IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v101y2021icp71-80.html
   My bibliography  Save this article

The impact of COVID-19 on cost outlays for car and public transport commuting - The case of the Greater Sydney Metropolitan Area after three months of restrictions

Author

Listed:
  • Hensher, David A.
  • Wei, Edward
  • Beck, MatthewJ.
  • Balbontin, Camila

Abstract

This paper estimates the short-term reduction in money and time costs associated with a reduction in car and public transport commuting activity in the Greater Sydney Metropolitan Area (GSMA) during a period of the COVID-19 pandemic in which Australia started to see an easing of restrictions (see Beck and Hensher 2020a). As of late May 2020, three months after COVID-19 resulted in restrictions in Australia, we saw an annual travel time reduction for car and public transport commuters in the GSMA of $5.58 billion, representing a 54.02% reduction in the Pre-COVID-19 total time costs, much of which we would suggest can be associated with reductions in congestions costs. Adjusting further for reduced employment volumes relative to pre-COVID-19 levels, to take into account reduced commuting activity due, in part, to a lower volume of work associated with a loss of employment or lower employment hours, the annual time cost reduction for all commuters who still have regular pre-COVID-19 levels of employment are estimated as $4.4 billion. Hence there is $1.17 billion worth of reduced time costs associated with significantly reduced employment hours, including a loss of employment. The implications for road investment linked to congestion in particular is profound, and shows how much of an increase in benefit to society, through congestion busting, can be obtained by more flexible work arrangements, even allowing for some switching into car out of public transport. Whether the current decrease in travel costs will be long-lasting is unknown, but it does support the appeal of working from home, if it is sustainable, as a policy lever to reduce levels of congestion on the roads and crowding in public transport.

Suggested Citation

  • Hensher, David A. & Wei, Edward & Beck, MatthewJ. & Balbontin, Camila, 2021. "The impact of COVID-19 on cost outlays for car and public transport commuting - The case of the Greater Sydney Metropolitan Area after three months of restrictions," Transport Policy, Elsevier, vol. 101(C), pages 71-80.
    • Handle: RePEc:eee:trapol:v:101:y:2021:i:c:p:71-80
    DOI: 10.1016/j.tranpol.2020.12.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X20309409
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2020.12.003?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. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions," Transport Policy, Elsevier, vol. 99(C), pages 95-119.
    2. Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    3. Proost, Stef & Dender, Kurt Van, 2008. "Optimal urban transport pricing in the presence of congestion, economies of density and costly public funds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1220-1230, November.
    4. Hensher, David A. & Bliemer, Michiel C.J., 2014. "What type of road pricing scheme might appeal to politicians? Viewpoints on the challenge in gaining the citizen and public servant vote by staging reform," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 227-237.
    5. Mokhtarian, Patricia L., 1991. "Telecommuting and Travel: State of the Practice, State of the Art," University of California Transportation Center, Working Papers qt4zc486ph, University of California Transportation Center.
    6. Zhang, Junyi, 2020. "Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach," Transport Policy, Elsevier, vol. 99(C), pages 405-418.
    7. Zhang, Yahua & Zhang, Anming & Wang, Jiaoe, 2020. "Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 94(C), pages 34-42.
    8. David A. Hensher & Chinh Quoc Ho & Wen Liu & Edward Wei & Richard Ellison & Kyle Schroeckenthaler & Derek Cutler & Glen Weisbrod, 2020. "MetroScan: A Quick Scan Appraisal Capability to Identify Value Adding Sustainable Transport Initiatives," Sustainability, MDPI, vol. 12(19), pages 1-30, September.
    9. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions," Transport Policy, Elsevier, vol. 96(C), pages 76-93.
    10. Beck, Matthew J. & Hensher, David A. & Wei, Edward, 2020. "Slowly coming out of COVID-19 restrictions in Australia: Implications for working from home and commuting trips by car and public transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    11. Li, Zhi-Chun & Wu, Qiao-Yu & Yang, Hai, 2019. "A theory of auto ownership rationing," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 125-146.
    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. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    2. Wang, Kaili & Liu, Yicong & Mashrur, Sk Md & Loa, Patrick & Habib, Khandker Nurul, 2021. "COVid-19 influenced households’ Interrupted Travel Schedules (COVHITS) survey: Lessons from the fall 2020 cycle," Transport Policy, Elsevier, vol. 112(C), pages 43-62.
    3. Hensher, David A. & Beck, Matthew J. & Wei, Edward, 2021. "Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 64-78.
    4. Balbontin, Camila & Hensher, David A. & Beck, Matthew J., 2022. "Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    5. Zhang, Junyi & Hayashi, Yoshitsugu, 2022. "Research frontier of COVID-19 and passenger transport: A focus on policymaking," Transport Policy, Elsevier, vol. 119(C), pages 78-88.
    6. Delbosc, Alexa & McCarthy, Laura, 2021. "Pushed back, pulled forward: Exploring the impact of COVID-19 on young adults’ life plans and future mobility," Transport Policy, Elsevier, vol. 107(C), pages 43-51.
    7. 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.
    8. Oum, Tae Hoon & Wang, Kun, 2020. "Socially optimal lockdown and travel restrictions for fighting communicable virus including COVID-19," Transport Policy, Elsevier, vol. 96(C), pages 94-100.
    9. 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.
    10. Beck, Matthew J. & Hensher, David A., 2022. "Working from home in Australia in 2020: Positives, negatives and the potential for future benefits to transport and society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 271-284.
    11. Beck, Matthew J. & Hensher, David A., 2022. "Australia 6 months after COVID-19 restrictions- part 1: Changes to travel activity and attitude to measures," Transport Policy, Elsevier, vol. 128(C), pages 286-298.
    12. An, Yunlong & Lin, Xi & Li, Meng & He, Fang, 2021. "Dynamic governance decisions on multi-modal inter-city travel during a large-scale epidemic spreading," Transport Policy, Elsevier, vol. 104(C), pages 29-42.
    13. Rafiq, Rezwana & McNally, Michael G. & Sarwar Uddin, Yusuf & Ahmed, Tanjeeb, 2022. "Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 35-54.
    14. Siliang Luan & Qingfang Yang & Zhongtai Jiang & Huxing Zhou & Fanyun Meng, 2022. "Analyzing Commute Mode Choice Using the LCNL Model in the Post-COVID-19 Era: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
    15. Naveen, B.R. & Gurtoo, Anjula, 2022. "Public transport strategy and epidemic prevention framework in the Context of Covid-19," Transport Policy, Elsevier, vol. 116(C), pages 165-174.
    16. Nayak, Suchismita & Pandit, Debapratim, 2021. "Potential of telecommuting for different employees in the Indian context beyond COVID-19 lockdown," Transport Policy, Elsevier, vol. 111(C), pages 98-110.
    17. Beck, Matthew J. & Hensher, David A. & Wei, Edward, 2020. "Slowly coming out of COVID-19 restrictions in Australia: Implications for working from home and commuting trips by car and public transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    18. Cui, Qi & He, Ling & Liu, Yu & Zheng, Yanting & Wei, Wei & Yang, Bo & Zhou, Meifang, 2021. "The impacts of COVID-19 pandemic on China’s transport sectors based on the CGE model coupled with a decomposition analysis approach," Transport Policy, Elsevier, vol. 103(C), pages 103-115.
    19. Riccardo Ceccato & Riccardo Rossi & Massimiliano Gastaldi, 2021. "Travel Demand Prediction during COVID-19 Pandemic: Educational and Working Trips at the University of Padova," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    20. Li, Tao & Wang, Jiaoe & Huang, Jie & Yang, Wenyue & Chen, Zhuo, 2021. "Exploring the dynamic impacts of COVID-19 on intercity travel in China," Journal of Transport Geography, Elsevier, vol. 95(C).

    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:trapol:v:101:y:2021:i:c:p:71-80. 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/30473/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.