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Modeling the Choice of Telecommuting 2: A Case of the Preferred Impossible Alternative

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  • Mokhtarian, Patricia L.
  • Salomon, Ilan

Abstract

A conceptual model of the choice to telecommute was advanced in an earlier paper. In this paper we present empirical data from a nonrepresentative sample of 628 City of San Diego employees on key variables and relationships in that model. The relationships among possibility, preference, and choice are examined. A key finding is the existence of a large group of people (57% of the sample) for whom telecommuting is a preferred impossible alternative. Dichotomous and continuous constraints are distinguished, and three dichotomous constraints are defined. ’Lack of awareness’ is active for 4%, ’job unsuitability’ for 44%, and ’manager disapproval’ for 51% of the sample. For 68% of the sample, at least one of these constraints is active. Even among those for whom none of the dichotomous constraints is in force, most people do not choose telecommuting because of the presence of active continuous constraints. For only 11% of the entire sample, telecommuting is possible, preferred, and chosen. The potential impacts of self-selection bias are estimated, and sampling bias is qualitatively assessed. This analysis provides a crude but useful estimate of the potential of telecommuting in the population, and more specifically, the relative share of potential telecommuters who are prevented by key dichotomous constraints from choosing that option.

Suggested Citation

  • 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.
  • Handle: RePEc:cdl:uctcwp:qt7br7039r
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    Cited by:

    1. Lee-Gosselin, Martin & Miranda-Moreno, Luis F., 2009. "What is different about urban activities of those with access to ICTs? Some early evidence from Québec, Canada," Journal of Transport Geography, Elsevier, vol. 17(2), pages 104-114.
    2. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(1), pages 35-50, January.
    3. Mokhtarian, Patricia L. & Bagley, Michael N., 2000. "Modeling employees' perceptions and proportional preferences of work locations: the regular workplace and telecommuting alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 223-242, May.
    4. 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.
    5. Sumita Raghuram & Dong Fang, 2014. "Telecommuting and the role of supervisory power in China," Asia Pacific Journal of Management, Springer, vol. 31(2), pages 523-547, June.
    6. José M. Ortiz-Lozano & Pedro C. Martínez-Morán & Víctor L. de Nicolás, 2022. "Teleworking in the Public Administration: An Analysis Based on Spanish Civil Servants’ Perspectives During the Pandemic," SAGE Open, , vol. 12(1), pages 21582440221, March.
    7. Choo, Sangho & Mokhtarian, Patricia L. & Salomon, Ilan, 2002. "Impacts of Home-Based Telecommuting on Vehicle-Miles Traveled: A Nationwide Time Series Analysis," Institute of Transportation Studies, Working Paper Series qt2gj976x6, Institute of Transportation Studies, UC Davis.
    8. Walls, Margaret & Safirova, Elena, 2004. "A Review of the Literature on Telecommuting and Its Implications for Vehicle Travel and Emissions," RFF Working Paper Series dp-04-44, Resources for the Future.
    9. Antonio Páez & Darren M Scott, 2007. "Social Influence on Travel Behavior: A Simulation Example of the Decision to Telecommute," Environment and Planning A, , vol. 39(3), pages 647-665, March.
    10. Xinyi Wang & F. Atiyya Shaw & Patricia L. Mokhtarian & Giovanni Circella & Kari E. Watkins, 2023. "Combining disparate surveys across time to study satisfaction with life: the effects of study context, sampling method, and transport attributes," Transportation, Springer, vol. 50(2), pages 513-543, April.
    11. Tang, Wei & Mokhtarian, Patricia & Handy, Susan, 2008. "The Role of Neighborhood Characteristics in the Adoption and Frequency of Working at Home: Empirical Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt9rg8w9c4, Institute of Transportation Studies, UC Davis.
    12. Hynes, Mike, 2016. "Developing (tele)work? A multi-level sociotechnical perspective of telework in Ireland," Research in Transportation Economics, Elsevier, vol. 57(C), pages 21-31.
    13. Ipek N Sener & Chandra R Bhat, 2011. "A Copula-Based Sample Selection Model of Telecommuting Choice and Frequency," Environment and Planning A, , vol. 43(1), pages 126-145, January.
    14. 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.
    15. Mokhtarian, Patricia L. & Raney, Elizabeth A. & Salomon, Ilan, 1997. "Behavioral response to congestion: identifying patterns and socio-economic differences in adoption," Transport Policy, Elsevier, vol. 4(3), pages 147-160, July.
    16. Shafizadeh, K. & Niemeier, D. & Mokhtarian, P. & Salomon, I., 1998. "The Costs And Benefits Of Telecommuting: An Evaluation Of Macro-scale Literature," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1f01c191, Institute of Transportation Studies, UC Berkeley.
    17. Nicholas S. Caros & Jinhua Zhao, 2022. "Preparing urban mobility for the future of work," Papers 2201.01321, arXiv.org.
    18. Mokhtarian, Patricia L. & Salomon, Ilan & Saxena, Somitra & Sampath, Srikanth & Cheung, Peter & Le, Kate & Bagley, Michael, 1996. "Adoption of Telecommuting in Two California State Agencies," University of California Transportation Center, Working Papers qt2v63b7b8, University of California Transportation Center.
    19. 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.
    20. Thomas de Graaff & Piet Rietveld, 2004. "ICT and Substitution Between Out-of-Home and at-Home Work: The Importance of Timing," Environment and Planning A, , vol. 36(5), pages 879-896, May.
    21. 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.
    22. Jain, Taru & Currie, Graham & Aston, Laura, 2022. "COVID and working from home: Long-term impacts and psycho-social determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 52-68.
    23. Mokhtarian, Patricia L & Salomon, Ilan, 1998. "What Happens When Mobility-Inclined Market Segments Face Accessibility-Enhancing Policies?," University of California Transportation Center, Working Papers qt9ns6v74t, University of California Transportation Center.
    24. Ingrid Gould Ellen & Katherine Hempstead, 2002. "Telecommuting and the Demand for Urban Living: A Preliminary Look at White-collar Workers," Urban Studies, Urban Studies Journal Limited, vol. 39(4), pages 749-766, April.
    25. Patricia L. Mokhtarian, 1998. "A Synthetic Approach to Estimating the Impacts of Telecommuting on Travel," Urban Studies, Urban Studies Journal Limited, vol. 35(2), pages 215-241, February.

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