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On modeling telecommuting behavior: option, choice, and frequency

Author

Listed:
  • 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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    References listed on IDEAS

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    1. 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.
    2. Margaret Walls & Safirova, Elena & Jiang, Yi, 2006. "What Drives Telecommuting? The Relative Impact of Worker Demographics, Employer Characteristics, and Job Types," RFF Working Paper Series dp-06-41, Resources for the Future.
    3. Basar, Gözen & Bhat, Chandra, 2004. "A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 889-904, December.
    4. Elaine McCrate, 2005. "Flexible Hours, Workplace Authority, And Compensating Wage Differentials In The Us," Feminist Economics, Taylor & Francis Journals, vol. 11(1), pages 11-39.
    5. 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.
    6. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    7. Rose, J. & Hensher, D. A., 2004. "Modelling agent interdependency in group decision making," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(1), pages 63-79, January.
    8. Walls, Margaret & Safirova, Elena, 2004. "What Have We Learned from a Recent Survey of Teleworkers? Evaluating the 2002 SCAG Survey," RFF Working Paper Series dp-04-43, Resources for the Future.
    9. Lonnie Golden, 2008. "Limited Access: Disparities in Flexible Work Schedules and Work-at-home," Journal of Family and Economic Issues, Springer, vol. 29(1), pages 86-109, March.
    10. Claire Dambrin, 2004. "How does telework influence the manager-employee relationship?," Post-Print hal-00480623, HAL.
    11. repec:dau:papers:123456789/1086 is not listed on IDEAS
    12. Claire Dambrin, 2004. "How does telework influence the manager-employee relationship?," International Journal of Human Resources Development and Management, Inderscience Enterprises Ltd, vol. 4(4), pages 358-374.
    13. A S Fotheringham, 1983. "Some Theoretical Aspects of Destination Choice and Their Relevance to Production-Constrained Gravity Models," Environment and Planning A, , vol. 15(8), pages 1121-1132, August.
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