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Modeling the choice of telecommuting: 3. Identifying the choice set and estimating binary choice models for technology-based alternatives

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  • P L Mokhtarian
  • I Salomon

Abstract

In previous papers in this series we have presented a conceptual model of the individual decision to telecommute and explored relationships among constraints, preference, and choice. In a related paper we developed a binary model of the preference for home-based telecommuting. Noting that there is a wide gap between preferring to telecommute (88% of the sample) and actually telecommuting (13%), in this paper we develop binary logit models of telecommuting adoption. Two approaches to dealing with constraints are compared: incorporating them directly into the utility function, and using them to define the choice set. Models using the first approach appear to be statistically superior in this analysis, explaining 63 - 64% of the information in the data. Variables significant to choice include those relating to work and travel drives, and awareness, manager support, job suitability, technology, and discipline constraints. The best model was used to analyze the impact of relaxing three key constraints on the 355 people in the sample for whom telecommuting was previously identified to be a preferred impossible alternative (PIA). When unawareness, lack of manager support, and job unsuitability constraints are relaxed, 28% of the people in the PIA category would be expected to adopt telecommuting. The importance of behavioral models to forecast telecommuting adoption accurately is emphasized and is suggested to have wider implications for predicting technology-based activity changes.

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Bibliographic Info

Article provided by Pion Ltd, London in its journal Environment and Planning A.

Volume (Year): 28 (1996)
Issue (Month): 10 (October)
Pages: 1877-1894

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Handle: RePEc:pio:envira:v:28:y:1996:i:10:p:1877-1894

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Web page: http://www.pion.co.uk

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References

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  1. 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.
  2. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the Desire to Telecommute: The Importance of Attitudinal Factors in Behavioral Models," University of California Transportation Center, Working Papers qt29z267km, University of California Transportation Center.
  3. 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.
  4. Mokhtarian, Patricia L. & Salomon, Ilan, 1995. "Modeling the Preference for Telecommuting: Measuring Attitudes and Other Variables," University of California Transportation Center, Working Papers qt2kn111m8, University of California Transportation Center.
  5. Genç, Murat, 1994. "Aggregation and heterogeneity of choice sets in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 28(1), pages 11-22, February.
  6. P L Mokhtarian & I Salomon, 1994. "Modeling the choice of telecommuting: setting the context," Environment and Planning A, Pion Ltd, London, vol. 26(5), pages 749-766, May.
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Cited by:
  1. Thomas de Graaff & Piet Rietveld, 2003. "ICT and Substitution between Out-of-home and At-home Work; the Importance of Timing," Tinbergen Institute Discussion Papers 03-061/3, Tinbergen Institute.
  2. Mokhtarian, Patricia L & Ory, David T, 2005. "Don't Work, Work at Home, or Commute? Discrete Choice Models of the Decision for San Francisco Bay Area Residents," Institute of Transportation Studies, Working Paper Series qt5cs0q85s, Institute of Transportation Studies, UC Davis.
  3. Ory, David T. & Mokhtarian, Patricia L., 2005. "Modeling the Joint Labor-Commute Engagement Decisions of San Francisco Bay Area Residents," University of California Transportation Center, Working Papers qt7600m6qv, University of California Transportation Center.
  4. 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.
  5. 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.
  6. Song, Moohoun & Orazem, Peter & Singh, Rajesh, 2006. "Broadband Access, Telecommuting and the Urban-Rural Digital Divide," Staff General Research Papers 12495, Iowa State University, Department of Economics.
  7. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the Desire to Telecommute: The Importance of Attitudinal Factors in Behavioral Models," University of California Transportation Center, Working Papers qt29z267km, University of California Transportation Center.
  8. Ory, D T & Mokhtarian, Patricia L, 2005. "Don’t Work, Work at Home, or Commute? Discrete Choice Models of the Decision for San Francisco Bay Area Residents," Institute of Transportation Studies, Working Paper Series qt71q8b94r, Institute of Transportation Studies, UC Davis.
  9. Wilton, Robert D. & Páez, Antonio & Scott, Darren M., 2011. "Why do you care what other people think? A qualitative investigation of social influence and telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 269-282, May.

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