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Potential of telecommuting for different employees in the Indian context beyond COVID-19 lockdown

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  • Nayak, Suchismita
  • Pandit, Debapratim

Abstract

During the last decade, telecommuting has become quite popular whereas, in developing countries like India, this phenomenon is limited to a select group of employees due to various factors. The COVID-19 pandemic, the nationwide lockdown and the subsequent new normal scenario, has made the adoption of telecommuting by different type of employees indispensable thus giving us the opportunity to conduct empirical research towards understanding the factors influencing telecommuting adoption, productivity and activity-travel behaviour during telecommuting in India. The data used in this survey has been collected in two phases to capture the evolving situation of the pandemic. The analysis has been done based on revealed preference data considering three time periods i.e., before COVID-19, during COVID-19 nationwide lockdown, after the termination of the lockdown (after first wave) and for the post-COVID 19 scenario where stated preferences are considered. In the first step, telecommuting behaviour, activity-travel pattern during telecommuting and productivity is estimated based on aggregate sample data for various socio-economic groups for the period before and during COVID-19 (1. during lockdown 2. during new normal). Next, factors influencing telecommuting adoption and productivity are determined which has been used in our stated preference survey conducted in the second phase. A logistic regression model has been developed to test the association of existing telecommuting behaviour, activity-travel pattern, factors influencing productivity, socio-economic characteristics and occupation categories with future telecommuting adoption. The findings of this research can not only provide insights to urban planners and policymakers to design sustainable travel demand management strategies but can also help employers to design appropriate telecommuting strategies at the organization level which will help to attain the desired productivity levels. Our empirical analysis reveal two major findings, i.e., a large percentage of employees can achieve their desired productivity by working from home and the ‘rebound’ effect as identified in literature seems to have little impact in the Indian context. The novelty of this research lies in the comprehension of the adoption process, and the behavioural analysis including adoption, productivity, activity, and travel of telecommuters in the context of a developing country for the first time.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:trapol:v:111:y:2021:i:c:p:98-110
    DOI: 10.1016/j.tranpol.2021.07.010
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    1. Mannering, Jill S. & Mokhtarian, Patricia L., 1995. "Modeling the Choice of Telecommuting Frequency in California: An Exploratory Analysis," University of California Transportation Center, Working Papers qt08s817dr, University of California Transportation Center.
    2. Joanne Pratt, 2000. "Asking the right questions about telecommuting: Avoiding pitfalls in surveying homebased work," Transportation, Springer, vol. 27(1), pages 99-116, February.
    3. Crowley, Frank & Daly, Hannah & Doran, Justin & Ryan, Geraldine, 2020. "COVID-19, social distancing, remote work and transport choice," SRERC Working Paper Series SRERCWP2020-4, University College Cork (UCC), Spatial and Regional Economic Research Centre (SRERC).
    4. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions," Transport Policy, Elsevier, vol. 99(C), pages 95-119.
    5. Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    6. Mokhtarian, Patricia L & Koenig, Brett E & Henderson, Dennis K, 1995. "The Travel and Emissions Impacts of Telecommuting for the State of California Telecommuting Pilot Project," University of California Transportation Center, Working Papers qt6rw695kc, University of California Transportation Center.
    7. 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.
    8. 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.
    9. Mokhtarian, Patricia L. & Salomon, Ilan, 1996. "Modeling the Choice of Telecommuting 2: A Case of the Preferred Impossible Alternative," University of California Transportation Center, Working Papers qt7br7039r, University of California Transportation Center.
    10. 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.
    11. Borkowski, Przemysław & Jażdżewska-Gutta, Magdalena & Szmelter-Jarosz, Agnieszka, 2021. "Lockdowned: Everyday mobility changes in response to COVID-19," Journal of Transport Geography, Elsevier, vol. 90(C).
    12. P L Mokhtarian & I Salomon, 1996. "Modeling the Choice of Telecommuting: 3. Identifying the Choice Set and Estimating Binary Choice Models for Technology-Based Alternatives," Environment and Planning A, , vol. 28(10), pages 1877-1894, October.
    13. Crowley, Frank & Doran, Justin, 2020. "Covid-19, occupational social distancing and remote working potential in Ireland," SRERC Working Paper Series SRERCWP2020-1, University College Cork (UCC), Spatial and Regional Economic Research Centre (SRERC).
    14. Varma, Krishna & Ho, Chaang-Iuan & Stanek, David & Mokhtarian, Patricia, 1998. "Duration and Frequency of Telecenter Use: Once a Telecommuter, Always a Telecommuter?," Institute of Transportation Studies, Working Paper Series qt61t9j2vb, Institute of Transportation Studies, UC Davis.
    15. Mokhtarian, Patricia & Varma, Krishna, 1998. "The Trade-Off Between Trips and Distance Traveled in Analyzing the Emissions Impacts of Center-Based Telecommuting," Institute of Transportation Studies, Working Paper Series qt43b756qg, Institute of Transportation Studies, UC Davis.
    16. P L Mokhtarian & I Salomon, 1996. "Modeling the Choice of Telecommuting: 2. A Case of the Preferred Impossible Alternative," Environment and Planning A, , vol. 28(10), pages 1859-1876, October.
    17. 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).
    18. Haddad, Hebba & Lyons, Glenn & Chatterjee, Kiron, 2009. "An examination of determinants influencing the desire for and frequency of part-day and whole-day homeworking," Journal of Transport Geography, Elsevier, vol. 17(2), pages 124-133.
    19. Andrea F. Glogger & Thomas W. Zängler & Georg Karg, 2008. "The Impact of Telecommuting on Households’ Travel Behaviour, Expenditures and Emissions," Advances in Spatial Science, in: Chris Jensen-Butler & Birgitte Sloth & Morten Marott Larsen & Bjarne Madsen & Otto Anker Nielsen (ed.), Road Pricing, the Economy and the Environment, chapter 21, pages 411-425, Springer.
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