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

Aaditya, 2021, Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach, Transp. Policy, 108, 47, 10.1016/j.tranpol.2021.05.003 ABS. 2016. 2016 Census, Australian Bureau of Statistics. https://www.abs.gov.au/websitedbs/censushome.nsf/home/2016, accessed 01/03/22. Balbontin, 2022, Relationship between commuting and non-commuting travel activity under the growing incidence of working from home and people’s attitudes towards COVID-19, Transportation (under Review) Barrero, 2021, Why Working from Home Will Stick, In National Bureau of Economic Research Beck, 2020, Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions, Transp. Policy, 99, 95, 10.1016/j.tranpol.2020.08.004 Beck, 2021, What might the changing incidence of Working from Home (WFH) tell us about future transport and land use agendas, Transport Reviews, 41, 257, 10.1080/01441647.2020.1848141 Beck, 2021, Public transport trends in Australia during the COVID-19 pandemic: An investigation of the influence of bio-security concerns on trip behaviour, J. Transp. Geogr., 96 Beck, 2017, Stability of Preferences and Attitudes: Hybrid Model of Air Travel Preferences at Two Different Points in Time, Transportation Research Board, 96th Annual Meeting, 44 Bick, 2021, Work from Home Before and After the COVID-19 Outbreak, SSRN Electronic Journal, 10.2139/ssrn.3786142 Bierlaire, M. 2016. Estimating Choice Models with Latent Variables with PythonBiogeme. 68. Böhmer, 2020, Investigation of a COVID-19 outbreak in Germany resulting from a single travel-associated primary case: a case series, Lancet. Infect. Dis, 20, 920, 10.1016/S1473-3099(20)30314-5 Caulfield, 2015, Does it pay to work from home? Examining the factors influencing working from home in the Greater Dublin Area, Case Studies on Transport Policy, 3, 206, 10.1016/j.cstp.2015.04.004 Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A., Mu, K., Rossi, L., Sun, K., Viboud, C., Xiong, X., Yu, H., Halloran, M. E., Longini, I. M., & Vespignani, A. 2020. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, 368(6489), 395–400. Doi: 10.1126/science.aba9757. Choo, 2005, Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S, Transportation, 32, 37, 10.1007/s11116-004-3046-7 Chu, 2022, Learning from work-from-home issues during the COVID-19 pandemic: Balance speaks louder than words, PLoS ONE, 17, 10.1371/journal.pone.0261969 Daly, 2012, Using ordered attitudinal indicators in a latent variable choice model: A study of the impact of security on rail travel behaviour, Transportation, 39, 267, 10.1007/s11116-011-9351-z Dam, 2020, COVID-19: Impact on transport and mental health, Journal of Transport & Health, 19, 10.1016/j.jth.2020.100969 Fu, 2012, Environmental policy implications of working from home: Modelling the impacts of land-use, infrastructure and socio-demographics, Energy Policy, 47, 416, 10.1016/j.enpol.2012.05.014 Gkiotsalitis, 2021, Public transport planning adaption under the COVID-19 pandemic crisis: literature review of research needs and directions, Transport Reviews, 41, 374, 10.1080/01441647.2020.1857886 Greene, W. H., & Hensher, D. A. 2010. Modeling ordered choices: A primer. In Modeling Ordered Choices: A Primer. Doi: 10.1017/CBO9780511845062. Hall, D. T. 1989. Telecommuting and the management of work-home boundaries. Paper Prepared for the Annual Review of Communications and Society, a Joint Project of the Aspen Institute and the Institute for Information Studies. Hensher, 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, Special Issue on COVID-19, 155, 179 Hensher, 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, 153, 35 Hensher, 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, 148, 64 Hensher, D. A., Rose, J. M., & Greene, W. H. 2015. Applied Choice Analysis - Second Edition. Cambridge University Press. Doi: 10.1017/CBO9780511610356. Hess, 2019, Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application, Journal of Choice Modelling, 32 Hopkins, 2019, Investigating ‘anywhere working’ as a mechanism for alleviating traffic congestion in smart cities, Technol. Forecast. Soc. Chang., 142, 258, 10.1016/j.techfore.2018.07.032 Hurtubia, R., Tirachini, A., Astroza, S., Guevara, A., Carrasco, J. A., & Munizaga, M. 2021. Factores socioeconómicos y perceptuales que influyeron en el teletrabajo durante la pandemia COVID-19 en Santiago, Chile. Estudios de Transporte (under Review). Kitamura, 1990, Telecommuting as a Transportation Planning Measure: Initial Results of California Pilot Project, Trasportation Research Record, 98 Maynard, 1994, 61 Mokhtarian, 1991, Telecommuting and Travel: State of the Practice, State of the Art, Transportation, 18, 319, 10.1007/BF00186563 Mokhtarian, 1998, The impact of gender, occupation, and presence of children on telecommuting motivations and constraints, Journal of the American Society for Information Science, 49, 1115, 10.1002/(SICI)1097-4571(1998)49:12<1115::AID-ASI7>3.0.CO;2-Y Morikawa, T., Ben-Akiva, M., & McFadden, D. 2015. Discrete choice models incorporating revealed preferences and psychometric data (Vol. 16, Issue 2002, pp. 29–55). Doi: 10.1016/S0731-9053(02)16003-8. Nilles, 1988, Traffic reduction by telecommuting: A status review and selected bibliography, Transportation Research Part A: General, 22, 301, 10.1016/0191-2607(88)90008-8 PC. 2021. Working from Home Research Paper, Productivity Commision: Australian Government. https://www.pc.gov.au/research/completed/working-from-home/working-from-home.pdf, accessed 01/03/22. Prato, 2012, Latent variables and route choice behavior, Transportation, 39, 299, 10.1007/s11116-011-9344-y Salomon, 1984, Telecommuting: The employee’s perspective, Technol. Forecast. Soc. Chang., 25, 15, 10.1016/0040-1625(84)90077-5 Sottile, 2019, Estimation and validation of hybrid choice models to identify the role of perception in the choice to cycle, International Journal of Sustainable Transportation, 13, 543, 10.1080/15568318.2018.1490465 Teodorovicz, 2021, How does working from home during COVID-19 affect what managers do?, Evidence from time-Use studies. Human-Computer Interaction, 1–26 Transport Policy. 2021. Special Issue on COVID-19 and Passenger. https://www.sciencedirect.com/journal/transport-policy/special-issue/10X7TVLWG68, accessed 01/03/22. Vyas, 2020, The impact of working from home during COVID-19 on work and life domains: an exploratory study on Hong Kong, Policy Design and Practice, 1–18 Walker, 2001 Walker, 2002, Generalized random utility model, Mathematical Social Sciences, 43, 303, 10.1016/S0165-4896(02)00023-9 Zhang, 2020, Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach, Transp. Policy, 99, 405, 10.1016/j.tranpol.2020.09.009