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Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach

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  • Kim, Seung-Nam
  • Choo, Sangho
  • Mokhtarian, Patricia L.

Abstract

Although telecommuting has become a popular option as a new mode of working, no theoretical or empirical consensus has been reached on its potential for substituting or generating travel. This study aims to evaluate the impact of a household head’s telecommuting on household travel while controlling for the interdependence within a household and across travel purposes, by applying seemingly unrelated censored regression models to data from the 2006 Household Travel Survey in the Seoul Metropolitan Area. In terms of vehicle kilometers traveled, the analysis shows that telecommuters’ non-commute and non-work trips as well as his/her household members’ non-work trips are greater than those of non-telecommuters and their household members’, whereas telecommuting partially reduces commuting trips. However, an analysis stratified by household type reveals that the difference for household members is significant only in households with less than one vehicle per employed member: in such households (with insufficient vehicles available), the vehicle otherwise used for mandatory travel, such as for the household head’s commute, can be used for non-commute purposes or by other household members if the household head does not use it for commuting. This implies that, when vehicle travel budgets of a given household are limited, this compensatory travel mechanism can make optimum use of limited resources (i.e., vehicles), but offsets the travel-substituting effect of telecommuting. Accordingly, to more precisely estimate the impact of telecommuting-promotion policies and apply them as part of travel demand management strategies, their counteracting effects among household members should be considered.

Suggested Citation

  • Kim, Seung-Nam & Choo, Sangho & Mokhtarian, Patricia L., 2015. "Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 197-214.
    • Handle: RePEc:eee:transa:v:80:y:2015:i:c:p:197-214
    DOI: 10.1016/j.tra.2015.07.018
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    References listed on IDEAS

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    1. Mokhtarian, Patricia L., 1991. "Telecommuting and Travel: State of the Practice, State of the Art," University of California Transportation Center, Working Papers qt4zc486ph, University of California Transportation Center.
    2. Dissanayake, Dilum & Morikawa, Takayuki, 2008. "Impact assessment of satellite centre-based telecommuting on travel and air quality in developing countries by exploring the link between travel behaviour and urban form," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 883-894, July.
    3. Golob, Thomas F., 1996. "A Model of Household Demand for Activity Participation and Mobility," University of California Transportation Center, Working Papers qt00g9770f, University of California Transportation Center.
    4. Cao, Xinyu (Jason) & Mokhtarian, Patricia L. & Handy, Susan L., 2009. "The relationship between the built environment and nonwork travel: A case study of Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 548-559, June.
    5. Mokhtarian, Patricia L. & Handy, Susan L. & Salomon, Ilan, 1995. "Methodological issues in the estimation of the travel, energy, and air quality impacts of telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(4), pages 283-302, July.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Ryuichi Kitamura, 2009. "Life-style and travel demand," Transportation, Springer, vol. 36(6), pages 679-710, November.
    8. Patricia L Mokhtarian & Gustavo O Collantes & Carsten Gertz, 2004. "Telecommuting, Residential Location, and Commute-Distance Traveled: Evidence from State of California Employees," Environment and Planning A, , vol. 36(10), pages 1877-1897, October.
    9. Graaff, Thomas de, 2004. "On the substitution and complimentarity between telework and travel : a review and application," Serie Research Memoranda 0016, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    10. Plaut, Pnina O., 2006. "The intra-household choices regarding commuting and housing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 561-571, August.
    11. Mokhtarian, Patricia L & Koenig, Brett E & Henderson, Dennis K, 1995. "The Travel and Emissions Impacts of Telecommuting for the State of California Telecommuting Pilot Project," University of California Transportation Center, Working Papers qt6rw695kc, University of California Transportation Center.
    12. Mokhtarian, Patricia & Varma, Krishna, 1998. "The Trade-Off Between Trips and Distance Traveled in Analyzing the Emissions Impacts of Center-Based Telecommuting," Institute of Transportation Studies, Working Paper Series qt43b756qg, Institute of Transportation Studies, UC Davis.
    13. Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    14. Mokhtarian, Patricia L & Koenig, Brett E & Henderson, Dennis K, 1995. "The Travel and Emissions Impacts of Telecommuting for the State of California Telecommuting Pilot Project," University of California Transportation Center, Working Papers qt6rw695kc, University of California Transportation Center.
    15. Anthony M Townsend, 2007. "Seoul: Birth of a Broadband Metropolis," Environment and Planning B, , vol. 34(3), pages 396-413, June.
    16. McDonald, Noreen C., 2008. "Household interactions and children’s school travel: the effect of parental work patterns on walking and biking to school," Journal of Transport Geography, Elsevier, vol. 16(5), pages 324-331.
    17. Golob, Thomas F. & Beckmann, Martin J. & Zahavi, Yacov, 1981. "A utility-theory travel demand model incorporating travel budgets," Transportation Research Part B: Methodological, Elsevier, vol. 15(6), pages 375-389, December.
    18. Patricia L. Mokhtarian, 1998. "A Synthetic Approach to Estimating the Impacts of Telecommuting on Travel," Urban Studies, Urban Studies Journal Limited, vol. 35(2), pages 215-241, February.
    19. Pengyu Zhu, 2013. "Telecommuting, Household Commute and Location Choice," Urban Studies, Urban Studies Journal Limited, vol. 50(12), pages 2441-2459, September.
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