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Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia

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  • Balbontin, Camila
  • Hensher, David A.
  • Beck, Matthew J.

Abstract

The decision to work from home (WFH) or to commute during COVID-19 is having a major structural impact on individuals’ travel, work and lifestyle. There are many possible factors influencing this non-marginal change, some of which are captured by objective variables while others are best represented by a number of underlying latent traits captured by attitudes towards WFH and the use of specific modes of transport for the commute that have a bio-security risk such as public transport (PT). We develop and implement a hybrid choice model to investigate the sources of influence, accounting for the endogenous nature of latent soft variables for workers in metropolitan areas in New South Wales and Queensland. The data was collected between September-October 2020, during a period of no lockdown and relatively minor restrictions on workplaces and public gatherings. The results show that one of the most important attributes defining the WFH loving attitude is the workplace policy towards WFH, with workers that can decide where to work having a higher probability of WFH, followed by those that are being directed to, relative to other workplace policies. The bio-security concern with using shared modes such as public transport is a key driver of WFH and choosing to commute via the safer environment of the private car.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:transe:v:162:y:2022:i:c:s1366554522001090
    DOI: 10.1016/j.tre.2022.102718
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    1. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    2. Beck, Matthew J. & Hensher, David A. & Nelson, John D., 2021. "Public transport trends in Australia during the COVID-19 pandemic: An investigation of the influence of bio-security concerns on trip behaviour," Journal of Transport Geography, Elsevier, vol. 96(C).
    3. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    4. Mokhtarian, Patricia L. & Bagley, Michael N. & Salomon, Ilan, 1998. "The Impact of Gender, Occupation, and Presence of Children on Telecommuting Motivations and Constraints," University of California Transportation Center, Working Papers qt6792b1k7, University of California Transportation Center.
    5. 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.
    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 under restrictions," Transport Policy, Elsevier, vol. 96(C), pages 76-93.
    7. 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.
    8. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, October.
    9. Sangho Choo & Patricia Mokhtarian & Ilan Salomon, 2005. "Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S," Transportation, Springer, vol. 32(1), pages 37-64, January.
    10. Hensher, David A. & Balbontin, Camila & Beck, Matthew J. & Wei, Edward, 2022. "The impact of working from home on modal commuting choice response during COVID-19: Implications for two metropolitan areas in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 179-201.
    11. Fu, Miao & Andrew Kelly, J. & Peter Clinch, J. & King, Fearghal, 2012. "Environmental policy implications of working from home: Modelling the impacts of land-use, infrastructure and socio-demographics," Energy Policy, Elsevier, vol. 47(C), pages 416-423.
    12. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, September.
    13. 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.
    14. 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.
    15. Hensher, David A. & Beck, Matthew J. & Balbontin, Camila, 2021. "What does the quantum of working from home do to the value of commuting time used in transport appraisal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 35-51.
    16. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
    17. Matthew J. Beck & David A. Hensher, 2021. "What might the changing incidence of Working from Home (WFH) tell us about future transport and land use agendas," Transport Reviews, Taylor & Francis Journals, vol. 41(3), pages 257-261, May.
    18. Patricia L. Mokhtarian & Michael N. Bagley & Ilan Salomon, 1998. "The impact of gender, occupation, and presence of children on telecommuting motivations and constraints," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(12), pages 1115-1134.
    19. 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.
    20. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    21. Carlo Giacomo Prato & Shlomo Bekhor & Cristina Pronello, 2012. "Latent variables and route choice behavior," Post-Print halshs-00733464, HAL.
    22. Carlo Prato & Shlomo Bekhor & Cristina Pronello, 2012. "Latent variables and route choice behavior," Transportation, Springer, vol. 39(2), pages 299-319, March.
    23. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
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    2. Balbontin, Camila & Hensher, David A. & Beck, Matthew J., 2023. "How are life satisfaction, concern towards the use of public transport and other underlying attitudes affecting mode choice for commuting trips? a case study in Sydney from 2020 to 2022," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
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    4. Balbontin, Camila & Hensher, David A. & Beck, Matthew J., 2024. "The influence of working from home and underlying attitudes on the number of commuting and non-commuting trips by workers during 2020 and 2021 pre- and post-lockdown in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

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