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Don’t Work, Work at Home, or Commute? Discrete Choice Models of the Decision for San Francisco Bay Area Residents

  • Ory, D T
  • Mokhtarian, Patricia L

Using socio-demographic, personality, and attitudinal data from 1,680 residents of the San Francisco Bay Area, we develop and estimate binary, multinomial, and nested logit models of the choice to work or not, whether or not to work at home, and whether to commute all of the time or some of the time (either by only working part time, or by working a compressed work week, or by telecommuting some of the time). To our knowledge, these are the first models of all these choices simultaneously. This work is relevant both to travel demand modeling, which usually bases trip or activity generation models on a given set of employment status inputs, and to labor force engagement modeling, which typically ignores the impact of travelrelated variables. The model results indicate that the typical predictors of labor force engagement (gender, household income, and education) play an important role here, with family variables having an especially complex effect. Other interesting findings are that telecommuters tend to be adventure-seekers and home-based workers tend to be workaholics; those who like travel tend to commute five or more times per week; and mobility constraints are significant in the decisions to work part-time and to commute full-time.

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Paper provided by Institute of Transportation Studies, UC Davis in its series Institute of Transportation Studies, Working Paper Series with number qt71q8b94r.

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Date of creation: 01 Mar 2005
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Handle: RePEc:cdl:itsdav:qt71q8b94r
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  1. Horowitz, Joel L., 1991. "Reconsidering the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 25(6), pages 433-438, December.
  2. Bagley, Michael N. & Mokhtarian, Patricia L., 1997. "Analyzing the preference for non-exclusive forms of telecommuting: Modeling and policy implications," University of California Transportation Center, Working Papers qt7200521q, University of California Transportation Center.
  3. Hung, Rudy, 1996. "Using compressed workweeks to reduce work commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(1), pages 11-19, January.
  4. Patricia Mokhtarian & Ilan Salomon, 2005. "Modeling the Choice of Telecommuting 3: Identifying the Choice Set and Estimating Binary Choice Models for Technology-Based Alternatives," Labor and Demography 0505010, EconWPA.
  5. Clay, Michael J. & Mokhtarian, Patricia L., 2004. "Personal Travel Management: The Adoption and Consideration of Travel-Related Strategies," University of California Transportation Center, Working Papers qt3mw6d5hj, University of California Transportation Center.
  6. Ory, David T. & Mokhtarian, Patricia L. & Redmond, Lothlorien S. & Collantes, Gustavo O. & Choo, Sangho, 2004. "When is Commuting Desirable to the Individual?," University of California Transportation Center, Working Papers qt1nm9v26h, University of California Transportation Center.
  7. Redmond, Lothlorien, 2000. "Identifying and Analyzing Travel-Related Attitudinal, Personality, and Lifestyle Clusters in the San Francisco Bay Area," Institute of Transportation Studies, Working Paper Series qt0317h7v4, Institute of Transportation Studies, UC Davis.
  8. Mokhtarian, Patricia L & Salomon, Ilan & S, Lothlorien, 2001. "Understanding the Demand for Travel: It's Not Purely 'Derived'," University of California Transportation Center, Working Papers qt5bh2d8mh, University of California Transportation Center.
  9. Cogan, John F, 1981. "Fixed Costs and Labor Supply," Econometrica, Econometric Society, vol. 49(4), pages 945-63, June.
  10. Ory, David T. & Mokhtarian, Patricia L., 2005. "When is getting there half the fun? Modeling the liking for travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 97-123.
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