IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v179y2024ics0965856423003087.html
   My bibliography  Save this article

An investigation of individual-level telework arrangements in the COVID-era

Author

Listed:
  • Asmussen, Katherine E.
  • Mondal, Aupal
  • Batur, Irfan
  • Dirks, Abbie
  • Pendyala, Ram M.
  • Bhat, Chandra R.

Abstract

With work arrangements experiencing dramatic changes over the past three years due to the COVID-19 pandemic, and the possibility that altered work arrangements may persist well into the future, the implications of teleworking on activity-travel behavior are potentially profound. This paper aims to substantially add to the body of knowledge about the present and future of telework in the wake of the pandemic through a rigorous analysis of telework arrangements between two distinct time periods. The paper focuses on three key aspects of telework, including whether to telework or not, frequency of telework, and location of telework. Behavioral data for this study is derived from a workplace location choice survey conducted across Texas in February-March 2022, which included a recall component to obtain workplace location choice information in the pre-pandemic period. The evolution of telework arrangements between the pre-and after-pandemic periods is explored through a joint model system estimated using a joint multivariate methodology. Results show that, After COVID, the population of workers is generally inclined toward a hybrid work arrangement, with an overall tendency to engage in a higher frequency of teleworking than Before COVID. Finally, teleworkers have a higher propensity to work only from home as opposed to working only from a third workplace or from a combination of home and a third workplace. Overall, our results indicate that telework arrangements may remain at an elevated level into the future, with home serving as the dominant telework location. These findings suggest that transportation demand forecasting models need to be updated to reflect higher levels of teleworking, as well as the heterogeneity across individuals in teleworking adoption, frequency, and location.

Suggested Citation

  • Asmussen, Katherine E. & Mondal, Aupal & Batur, Irfan & Dirks, Abbie & Pendyala, Ram M. & Bhat, Chandra R., 2024. "An investigation of individual-level telework arrangements in the COVID-era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:transa:v:179:y:2024:i:c:s0965856423003087
    DOI: 10.1016/j.tra.2023.103888
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856423003087
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2023.103888?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonathan Stiles & Michael J. Smart, 2021. "Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers," Transportation, Springer, vol. 48(5), pages 2461-2491, October.
    2. Tahlyan, Divyakant & Said, Maher & Mahmassani, Hani & Stathopoulos, Amanda & Walker, Joan & Shaheen, Susan, 2022. "For whom did telework not work during the Pandemic? understanding the factors impacting telework satisfaction in the US using a multiple indicator multiple cause (MIMIC) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 387-402.
    3. Lavieri, Patrícia S. & Dai, Qichun & Bhat, Chandra R., 2018. "Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 527-544.
    4. Gema Zamarro & María J. Prados, 2021. "Gender differences in couples’ division of childcare, work and mental health during COVID-19," Review of Economics of the Household, Springer, vol. 19(1), pages 11-40, March.
    5. Ludivine Martin & Laetitia Hauret & Chantal Fuhrer, 2022. "Digitally transformed home office impacts on job satisfaction, job stress and job productivity. COVID-19 findings," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-23, March.
    6. Dansie, B. R., 1985. "Parameter estimability in the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 19(6), pages 526-528, December.
    7. Ton, Danique & Arendsen, Koen & de Bruyn, Menno & Severens, Valerie & van Hagen, Mark & van Oort, Niels & Duives, Dorine, 2022. "Teleworking during COVID-19 in the Netherlands: Understanding behaviour, attitudes, and future intentions of train travellers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 55-73.
    8. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum, 2017. "Trade and Manufacturing Jobs in Germany," American Economic Review, American Economic Association, vol. 107(5), pages 337-342, May.
    9. Vincenzo Galasso & Martial Foucault, 2020. "Working during COVID-19: Cross-country evidence from real-time survey data," OECD Social, Employment and Migration Working Papers 246, OECD Publishing.
    10. Lu, Xun & White, Halbert, 2014. "Robustness checks and robustness tests in applied economics," Journal of Econometrics, Elsevier, vol. 178(P1), pages 194-206.
    11. Juan Ramón López Soler & Panayotis Christidis & José Manuel Vassallo, 2021. "Teleworking and Online Shopping: Socio-Economic Factors Affecting Their Impact on Transport Demand," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    12. Pengyu Zhu & Liping Wang & Yanpeng Jiang & Jiangping Zhou, 2018. "Metropolitan size and the impacts of telecommuting on personal travel," Transportation, Springer, vol. 45(2), pages 385-414, March.
    13. Bauer Anja & Keveloh Kristin & Mamertino Mariano & Weber Enzo, 2023. "Competing for Jobs: How COVID-19 Changes Search Behaviour in the Labour Market," German Economic Review, De Gruyter, vol. 24(4), pages 323-347, December.
    14. Jeffrey LaMondia & Chandra Bhat, 2012. "A conceptual and methodological framework of leisure activity loyalty accommodating the travel context," Transportation, Springer, vol. 39(2), pages 321-349, March.
    15. Jeremy Phillipson & Matthew Gorton & Roger Turner & Mark Shucksmith & Katie Aitken-McDermott & Francisco Areal & Paul Cowie & Carmen Hubbard & Sara Maioli & Ruth McAreavey & Diogo Souza-Monteiro & Rob, 2020. "The COVID-19 Pandemic and Its Implications for Rural Economies," Sustainability, MDPI, vol. 12(10), pages 1-9, May.
    16. 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.
    17. Ettema, Dick, 2010. "The impact of telecommuting on residential relocation and residential preferences: A latent class modelling approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 7-24.
    18. Paula Rodríguez-Modroño, 2021. "Non-standard work in unconventional workspaces: Self-employed women in home-based businesses and coworking spaces," Urban Studies, Urban Studies Journal Limited, vol. 58(11), pages 2258-2275, August.
    19. Bunch, David S., 1991. "Estimability in the Multinomial Probit Model," University of California Transportation Center, Working Papers qt1gf1t128, University of California Transportation Center.
    20. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    21. Mohammad M. Hamed & Fred L. Mannering, 1993. "Modeling Travelers' Postwork Activity Involvement: Toward a New Methodology," Transportation Science, INFORMS, vol. 27(4), pages 381-394, November.
    22. Minh Hieu Nguyen, 2021. "Factors influencing home-based telework in Hanoi (Vietnam) during and after the COVID-19 era," Transportation, Springer, vol. 48(6), pages 3207-3238, December.
    23. Bhat, Chandra R. & Sardesai, Rupali, 2006. "The impact of stop-making and travel time reliability on commute mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 709-730, November.
    24. Groen, Bianca A.C. & van Triest, Sander P. & Coers, Michael & Wtenweerde, Neeke, 2018. "Managing flexible work arrangements: Teleworking and output controls," European Management Journal, Elsevier, vol. 36(6), pages 727-735.
    25. Aizhan Tursunbayeva & Stefano Di Lauro & Gilda Antonelli, 2022. "Remote Work at the Time of COVID-19 Pandemic and Beyond: A Scoping Review," Springer Books, in: Subhra R Mondal & Francesca Di Virgilio & Subhankar Das (ed.), HR Analytics and Digital HR Practices, chapter 0, pages 127-169, Springer.
    26. Rossetti, Tomás & Guevara, C. Angelo & Galilea, Patricia & Hurtubia, Ricardo, 2018. "Modeling safety as a perceptual latent variable to assess cycling infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 252-265.
    27. 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.
    28. Zhang, Shihang & Moeckel, Rolf & Moreno, Ana Tsui & Shuai, Bin & Gao, Jie, 2020. "A work-life conflict perspective on telework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 51-68.
    29. Melo, Patrícia C. & de Abreu e Silva, João, 2017. "Home telework and household commuting patterns in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 1-24.
    30. Bhat, Chandra R., 2018. "New matrix-based methods for the analytic evaluation of the multivariate cumulative normal distribution function," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 238-256.
    31. Abay Asfaw, 2022. "Racial and Ethnic Disparities in Teleworking Due to the COVID-19 Pandemic in the United States: A Mediation Analysis," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    32. Kazekami, Sachiko, 2020. "Mechanisms to improve labor productivity by performing telework," Telecommunications Policy, Elsevier, vol. 44(2).
    33. Purificación López-Igual & Paula Rodríguez-Modroño, 2020. "Who is Teleworking and Where from? Exploring the Main Determinants of Telework in Europe," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. de la Torre-Ruiz, José Manuel & Ferrón-Vílchez, Vera, 2024. "Determinants of managerial perceptions of the impact of telework: The effect of information communication technology support, trust, and frequency of communication," Technological Forecasting and Social Change, Elsevier, vol. 203(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    2. Kogus, Ayelet & Brůhová Foltýnová, Hana & Gal-Tzur, Ayelet & Shiftan, Yuval & Vejchodská, Eliška & Shiftan, Yoram, 2022. "Will COVID-19 accelerate telecommuting? A cross-country evaluation for Israel and Czechia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 291-309.
    3. Matthias Sweet & Darren M Scott, 2024. "What might working from home mean for the geography of work and commuting in the Greater Golden Horseshoe, Canada?," Urban Studies, Urban Studies Journal Limited, vol. 61(3), pages 567-588, February.
    4. Stefaniec, Agnieszka & Brazil, William & Whitney, Warren & Caulfield, Brian, 2022. "Desire to work from home: Results of an Irish study," Journal of Transport Geography, Elsevier, vol. 104(C).
    5. João de Abreu e Silva, 2022. "Residential preferences, telework perceptions, and the intention to telework: insights from the Lisbon Metropolitan Area during the COVID‐19 pandemic," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 142-161, November.
    6. Carlos A. Arbelaez-Velasquez & Diana Giraldo & Santiago Quintero, 2022. "Analysis of a Teleworking Technology Adoption Case: An Agent-Based Model," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    7. Teresa Cuerdo-Vilches & Miguel Ángel Navas-Martín & Ignacio Oteiza, 2021. "Working from Home: Is Our Housing Ready?," IJERPH, MDPI, vol. 18(14), pages 1-28, July.
    8. Caulfield, Brian & Charly, Anna, 2022. "Examining the potential environmental and travel time saved benefits of remote working hubs," Transport Policy, Elsevier, vol. 127(C), pages 139-147.
    9. Barbour, Natalia & Abdel-Aty, Mohamed & Sevim, Alican, 2024. "Intended work from home frequency after the COVID-19 pandemic and the role of socio-demographic, psychological, disability, and work-related factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    10. Jose Alberto Lara-Pulido & Adan L. Martinez-Cruz, 2023. "Stated benefits of teleworking in Mexico City: a discrete choice experiment on office workers," Transportation, Springer, vol. 50(5), pages 1743-1807, October.
    11. Ozbilen, Basar & Wang, Kailai & Akar, Gulsah, 2021. "Revisiting the impacts of virtual mobility on travel behavior: An exploration of daily travel time expenditures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 49-62.
    12. Friederike Paetz & Winfried J. Steiner, 2017. "The benefits of incorporating utility dependencies in finite mixture probit models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 793-819, July.
    13. Heng Z. Chen & Frank Lupi & John P. Hoehn, 1999. "An Empirical Assessment of Multinomial Probit and Logit Models for Recreation Demand," Chapters, in: Joseph A. Herriges & Catherine L. Kling (ed.), Valuing Recreation and the Environment, chapter 5, pages 141-162, Edward Elgar Publishing.
    14. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    15. Claudiu George Bocean & Luminita Popescu & Anca Antoaneta Varzaru & Costin Daniel Avram & Anica Iancu, 2023. "Work-Life Balance and Employee Satisfaction during COVID-19 Pandemic," Sustainability, MDPI, vol. 15(15), pages 1-15, July.
    16. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    17. Minh Hieu Nguyen & Jimmy Armoogum, 2021. "Perception and Preference for Home-Based Telework in the COVID-19 Era: A Gender-Based Analysis in Hanoi, Vietnam," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    18. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    19. Hirte, Georg & Laes, Renée & Gerike, Regine, 2023. "Working from self-driving cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    20. Nadezda Krasilnikova & Meike Levin-Keitel, 2022. "Telework as a Game-Changer for Sustainability? Transitions in Work, Workplace and Socio-Spatial Arrangements," Sustainability, MDPI, vol. 14(11), pages 1-13, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:179:y:2024:i:c:s0965856423003087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.