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Not to travel or how to travel? Understanding weekly commute choices in metropolitan versus rural settings in Australia

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

Abstract

This study investigates how individuals allocate their weekly work time across not working, working from home (WFH), and commuting via different transport modes, with a comparative lens on metropolitan and rural settings in Australia. Using survey data collected in late 2022 across New South Wales and Queensland, a multiple discrete continuous extreme value (MDCEV) model is estimated to capture the proportion of weekly time allocated to each work-travel alternative. The model incorporates latent variables representing public transport concern and perceived WFH benefits. Results reveal significant differences between rural and metropolitan behaviours: metropolitan participants are more likely to WFH, use a broader range of transport modes, and are more sensitive to public transport egress time, often penalising it significantly more than in-vehicle time. In contrast, rural participants rely heavily on private vehicles, face more limited access to alternative modes, and are not very sensitive to the perceived benefits of WFH. The findings underscore that WFH tends to substitute car use more than public transport, and that perceived benefits of flexibility and non-commuting significantly influence weekly WFH adoption in metropolitan areas - particularly among younger individuals, caregivers, and women. These results highlight the need for context-sensitive policy: in metropolitan areas, promoting flexible work arrangements and addressing public transport concerns are key to encouraging sustainable commuting, while in rural areas, investment in digital infrastructure, remote work opportunities, and alternative transport options is needed to reduce car dependency. By modelling work and travel as interdependent weekly decisions, this study provides novel insights to inform transport planning and flexible work policies in the post-pandemic context.

Suggested Citation

  • Balbontin, Camila & Hensher, David A. & Beck, Matthew J., 2026. "Not to travel or how to travel? Understanding weekly commute choices in metropolitan versus rural settings in Australia," Transport Policy, Elsevier, vol. 175(C).
  • Handle: RePEc:eee:trapol:v:175:y:2026:i:c:s0967070x25004123
    DOI: 10.1016/j.tranpol.2025.103869
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    1. Balbontin, Camila & Hensher, David A. & Beck, Matthew J. & Giesen, Ricardo & Basnak, Paul & Vallejo-Borda, Jose Agustin & Venter, Christoffel, 2021. "Impact of COVID-19 on the number of days working from home and commuting travel: A cross-cultural comparison between Australia, South America and South Africa," Journal of Transport Geography, Elsevier, vol. 96(C).
    2. Banita Lal & Yogesh K. Dwivedi & Markus Haag, 2023. "Working from Home During Covid-19: Doing and Managing Technology-enabled Social Interaction With Colleagues at a Distance," Information Systems Frontiers, Springer, vol. 25(4), pages 1333-1350, August.
    3. 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.
    4. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    5. Chen, Tiantian & Fu, Xiaowen & Hensher, David A. & Li, Zhi-Chun & Sze, N.N., 2024. "Effects of proactive and reactive health control measures on public transport preferences of passengers – A stated preference study during the COVID-19 pandemic," Transport Policy, Elsevier, vol. 146(C), pages 175-192.
    6. Hensher, David A. & Balbontin, Camila & Beck, Matthew J. & Wei, Edward, 2024. "Commuting mode choice and work from home in the later stages of COVID-19: Consolidating a future focussed prediction tool to inform transport and land use planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    7. 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.
    8. Diego Maria Barbieri & Baowen Lou & Marco Passavanti & Cang Hui & Inge Hoff & Daniela Antunes Lessa & Gaurav Sikka & Kevin Chang & Akshay Gupta & Kevin Fang & Arunabha Banerjee & Brij Maharaj & Louisa, 2021. "Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.
    9. 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.
    10. David A. Hensher & Camila Balbontin & William H. Greene & Joffre Swait, 2021. "Experience as a conditioning effect on choice: Does it matter whether it is exogenous or endogenous?," Transportation, Springer, vol. 48(5), pages 2825-2855, October.
    11. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Kim, Seung-Nam & Choo, Sangho & Mokhtarian, Patricia L., 2015. "Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 197-214.
    17. Vallejo-Borda, Jose Agustin & Giesen, Ricardo & Basnak, Paul & Reyes, José P. & Mella Lira, Beatriz & Beck, Matthew J. & Hensher, David A. & Ortúzar, Juan de Dios, 2022. "Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 186-205.
    18. 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.
    19. Maheshwari, Richa & Van Acker, Veronique & Gerber, Philippe, 2024. "Commuting vs teleworking: How does it impact the relationship between commuting satisfaction and subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    20. Choo, Sangho & Mokhtarian, Patricia L., 2007. "Telecommunications and travel demand and supply: Aggregate structural equation models for the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 4-18, January.
    21. 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).
    22. 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).
    23. Kappler, Laísa Braga & de Abreu e Silva, João, 2025. "Telework frequency and travel behaviour during the later stages of the COVID-19 pandemic. A study across different Metropolitan Areas: Lisbon, Istanbul, and Porto Alegre," Journal of Transport Geography, Elsevier, vol. 123(C).
    24. Guevara, C. Angelo & Hess, Stephane, 2019. "A control-function approach to correct for endogeneity in discrete choice models estimated on SP-off-RP data and contrasts with an earlier FIML approach by Train & Wilson," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 224-239.
    25. Jose Maria Barrero & Nick Bloom & Steven J. Davis, 2020. "60 Million Fewer Commuting Hours Per Day: How Americans Use Time Saved by Working from Home," Working Papers 2020-132, Becker Friedman Institute for Research In Economics.
    26. 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.
    27. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
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