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

  • P L Mokhtarian
  • I Salomon

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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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
Contact details of provider: Web page: http://www.pion.co.uk

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  1. Mokhtarian, Patricia L. & Salomon, Ilan, 1993. "Modeling the Choice of Telecommuting: Setting the Context," University of California Transportation Center, Working Papers qt0js2m5s7, University of California Transportation Center.
  2. Patricia Mokhtarian & Ilan Salomon, 2005. "Modeling the Choice of Telecommuting 2: A Case of the Preferred Impossible Alternative," Labor and Demography 0505009, EconWPA.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
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