center.
    8. Junsik Park & Gurjoong Kim, 2021. "Risk of COVID-19 Infection in Public Transportation: The Development of a Model," IJERPH, MDPI, vol. 18(23), pages 1-16, December.
    9. Parker, Madeleine E.G. & Li, Meiqing & Bouzaghrane, Mohamed Amine & Obeid, Hassan & Hayes, Drake & Frick, Karen Trapenberg & Rodríguez, Daniel A. & Sengupta, Raja & Walker, Joan & Chatman, Daniel G., 2021. "Public transit use in the United States in the era of COVID-19: Transit riders’ travel behavior in the COVID-19 impact and recovery period," Transport Policy, Elsevier, vol. 111(C), pages 53-62.
    10. Rebecca Brough & Matthew Freedman & David C. Phillips, 2021. "Understanding socioeconomic disparities in travel behavior during the COVID‐19 pandemic," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 753-774, September.
    11. Park, Keunhyun & Farb, Anna & Chen, Shuolei, 2021. "First-/last-mile experience matters: The influence of the built environment on satisfaction and loyalty among public transit riders," Transport Policy, Elsevier, vol. 112(C), pages 32-42.
    12. Ralph Buehler & Andrea Hamre, 2015. "The multimodal majority? Driving, walking, cycling, and public transportation use among American adults," Transportation, Springer, vol. 42(6), pages 1081-1101, November.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    14. Renne, John L. & Hamidi, Shima & Ewing, Reid, 2016. "Transit commuting, the network accessibility effect, and the built environment in station areas across the United States," Research in Transportation Economics, Elsevier, vol. 60(C), pages 35-43.
    15. Luyu Liu & Harvey J Miller & Jonathan Scheff, 2020. "The impacts of COVID-19 pandemic on public transit demand in the United States," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    16. Annie Doubleday & Youngjun Choe & Tania Busch Isaksen & Scott Miles & Nicole A Errett, 2021. "How did outdoor biking and walking change during COVID-19?: A case study of three U.S. cities," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-13, January.
    17. Kim, Junghwan & Kwan, Mei-Po, 2021. "The impact of the COVID-19 pandemic on people's mobility: A longitudinal study of the U.S. from March to September of 2020," Journal of Transport Geography, Elsevier, vol. 93(C).
    18. Christin Hoffmann & Charles Abraham & Mathew P. White & Susan Ball & Stephen M. Skippon, 2017. "What cognitive mechanisms predict travel mode choice? A systematic review with meta-analysis," Transport Reviews, Taylor & Francis Journals, vol. 37(5), pages 631-652, September.
    19. Rick Grahn & Corey D. Harper & Chris Hendrickson & Zhen Qian & H. Scott Matthews, 2020. "Socioeconomic and usage characteristics of transportation network company (TNC) riders," Transportation, Springer, vol. 47(6), pages 3047-3067, December.
    20. Wan, Dan & Kamga, Camille & Liu, Jun & Sugiura, Aaron & Beaton, Eric B., 2016. "Rider perception of a “light” Bus Rapid Transit system - The New York City Select Bus Service," Transport Policy, Elsevier, vol. 49(C), pages 41-55.
    21. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    22. Hu, Songhua & Xiong, Chenfeng & Liu, Zhanqin & Zhang, Lei, 2021. "Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 91(C).
    23. Owens, Susan & Driffill, Louise, 2008. "How to change attitudes and behaviours in the context of energy," Energy Policy, Elsevier, vol. 36(12), pages 4412-4418, December.
    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. Nie, Qifan & Qian, Xinwu & Guo, Shuocheng & Jones, Steven & Doustmohammadi, Mehrnaz & Anderson, Michael D., 2022. "Impact of COVID-19 on paratransit operators and riders: A case study of central Alabama," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 48-67.
    2. Long, Alfie & Carney, Ffion & Kandt, Jens, 2023. "Who is returning to public transport for non-work trips after COVID-19? Evidence from older citizens' smart cards in the UK's second largest city region," Journal of Transport Geography, Elsevier, vol. 107(C).
    3. Chen, Ruoyu & Zhang, Min & Zhou, Jiangping, 2023. "Jobs-housing relationships before and amid COVID-19: An excess-commuting approach," Journal of Transport Geography, Elsevier, vol. 106(C).
    4. Soria, Jason & Edward, Deirdre & Stathopoulos, Amanda, 2023. "Requiem for transit ridership? An examination of who abandoned, who will return, and who will ride more with mobility as a service," Transport Policy, Elsevier, vol. 134(C), pages 139-154.
    5. Kevin J. Boyle & Mark Morrison & Darla Hatton MacDonald & Roderick Duncan & John Rose, 2016. "Investigating Internet and Mail Implementation of Stated-Preference Surveys While Controlling for Differences in Sample Frames," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(3), pages 401-419, July.
    6. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    7. Lattarulo, Patrizia & Masucci, Valentino & Pazienza, Maria Grazia, 2019. "Resistance to change: Car use and routines," Transport Policy, Elsevier, vol. 74(C), pages 63-72.
    8. Marek Drliciak & Jan Celko & Michal Cingel & Dusan Jandacka, 2020. "Traffic Volumes as a Modal Split Parameter," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    9. Liu, Luyu & Porr, Adam & Miller, Harvey J., 2024. "Measuring the impacts of disruptions on public transit accessibility and reliability," Journal of Transport Geography, Elsevier, vol. 114(C).
    10. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    11. Matthew Palm & Jeff Allen & Yixue Zhang & Ignacio Tiznado-Aitken & Brice Batomen & Steven Farber & Michael Widener, 2024. "Facing the future of transit ridership: shifting attitudes towards public transit and auto ownership among transit riders during COVID-19," Transportation, Springer, vol. 51(2), pages 645-671, April.
    12. Timmer, Sebastian & Merfeld, Katrin & Henkel, Sven, 2023. "Exploring motivations for multimodal commuting: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    13. Rossetti, Tomás & Daziano, Ricardo A., 2024. "Crowding multipliers on shared transportation in New York City: The effects of COVID-19 and implications for a sustainable future," Transport Policy, Elsevier, vol. 145(C), pages 224-236.
    14. Fan, Huiying & Lu, Hongyu & Guin, Angshuman & Watkins, Kari E & Guensler, Randall, 2022. "Combined Effect of Changes in Transit Service and Changes in Occupancy on Per-Passenger Energy Consumption," Institute of Transportation Studies, Working Paper Series qt2x1320p5, Institute of Transportation Studies, UC Davis.
    15. Hoffmann, Christin & Abraham, Charles & Skippon, Stephen M. & White, Mathew P., 2018. "Cognitive construction of travel modes among high-mileage car users and non-car users – A Repertory Grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 216-233.
    16. Loa, Patrick & Ong, Felita & Hawkins, Jason & Nurul Habib, Khandker, 2023. "Unravelling the relationship between ride-sourcing services and conventional modes in the city of Toronto: A stated preference study," Transport Policy, Elsevier, vol. 141(C), pages 209-220.
    17. Julene Paul & Brian D. Taylor, 2024. "Pandemic transit: examining transit use changes and equity implications in Boston, Houston, and Los Angeles," Transportation, Springer, vol. 51(2), pages 615-643, April.
    18. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    19. Kun Gao & Minhua Shao & Lijun Sun, 2019. "Roles of Psychological Resistance to Change Factors and Heterogeneity in Car Stickiness and Transit Loyalty in Mode Shift Behavior: A Hybrid Choice Approach," Sustainability, MDPI, vol. 11(17), pages 1-20, September.
    20. Yaiza Montero-Lamas & Alfonso Orro & Margarita Novales & Francisco-Alberto Varela-García, 2022. "Analysis of the Relationship between the Characteristics of the Areas of Influence of Bus Stops and the Decrease in Ridership during COVID-19 Lockdowns," Sustainability, MDPI, vol. 14(7), pages 1-19, April.

    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:178:y:2023:i:c:s0965856423003026. 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.