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Modeling the Choice of Telecommuting Frequency in California: An Exploratory Analysis

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  • Mannering, Jill S.
  • Mokhtarian, Patricia L.

Abstract

This study explores the individual's choice of telecommuting frequency as a function of demographic, travel, work and attitudinal factors. To do this, multinomial logit models are estimated using data collected in a recent survey of employees from three public agencies in California. Separate models are estimated, one for data collected from the Franchise Tax Board in Sacramento, one for data from the Public Utilities Commission in San Francisco, and one for data collected from employees of the City of San Diego. The results show that the most important variables in explaining the choice of frequency of telecommuting from home were the presence of small children in the household (irrespective of respondent gender), the number of people in the household, gender of respondent, number of vehicles in the household, whether respondent recently changed departure time for personal reasons, degree of control over scheduling of different job tasks, supervisory status of respondent, the ability to borrow a computer from work if necessary, and a family orientation. The empirical analysis also shows that model results are not transferable among the three organizations studied.

Suggested Citation

  • 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.
  • Handle: RePEc:cdl:uctcwp:qt08s817dr
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    Cited by:

    1. 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.
    2. Walls, Margaret & Safirova, Elena, 2004. "A Review of the Literature on Telecommuting and Its Implications for Vehicle Travel and Emissions," Discussion Papers dp-04-44, Resources For the Future.
    3. Miruna Sarbu, 2015. "Determinants of Work-at-Home Arrangements for German Employees," LABOUR, CEIS, vol. 29(4), pages 444-469, December.
    4. Bhat, Chandra R. & Sivakumar, Aruna & Axhausen, Kay W., 2003. "An analysis of the impact of information and communication technologies on non-maintenance shopping activities," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 857-881, December.
    5. Golob, Thomas F., 2002. "travelbehavior.com - Activity Approaches to Modeling the Effects of Information Technology on Personal Travel Behavior," University of California Transportation Center, Working Papers qt9t40s1mc, University of California Transportation Center.
    6. Tang, Wei & Mokhtarian, Patricia L & Handy, Susan L, 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 qt13x2q3rb, Institute of Transportation Studies, UC Davis.
    7. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    8. Bayarma Alexander & Martin Dijst & Dick Ettema, 2010. "Working from 9 to 6? An analysis of in-home and out-of-home working schedules," Transportation, Springer, vol. 37(3), pages 505-523, May.
    9. Mokhtarian, Patricia L. & Salomon, Ilan & Saxena, Somitra & Sampath, Srikanth & Cheung, Peter & Le, Kate & Bagley, Michael, 1996. "Adoption of Telecommuting in Two California State Agencies," University of California Transportation Center, Working Papers qt2v63b7b8, University of California Transportation Center.

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    Keywords

    Social and Behavioral Sciences;

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