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Modeling the Desire to Telecommute: The Importance of Attitudinal Factors in Behavioral Models

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  • Mokhtarian, Patricia L.
  • Salomon, Ilan

Abstract

This paper begins to operationalize a previously published conceptual model of the individual decision to telecommute. Using survey data from 628 employees of the City of San Diego, hypothesized drives to telecommute and constraints on/facilitators of telecommuting are measured. A binary logit model of the preference to telecommute from home is estimated, having a p2 of 0.68. The explanatory variables include attitudinal and factual information. Factor analysis is performed on two groups of attitudinal questions, identifying a total of 17 (oblique) factors which can be classified as drives and constraints. Additional measures are created from other data in the survey, usually objective sociodemographic characteristics. Variables representing at least four of the five hypothesized drives (work, family, independence/leisure, and travel) are significant in the final model. Variables from four of the ten groups of constraints (job suitability, social/professional and household interaction concerns, and a perceived benefit of commuting) are significant, primarily representing internal rather than external constraints. The results clearly demonstrate the importance of attitudinal measures over sociodemographic ones, as the same demographic characteristics (such as the presence of children, commute time) will have different effects on preference for different people.

Suggested Citation

  • 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.
  • Handle: RePEc:cdl:uctcwp:qt29z267km
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    1. repec:cdl:uctcwp:qt1d5742g7 is not listed on IDEAS
    2. repec:cdl:uctcwp:qt7br7039r is not listed on IDEAS
    3. 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.
    4. Novaco, Raymond W. & Stokols, Daniel & Milanesi, Louis, 1990. "Objective and Subjective Dimensions Of Travel Impedance as Determinants Of Commuting Stress," University of California Transportation Center, Working Papers qt5jq8164z, University of California Transportation Center.
    5. P L Mokhtarian & I Salomon, 1996. "Modeling the Choice of Telecommuting: 2. A Case of the Preferred Impossible Alternative," Environment and Planning A, , vol. 28(10), pages 1859-1876, October.
    6. repec:cdl:uctcwp:qt10m3x16k is not listed on IDEAS
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