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On modeling telecommuting behavior: option, choice, and frequency

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  • Palvinder Singh
  • Rajesh Paleti
  • Syndney Jenkins
  • Chandra Bhat

Abstract

The current study contributes to the already substantial scholarly literature on telecommuting by estimating a joint model of three dimensions—option, choice and frequency of telecommuting. In doing so, we focus on workers who are not self-employed workers and who have a primary work place that is outside their homes. The unique methodological features of this study include the use of a general and flexible generalized hurdle count model to analyze the precise count of telecommuting days per month, and the formulation and estimation of a model system that embeds the count model within a larger multivariate choice framework. The unique substantive aspects of this study include the consideration of the “option to telecommute” dimension and the consideration of a host of residential neighborhood built environment variables. The 2009 NHTS data is used for the analysis, and allows us to develop a current perspective of the process driving telecommuting decisions. This data set is supplemented with a built environment data base to capture the effects of demographic, work-related, and built environment measures on the telecommuting-related dimensions. In addition to providing important insights for policy analysis, the results in this paper indicate that ignoring the “option” dimension of telecommuting can, and generally will, lead to incorrect conclusions regarding the behavioral processes governing telecommuting decisions. The empirical results have implications for transportation planning analysis as well as for the worker recruitment/retention and productivity literature. Copyright Springer Science+Business Media, LLC. 2013

Suggested Citation

  • 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.
    • Handle: RePEc:kap:transp:v:40:y:2013:i:2:p:373-396
    DOI: 10.1007/s11116-012-9429-2
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    1. Khandker Nurul Habib & Ph. D. & PEng, 2020. "On the Factors Influencing the Choices of Weekly Telecommuting Frequencies of Post-secondary Students in Toronto," Papers 2004.04683, arXiv.org.
    2. 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.
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    4. 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.
    5. Valentin Kuleto & Milena P. Ilić & Nevenka Popović Šević & Marko Ranković & Dušan Stojaković & Milutin Dobrilović, 2021. "Factors Affecting the Efficiency of Teaching Process in Higher Education in the Republic of Serbia during COVID-19," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    6. Stefanie Kley & Thordis Reimer, 2023. "Exploring the Gender Gap in Teleworking from Home. The Roles of Worker’s Characteristics, Occupational Positions and Gender Equality in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 185-206, August.
    7. 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.
    8. Chunjiang Li & Eva Thulin & Yanwei Chai, 2023. "Changes in Everyday Internet Use and Home Activity During and After Pandemic‐Related Lockdowns: A Case Study in Shuangjing Subdistrict, Beijing," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 114(2), pages 117-132, April.
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    11. Nayak, Suchismita & Pandit, Debapratim, 2021. "Potential of telecommuting for different employees in the Indian context beyond COVID-19 lockdown," Transport Policy, Elsevier, vol. 111(C), pages 98-110.
    12. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    13. Nicholas S. Caros & Jinhua Zhao, 2022. "Preparing urban mobility for the future of work," Papers 2201.01321, arXiv.org.
    14. 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.
    15. 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.
    16. Chandra R. Bhat & Rajesh Paleti & Palvinder Singh, 2014. "A Spatial Multivariate Count Model For Firm Location Decisions," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 462-502, June.
    17. Shao, Jing & Yang, Hangjun & Xing, Xiaoqiang & Yang, Liu, 2016. "E-commerce and traffic congestion: An economic and policy analysis," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 91-103.
    18. Varineja Drašler & Jasna Bertoncelj & Mojca Korošec & Tanja Pajk Žontar & Nataša Poklar Ulrih & Blaž Cigić, 2021. "Difference in the Attitude of Students and Employees of the University of Ljubljana towards Work from Home and Online Education: Lessons from COVID-19 Pandemic," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    19. 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).
    20. Budnitz, Hannah & Tranos, Emmanouil & Chapman, Lee, 2020. "Telecommuting and other trips: an English case study," Journal of Transport Geography, Elsevier, vol. 85(C).
    21. Bernardo, Christina & Paleti, Rajesh & Hoklas, Megan & Bhat, Chandra, 2015. "An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 71-91.
    22. Hambly, Helen & Lee, Jamie (Donghoon), 2019. "The rural telecommuter surplus in Southwestern Ontario, Canada," Telecommunications Policy, Elsevier, vol. 43(3), pages 278-286.
    23. Hirte, Georg & Laes, Renée, 2022. "Working from self-driving cars," CEPIE Working Papers 01/22, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    24. 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.
    25. Jinjia Liang & Tomio Miwa & Takayuki Morikawa, 2023. "Preferences and Expectations of Japanese Employees toward Telecommuting Frequency in the Post-Pandemic Era," Sustainability, MDPI, vol. 15(16), pages 1-16, August.

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