Exploring relationships between urban distances traveled and teleworking
DOI:
https://doi.org/10.58922/transportes.v33.e3082Keywords:
Travel Behavior, Information and Communication Technologies, Mobility Management, Decision Tree, Multinomial LogitAbstract
The advance of Information and Communication Technologies (ICTs) and the popularization of teleworking due to the COVID-19 pandemic have reshaped mobility dynamics in recent years. Concerning distances and teleworking, important causal relationships can be observed. The relationship investigated in this study is linked to the individual choice of teleworking due to the current distances to be traveled, especially in larger cities. Therefore, this article analyzed the relationships between urban distances traveled and teleworking and, secondarily, investigated the relationships between different work arrangements, trip frequencies, as well as the use of technologies. A three-step method was used, involving the sequential use of the following tools: (1) CART algorithm (Classification And Regression Tree); (2) Chi-square tests and (3) Multinomial Logit model. Data was collected through an online survey conducted with 247 respondents between April and June 2022. The participants were residents from various Brazilian cities. The results showed that part-time teleworkers travel longer distances for work-related trips (between 15.5 and 37.5 km), while full-time teleworkers travel less frequently for the same trip purposes. Additionally, face-to-face workers travel less frequently for other purposes.
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References
Aguilera, A.; V. Lethiais; A. Rallet et al. (2016) Home-based telework in France: characteristics, barriers and perspectives, Transportation Research Part A, Policy and Practice, v. 92, p. 1-11. DOI: 10.1016/j.tra.2016.06.021. DOI: https://doi.org/10.1016/j.tra.2016.06.021
Anik, M.A.H. and M.A. Habib (2023) COVID-19 and teleworking: Lessons, current issues and future directions for transport and land-use planning, Transportation Research Record: Journal of the Transportation Research Board, v. 2678, n. 12, p. 554-66. DOI: 10.1177/03611981231166384. DOI: https://doi.org/10.1177/03611981231166384
Asmussen, K.E.; A. Mondal and C.R. Bhat (2024) The interplay between teleworking choice and commute distance, Transportation Research Part C, Emerging Technologies, v. 165, p. 104690. DOI: 10.1016/j.trc.2024.104690. DOI: https://doi.org/10.1016/j.trc.2024.104690
Asmussen, K.E.; A. Mondal; I. Batur et al. (2024) An investigation of individual-level telework arrangements in the COVID-era, Transportation Research Part A, Policy and Practice, v. 179, p. 103888. DOI: 10.1016/j.tra.2023.103888. DOI: https://doi.org/10.1016/j.tra.2023.103888
Baltar, F. and I. Brunet (2012) Social research 2.0: virtual snowball sampling method using Facebook, Internet Research, v. 22, n. 1, p. 57-74. DOI: 10.1108/10662241211199960. DOI: https://doi.org/10.1108/10662241211199960
Ben-Akiva, M. and S. Lerman (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge: MIT Press.
Bokhari, A. and F. Sharifi (2024) Public transport inequality and utilization: Exploring the perspective of the inequality impact on travel choices, Sustainability, v. 16, n. 13, p. 5404. DOI: 10.3390/su16135404. DOI: https://doi.org/10.3390/su16135404
Breiman, L.; J. Friedman; R.A. Olshen et al. (1984) Classification and Regression Trees (1st ed.). London: Chapman and Hall/CRC. DOI: 10.1201/9781315139470. DOI: https://doi.org/10.1201/9781315139470
Buomprisco, G.; S. Ricci; R. Perri et al. (2021) Health and telework: new challenges after COVID-19 pandemic, European Journal of Environment and Public Health, v. 5, n. 2, p. em0073. DOI: 10.21601/ejeph/9705. DOI: https://doi.org/10.21601/ejeph/9705
Caldarola, B. and S. Sorrell (2022) Do teleworkers travel less? Evidence from the English National Travel Survey, Transportation Research Part A, Policy and Practice, v. 159, p. 282-303. DOI: 10.1016/j.tra.2022.03.026. DOI: https://doi.org/10.1016/j.tra.2022.03.026
Caldarola, B. and S. Sorrell (2024) Does teleworking encourage longer commutes? Pre-pandemic evidence from the English National Travel Survey, Travel Behaviour & Society, v. 37, p. 100822. DOI: 10.1016/j.tbs.2024.100822. DOI: https://doi.org/10.1016/j.tbs.2024.100822
Campos, C.I.; C.S. Pitombo; P. Delhomme et al. (2021) What are the risk behaviors of Brazilian and Portuguese drivers? An exploratory approach using self-reported data, Case Studies on Transport Policy, v. 9, n. 4, p. 1746-56. DOI: 10.1016/j.cstp.2021.07.021. DOI: https://doi.org/10.1016/j.cstp.2021.07.021
Caringal-Go, J.F.; M. Teng-Calleja; D.J. Bertulfo et al. (2022) Work-life balance crafting during COVID-19: Exploring strategies of telecommuting employees in the Philippines, Community Work & Family, v. 25, n. 1, p. 112-31. DOI: 10.1080/13668803.2021.1956880. DOI: https://doi.org/10.1080/13668803.2021.1956880
Choo, S.; P.L. Mokhtarian and I. Salomon (2005) Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S, Transportation, v. 32, n. 1, p. 37-64. DOI: 10.1007/s11116-004-3046-7. DOI: https://doi.org/10.1007/s11116-004-3046-7
Cools, M.; C. Deuse and S. Reiter (2024) Biases in self-reported travel behaviour: effects on self-reported travel distance, travel time and rain prevalence, Transportation Research Procedia, v. 76, p. 62-9. DOI: 10.1016/j.trpro.2023.12.038. DOI: https://doi.org/10.1016/j.trpro.2023.12.038
Costa, C.S.; C.S. Pitombo and F.L.U. Souza (2022) Travel behavior before and during the COVID-19 pandemic in Brazil: Mobility changes and transport policies for a sustainable transportation system in the post-pandemic period, Sustainability, v. 14, n. 8, p. 4573. DOI: 10.3390/su14084573. DOI: https://doi.org/10.3390/su14084573
Costa, E.M.E.; P. Franco; P. Morgado et al. (2024) The evolution of teleworking in Portugal: Regional disparities and sectoral variations during the COVID-19 period and in the post-pandemic, Revista De Gestão Social E Ambiental, v. 18, n. 8, p. e07985.. .. DOI: 10.24857/rgsa.v18n8-174. DOI: https://doi.org/10.24857/rgsa.v18n8-174
De Vos, D.; M. Van Ham and E. Meijers (2019) Working from Home and Commuting: Heterogeneity Over Time, Space, and Occupations (IZA Discussion Paper, n. 12578). Bonn: IZA – Institute of Labor Economics. Available at: <https://www.iza.org/publications/dp/12578/working-from-home-and-commuting-heterogeneity-over-time-space-and-occupations> (accessed 08/23/2025). DOI: https://doi.org/10.2139/ssrn.3449572
Demoraes, F.; M. Souris and Y. Contreras Gatica (2021) Live nearby, be different, work apart? Some learnings from action spaces discrepancies in Santiago de Chile, Geographical Analysis, v. 53, n. 2, p. 329-54. DOI: 10.1111/gean.12232. DOI: https://doi.org/10.1111/gean.12232
Dias, V.C.; C.Y.S. Goshima and C.S. Pitombo (2024) Relações entre distâncias urbanas percorridas e teletrabalho. In Anais do 38º Congresso de Pesquisa e Ensino em Transportes. Rio de Janeiro: ANPET. Available at: <https://proceedings.science/anpet/anpet-2024/trabalhos/relacoes-entre-distancias-urbanas-percorridas-e-teletrabalho?lang=pt-br> (accessed 08/23/2025).
Dias, V.C.; C.Y.S. Goshima; J.U. Pedreira Jr et al. (2022) Comparações entre teletrabalhadores e trabalhadores presenciais segundo características sociodemográficas, uso de tecnologias e mobilidade. In Anais do 36º Congresso de Pesquisa e Ensino em Transportes. Rio de Janeiro: ANPET. Available at: <https://proceedings.science/anpet/anpet-2022/trabalhos/comparacoes-entre-teletrabalhadores-e-trabalhadores-presenciais-segundo-caracter?lang=pt-br> (accessed 08/23/2025).
Dias, V.C.; R.S. Ribeiro and C.S. Pitombo (2023) Relações entre distâncias de viagens e escolha do regime de trabalho: uma abordagem exploratória por meio de Machine Learning. In Anais do 37º Congresso de Pesquisa e Ensino em Transportes. Rio de Janeiro: ANPET. Available at: <https://proceedings.science/anpet/anpet-2023/trabalhos/relacoes-entre-distancias-de-viagens-e-escolha-do-regime-de-trabalho-uma-abordag?lang=pt-br> (accessed 08/23/2025).
Elldér, E. (2020) Telework and daily travel: New evidence from Sweden, Journal of Transport Geography, v. 86, p. 102777. DOI: 10.1016/j.jtrangeo.2020.102777. PMid:32834671. DOI: https://doi.org/10.1016/j.jtrangeo.2020.102777
Fisher, J.; J.C. Languilaire; R. Lawthom et al. (2020) Community, work, and family in times of COVID-19, Community Work & Family, v. 23, n. 3, p. 247-52. DOI: 10.1080/13668803.2020.1756568. DOI: https://doi.org/10.1080/13668803.2020.1756568
Góes, G.S.; F.S. Martins and J.A.S. Nascimento (2021) O Trabalho Remoto e a Pandemia: o que a PNAD Covid-19 nos Mostrou (Carta de Conjuntura n. 50). Brasília: IPEA. Available at: <https://www.ipea.gov.br/cartadeconjuntura/index.php/2021/02/o-trabalho-remoto-e-a-pandemia-o-que-a-pnad-covid-19-nos-mostrou/> (accessed 08/23/2025).
Góes, G.S.; J.A.S. Nascimento and F.S. Martins (2020) Potencial de Teletrabalho na Pandemia: um Retrato no Brasil e no Mundo (Carta de Conjuntura n. 47). Brasília: IPEA. Available at: <https://www.ipea.gov.br/cartadeconjuntura/index.php/2020/06/potencial-de-teletrabalho-na-pandemia-um-retrato-no-brasil-e-no-mundo/> (accessed 08/23/2025).
Gong, Z.; W. Liu and F. Zhang (2024) Residential location choices and commuting patterns considering telecommuting, Transport Policy, v. 153, p. 54-67. DOI: 10.1016/j.tranpol.2024.05.010. DOI: https://doi.org/10.1016/j.tranpol.2024.05.010
Goodman, L.A. (1961) Snowball sampling, Annals of Mathematical Statistics, v. 32, n. 1, p. 148-70. DOI: 10.1214/aoms/1177705148. DOI: https://doi.org/10.1214/aoms/1177705148
Green, N.; D. Tappin and T. Bentley (2020) Working from home before, during and after the COVID-19 pandemic: Implications for workers and organisations, New Zealand Journal of Employment Relations, v. 45, n. 2, p. 5-16. DOI: 10.24135/nzjer.v45i2.19. DOI: https://doi.org/10.24135/nzjer.v45i2.19
Haas, M.; R. Faber and M. Hamersma (2020) How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands, Transportation Research Interdisciplinary Perspectives, v. 6, p. 100150. DOI: 10.1016/j.trip.2020.100150. PMid:34171019. DOI: https://doi.org/10.1016/j.trip.2020.100150
Hair, J.F.; J.W. Black; B.J. Babin et al. (2010) Multivariate Data Analysis (7th ed.). London: Pearson Education Limited.
He, S.Y. and L. Hu (2015) Telecommuting, income, and out-of-home activities, Travel Behaviour & Society, v. 2, n. 3, p. 131-47. DOI: 10.1016/j.tbs.2014.12.003. DOI: https://doi.org/10.1016/j.tbs.2014.12.003
Hu, S. and P. Chen (2021) Who left riding transit? Examining socioeconomic disparities in the impact of COVID-19 on ridership, Transportation Research Part D, Transport and Environment, v. 90, p. 102654. DOI: 10.1016/j.trd.2020.102654. DOI: https://doi.org/10.1016/j.trd.2020.102654
Ilham, M.A.; A. Fonzone; G. Fountas et al. (2024) To move or not to move: a review of residential relocation trends after COVID-19, Cities, v. 151, p. 105078. DOI: 10.1016/j.cities.2024.105078. DOI: https://doi.org/10.1016/j.cities.2024.105078
James, G.; D. Witten; T. Hastie et al. (2013) An Introduction to Statistical Learning. New York: Springer. DOI: 10.1007/978-1-4614-7138-7. DOI: https://doi.org/10.1007/978-1-4614-7138-7
Kappler, L.B. and J.A. Silva (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, v. 123, p. 104102. DOI: 10.1016/j.jtrangeo.2024.104102. DOI: https://doi.org/10.1016/j.jtrangeo.2024.104102
Kass, G. (1980) An exploratory technique for investigating large quantities of categorical data, Applied Statistics, v. 29, n. 2, p. 119-27. DOI: 10.2307/2986296. DOI: https://doi.org/10.2307/2986296
Kyriazos, T. and M. Poga (2023) Dealing with multicollinearity in factor analysis: The problem, detections, and solutions, Open Journal of Statistics, v. 13, n. 3, p. 404-24. DOI: 10.4236/ojs.2023.133020. DOI: https://doi.org/10.4236/ojs.2023.133020
Lavieri, P.; B. Alves and O. Strambi (2013) Adoption of telework in Brazil: an exploratory analysis. In Proceedings of the 13th World Conference on Transport Research. Lyon: WCTR. Available at: <https://www.wctrs-society.com/wp-content/uploads/abstracts/rio/general/3422.pdf> (accessed 08/23/2025).
Lund, J.R. and P.L. Mokhtarian (1994) Telecommuting and residential location: theory and implications for commute travel in monocentric metropolis, Transportation Research Record, v. 1463, p. 10-14. Available at: <https://onlinepubs.trb.org/Onlinepubs/trr/1994/1463/1463-002.pdf> (accessed 08/23/2025).
McFadden, D. (1974) Conditional Logit Analysis of Qualitative Choice Behavior. In Zarembka, P. (ed.) Frontiers in Econometrics. New York: Academic Press, p. 105-142.
Melo, P.C. and J.A. Silva (2017) Home telework and household commuting patterns in Great Britain, Transportation Research Part A, Policy and Practice, v. 103, p. 1-24. DOI: 10.1016/j.tra.2017.05.011. DOI: https://doi.org/10.1016/j.tra.2017.05.011
Motte-Baumvol, B. and T. Schwanen (2024) Telework, travel times, and peak hour avoidance in England: An overview using travel times across five weekdays, Travel Behaviour & Society, v. 34, p. 100668. DOI: 10.1016/j.tbs.2023.100668. DOI: https://doi.org/10.1016/j.tbs.2023.100668
Nguyen, M.H. (2021) Factors influencing home-based telework in Hanoi (Vietnam) during and after the COVID-19 era, Transportation, v. 48, n. 6, p. 3207-38. DOI: 10.1007/s11116-021-10169-5. PMid:33518829. DOI: https://doi.org/10.1007/s11116-021-10169-5
Nilles, J.M. (1975) Telecommunications and organizational decentralization, IRE Transactions on Communications Systems, v. 23, n. 10, p. 1142-7. DOI: 10.1109/TCOM.1975.1092687. DOI: https://doi.org/10.1109/TCOM.1975.1092687
Nilles, J.M. (1991) Telecommuting and urban sprawl: mitigator or inciter, Transportation, v. 18, n. 4, p. 411-32. DOI: 10.1007/BF00186567. DOI: https://doi.org/10.1007/BF00186567
O’Brien, W. and F. Yazdani Aliabadi (2020) Does telecommuting save energy? A critical review of quantitative studies and their research methods, Energy and Building, v. 225, p. 110298. DOI: 10.1016/j.enbuild.2020.110298. PMid:32834440. DOI: https://doi.org/10.1016/j.enbuild.2020.110298
Olson, M.H. and S.B. Primps (1984) Working at home with computers: Work and nonwork issues, The Journal of Social Issues, v. 40, n. 4, p. 97-112. DOI: 10.1111/j.1540-4560.1984.tb00194.x. DOI: https://doi.org/10.1111/j.1540-4560.1984.tb00194.x
Pedreira Jr, J.U. and C.S. Pitombo (2024) Unveiling substitution patterns of work trips by teleworking and their associations with physical and virtual accessibility in the Brazilian COVID-19 crisis, Travel Behaviour & Society, v. 34, p. 100657. DOI: 10.1016/j.tbs.2023.100657. DOI: https://doi.org/10.1016/j.tbs.2023.100657
Pereira, R.H.M.; L. Warwar; J. Parga et al. (2021) Tendências e desigualdades da mobilidade urbana no Brasil I: o uso do transporte coletivo e individual (Texto para Discussão, n. 2673). Brasília: IPEA. Available at: <http://repositorio.ipea.gov.br/handle/11058/10713> (accessed 08/23/2025). DOI: https://doi.org/10.38116/td2673
Quinlan, J.R. (1993) C4.5: Programs for Machine Learning. San Mateo: Morgan Kaufmann Publishers.
Ramani, A.; J. Alcedo and N. Bloom (2024) How working from home reshapes cities, Proceedings of the National Academy of Sciences of the United States of America, v. 121, n. 45, p. e2408930121. DOI: 10.1073/pnas.2408930121. PMid:39471226. DOI: https://doi.org/10.1073/pnas.2408930121
Ravalet, E. and P. Rérat (2019) Teleworking: decreasing mobility or increasing tolerance of commuting distances, Built Environment, v. 45, n. 4, p. 582-602. DOI: 10.2148/benv.45.4.582. DOI: https://doi.org/10.2148/benv.45.4.582
Ryan, J.; R.H.M. Pereira and M. Andersson (2023) Accessibility and space-time differences in when and how different groups (choose to) travel, Journal of Transport Geography, v. 111, p. 103665. DOI: 10.1016/j.jtrangeo.2023.103665. DOI: https://doi.org/10.1016/j.jtrangeo.2023.103665
Shamshiripour, A.; E. Rahimi; R. Shabanpour et al. (2020) How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago, Transportation Research Interdisciplinary Perspectives, v. 7, p. 100216. DOI: 10.1016/j.trip.2020.100216. PMid:34173469. DOI: https://doi.org/10.1016/j.trip.2020.100216
Shibayama, T.; F. Sandholzer; B. Laa et al. (2021) Impact of COVID-19 lockdown on commuting: A multi-country perspective, European Journal of Transport and Infrastructure Research, v. 21, n. 1, p. 70-93. DOI: 10.18757/EJTIR.2021.21.1.5135. DOI: https://doi.org/10.18757/EJTIR.2021.21.1.5135
Silva, A.N.; C.S. Pitombo; J.U.P. Pedreira Jr et al. (2023) Changes in mobility and challenges to the transport sector in Brazil due to COVID-19, Transportation amid pandemics, p. 105-18.. .. DOI: 10.1016/B978-0-323-99770-6.00010-7. DOI: https://doi.org/10.1016/B978-0-323-99770-6.00010-7
Silva, J. and P.C. Melo (2018) Home telework, travel behavior, and land-use patterns: A path analysis of British single-worker households, Journal of Transport and Land Use, v. 11, n. 1. DOI: 10.5198/jtlu.2018.1134. DOI: https://doi.org/10.5198/jtlu.2018.1134
SOBRATT (2020) Orientação para Implantação e Prática do Teletrabalho e Home-Office. São Paulo: Sociedade Brasileira de Teletrabalho. Available at: <https://www.sobratt.org.br/site2015/wp-content/uploads/2020/12/Cartilha-Teletrabalho.pdf> (accessed 08/23/2025).
Soler, J.R.L.; P. Christidis and J.M. Vassallo (2023) Evolution of teleworking and urban mobility changes driven by the COVID-19 pandemic across European cities, Transportation Research Procedia, v. 69, p. 488-95. DOI: 10.1016/j.trpro.2023.02.199. DOI: https://doi.org/10.1016/j.trpro.2023.02.199
Soltani, A.; S.H. Hoseini and O. Talebi (2015) Walking to local destinations: perceived versus actual distance. Theoretical and Empirical Researches in Urban Management, v. 10, n. 3, p. 38-48. Available at: http://www.jstor.org/stable/24873534 (accessed 08/23/2025).
Suzuki Goshima, C.Y.; V.C. Dias; J.U. Pedreira Jr et al. (2023) Relationships between teleworking and travel behavior in the Brazilian COVID-19 crisis, Future Transportation, v. 3, n. 2, p. 739-67. DOI: 10.3390/futuretransp3020043. DOI: https://doi.org/10.3390/futuretransp3020043
Thulin, E.; B. Vilhelmson and L. Brundin (2023) Telework after confinement: Interrogating the spatiotemporalities of home-based work life, Journal of Transport Geography, v. 113, p. 103740. DOI: 10.1016/j.jtrangeo.2023.103740. DOI: https://doi.org/10.1016/j.jtrangeo.2023.103740
Voicu, M.-C. and A.-M. Babonea (2011) Using the snowball method in marketing research on hidden populations, Challenges of the Knowledge Society, v. 1, p. 1341-51.
Wang, X.; S.H. Kim and P.L. Mokhtarian (2023) Teleworking behavior pre-, during, and expected post-COVID: Identification and empirical description of trajectory types, Travel Behaviour & Society, v. 33, p. 100628. DOI: 10.1016/j.tbs.2023.100628. DOI: https://doi.org/10.1016/j.tbs.2023.100628
WHO (2020) Getting your Workplace Ready for COVID-19: How COVID-19 Spreads. Geneva: World Health Organization.
Witlox, F. (2007) Evaluating the reliability of reported distance data in urban travel behaviour analysis, Journal of Transport Geography, v. 15, n. 3, p. 172-83. DOI: 10.1016/j.jtrangeo.2006.02.012. DOI: https://doi.org/10.1016/j.jtrangeo.2006.02.012
Wöhner, F. (2022) Work flexibly, travel less? The impact of telework and flextime on mobility behavior in Switzerland, Journal of Transport Geography, v. 102, p. 103390. DOI: 10.1016/j.jtrangeo.2022.103390. DOI: https://doi.org/10.1016/j.jtrangeo.2022.103390
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