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Modelling COVID-19 travel rebound with automated land use identification

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  • Liu, Jielun
  • Chan, Mei San
  • Ong, Ghim Ping

Abstract

As movement restrictions during the COVID-19 pandemic forced urban workforces around the world to temporarily adopt telecommuting or flexible working arrangements, some speculate that these practices could remain as the ‘future-of-work’. Therefore, transportation and urban planners would both need to react to new post-pandemic work-based travel patterns. Unlike most common methods of analysing post-COVID telecommuting trends that rely on survey responses, this study develops a two-stage methodology of automatic land use identification (ALI) and mixed effects regression for the synthesis of both land use and transportation data with the aim of monitoring the post-pandemic travel recovery situation. Firstly, clustering methods are used for ALI around public transport destinations to generate different classes of regions based on land use characteristic. Mixed effects regression is then conducted to estimate the variability between different classes of regions. To gain insights on the travel rebound in Singapore, the case study focuses on business entity locations and bus transit volumes during the peak hours. Predictive modelling of a hypothetical travel recovery situation indicates that pre-COVID levels of traffic demand could likely return. The findings from this study have implications on transportation and urban planning, as well as decision-making in the post-COVID world and can be used as a basis for further COVID-related behavioural studies.

Suggested Citation

  • Liu, Jielun & Chan, Mei San & Ong, Ghim Ping, 2024. "Modelling COVID-19 travel rebound with automated land use identification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    • Handle: RePEc:eee:transa:v:190:y:2024:i:c:s0965856424003288
    DOI: 10.1016/j.tra.2024.104280
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    References listed on IDEAS

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    1. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    2. Konstantinos Gkiotsalitis & Oded Cats, 2021. "Public transport planning adaption under the COVID-19 pandemic crisis: literature review of research needs and directions," Transport Reviews, Taylor & Francis Journals, vol. 41(3), pages 374-392, May.
    3. Ahrendt, Bernd & Beuck, Knut Åre & Dziatzko, Nina & Engelke-Herrmannsfeldt, Anga & Heiss, Silke & Hellert, Ulrike & Hudeécek, Matthias & Kratzsch, Robert & Mander, Rebekka & Mühlbradt, Thomas & Natsio, 2020. "Zukunftsweisende flexible Arbeitszeitgestaltung," iap Schriftenreihe, FOM Hochschule für Oekonomie & Management, iap Institut für Arbeit & Personal, volume 6, number 6 edited by FOM Hochschule für Oekonomie & Management, iap Institut für Arbeit & Personal, June.
    4. Zheng, Hongyu & Zhang, Kenan & Nie, Yu (Marco), 2021. "Plunge and rebound of a taxi market through COVID-19 lockdown: Lessons learned from Shenzhen, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 349-366.
    5. Xianyuan Zhan & Satish Ukkusuri & Feng Zhu, 2014. "Inferring Urban Land Use Using Large-Scale Social Media Check-in Data," Networks and Spatial Economics, Springer, vol. 14(3), pages 647-667, December.
    6. 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.
    7. Palvinder Singh & Rajesh Paleti & Syndney Jenkins & Chandra Bhat, 2013. "On modeling telecommuting behavior: option, choice, and frequency," Transportation, Springer, vol. 40(2), pages 373-396, February.
    8. Christine Bertram & Martin Quaas & Thorsten B. H. Reusch & Athanasios T. Vafeidis & Claudia Wolff & Wilfried Rickels, 2021. "The blue carbon wealth of nations," Nature Climate Change, Nature, vol. 11(8), pages 704-709, August.
    9. Molloy, Joseph & Schatzmann, Thomas & Schoeman, Beaumont & Tchervenkov, Christopher & Hintermann, Beat & Axhausen, Kay W., 2021. "Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel," Transport Policy, Elsevier, vol. 104(C), pages 43-51.
    10. 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).
    11. Oecd & Nea, 2021. "National Legislative and Regulatory Activities," Nuclear Law Bulletin, OECD Publishing, vol. 2020(2).
    12. Frank Crowley & Justin Doran, 2020. "COVID‐19, occupational social distancing and remote working potential: An occupation, sector and regional perspective," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1211-1234, December.
    13. 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.
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