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Modeling the Choice of Telecommuting: 3. Identifying the Choice Set and Estimating Binary Choice Models for Technology-Based Alternatives

Author

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  • P L Mokhtarian

    (Department of Civil and Environmental Engineering and Institute of Transportation Studies, University of California, Davis, CA 95616, USA)

  • I Salomon

    (Department of Geography, Hebrew University, Jerusalem 91905, Israel)

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.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:envira:v:28:y:1996:i:10:p:1877-1894
    DOI: 10.1068/a281877
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    References listed on IDEAS

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    1. repec:cdl:uctcwp:qt08s817dr is not listed on IDEAS
    2. 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.
    3. repec:cdl:uctcwp:qt29z267km is not listed on IDEAS
    4. 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.
    5. 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.
    6. repec:cdl:uctcwp:qt2kn111m8 is not listed on IDEAS
    7. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
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    1. 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.
    2. Mokhtarian, Patricia L., 2020. "Wenn die Telekommunikation den Verkehr so gut ersetzen kann, warum gibt es dann immer mehr Staus?," Forschungsberichte der ARL: Aufsätze, in: Reutter, Ulrike & Holz-Rau, Christian & Albrecht, Janna & Hülz, Martina (ed.), Wechselwirkungen von Mobilität und Raumentwicklung im Kontext gesellschaftlichen Wandels, volume 14, pages 167-195, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    3. Singh, Rajesh & Orazem, Peter F. & Song, Moohoun, 2006. "Broadband Access, Telecommuting and the Urban-Rural Digital Divide," Working Papers 18214, Iowa State University, Department of Economics.
    4. Becky P. Y. Loo & Bo Wang, 2018. "Factors associated with home-based e-working and e-shopping in Nanjing, China," Transportation, Springer, vol. 45(2), pages 365-384, March.
    5. repec:cdl:itsdav:qt5cs0q85s is not listed on IDEAS
    6. repec:cdl:itsrrp:qt49c1n7hg is not listed on IDEAS
    7. 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.
    8. repec:cdl:itsdav:qt9rg8w9c4 is not listed on IDEAS
    9. Haddad, Hebba & Lyons, Glenn & Chatterjee, Kiron, 2009. "An examination of determinants influencing the desire for and frequency of part-day and whole-day homeworking," Journal of Transport Geography, Elsevier, vol. 17(2), pages 124-133.
    10. repec:cdl:itsdav:qt61t9j2vb is not listed on IDEAS
    11. repec:cdl:uctcwp:qt29z267km is not listed on IDEAS
    12. Nijland, Linda & Dijst, Martin, 2015. "Commuting-related fringe benefits in the Netherlands: Interrelationships and company, employee and location characteristics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 358-371.
    13. Felipe Calvo, David, 2024. "Efectos psicológicos del teletrabajo sobre los trabajadores: Evidencia en España [Psychological Effects of Teleworking on Employees: Evidence from Spain]," MPRA Paper 122797, University Library of Munich, Germany.
    14. Nayak, Suchismita & Pandit, Debapratim, 2021. "Potential of telecommuting for different employees in the Indian context beyond COVID-19 lockdown," Transport Policy, Elsevier, vol. 111(C), pages 98-110.
    15. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2015. "Towards a microeconomic framework for modelling the joint choice of activity–travel behaviour and ICT use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 92-112.
    16. José M. Ortiz-Lozano & Pedro C. Martínez-Morán & Víctor L. de Nicolás, 2022. "Teleworking in the Public Administration: An Analysis Based on Spanish Civil Servants’ Perspectives During the Pandemic," SAGE Open, , vol. 12(1), pages 21582440221, March.
    17. repec:cdl:uctcwp:qt3dj9c6sd is not listed on IDEAS
    18. repec:cdl:itsdav:qt13x2q3rb is not listed on IDEAS
    19. Hynes, Mike, 2016. "Developing (tele)work? A multi-level sociotechnical perspective of telework in Ireland," Research in Transportation Economics, Elsevier, vol. 57(C), pages 21-31.
    20. 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.
    21. repec:cdl:itsdav:qt71q8b94r is not listed on IDEAS
    22. Mokhtarian, Patricia L & Henderson, Dennis, 2000. "Analyzing the Travel Behavior of Home-Based Workers in the 1991 CALTRANS Statewide Travel Survey," University of California Transportation Center, Working Papers qt6qp7q90q, University of California Transportation Center.

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