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Do Telecommunications Affect Passenger Travel or Vice Versa? Structural Equation Models of Aggregate U.S. Time Series Data Using Composite Indexes

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  • Choo, Sangho
  • Mokhtarian, Patricia L

Abstract

This study explores the aggregate causal relationships between telecommunications and travel in a comprehensive framework, considering their demand, supply, and costs, together with land use, economic activity, and sociodemographic variables. On the basis of a hypothesized conceptual model, composite indexes were developed for endogenous variable categories (telecommunications and travel demand, supply, costs, land use, and economic activity) by confirmatory factor analysis, with the use of national time series data (1950–2000) in the United States. Then, single-equation and structural equation models for telecommunications (telephone calls and mobile phone subscribers, separately) and travel were estimated, with the composite indexes and sociodemographic measures used as explanatory variables. Overall, the model results suggest that the aggregate relationship between actual amounts of travel and telecommunications is complementarity, not substitution. That is, as telecommunications demand increases, travel demand increases, and vice versa. In addition, it was found that the causal effects of travel demand on telecommunications demand were larger than those in the reverse direction. Note: Reprinted with permission of the Transportation Research Board. None of this material may be presented to imply endorsement by TRB of a product, method, practice, or policy.

Suggested Citation

  • Choo, Sangho & Mokhtarian, Patricia L, 2005. "Do Telecommunications Affect Passenger Travel or Vice Versa? Structural Equation Models of Aggregate U.S. Time Series Data Using Composite Indexes," Institute of Transportation Studies, Working Paper Series qt2zp5b7zv, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt2zp5b7zv
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    1. Selvanathan, E. A. & Selvanathan, Saroja, 1994. "The demand for transport and communication in the United Kingdom and Australia," Transportation Research Part B: Methodological, Elsevier, vol. 28(1), pages 1-9, February.
    2. Mokhtarian, Patricia L., 1990. "A Typology of Relationships Between Telecommunications And Transportation," University of California Transportation Center, Working Papers qt4rx589m0, University of California Transportation Center.
    3. Patricia L. Mokhtarian, 2002. "Telecommunications and Travel: The Case for Complementarity," Journal of Industrial Ecology, Yale University, vol. 6(2), pages 43-57, April.
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    Cited by:

    1. Dal Fiore, Filippo & Mokhtarian, Patricia L. & Salomon, Ilan & Singer, Matan E., 2014. "“Nomads at last”? A set of perspectives on how mobile technology may affect travel," Journal of Transport Geography, Elsevier, vol. 41(C), pages 97-106.
    2. Julsrud, Tom Erik & Hjorthol, Randi & Denstadli, Jon Martin, 2012. "Business meetings: do new videoconferencing technologies change communication patterns?," Journal of Transport Geography, Elsevier, vol. 24(C), pages 396-403.
    3. Brown, Colby & Balepur, Prashant & Mokhtarian, Patricia L., 2005. "Communication Chains: A Methodology for Assessing the Effects of the Internet on Communication and Travel," University of California Transportation Center, Working Papers qt4cf351bc, University of California Transportation Center.
    4. Susilo, Yusak O. & Waygood, E. Owen D., 2012. "A long term analysis of the mechanisms underlying children’s activity-travel engagements in the Osaka metropolitan area," Journal of Transport Geography, Elsevier, vol. 20(1), pages 41-50.
    5. Mokhtarian, Patricia L. & Neufeld, Amanda J. & Dong, Zhi & Circella, Giovanni, 2013. "Did Free Wi-Fi Make a Difference to Amtrak’s Capitol Corridor Service? An Evaluation of the Impact on Riders and Ridership," Institute of Transportation Studies, Working Paper Series qt8vz6m3tc, Institute of Transportation Studies, UC Davis.
    6. Choo, Sangho & Mokhtarian, Patricia L., 2007. "Telecommunications and travel demand and supply: Aggregate structural equation models for the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 4-18, January.
    7. Sungtaek Choi & Sangho Choo & Sujae Kim, 2020. "Is the Relationship between Transportation and Communications Industries Complementary or Substitutional? An Asian Countries-Based Empirical Analysis Using Input-Output Accounts," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    8. Zhi Dong & Patricia Mokhtarian & Giovanni Circella & James Allison, 2015. "The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?," Transportation, Springer, vol. 42(1), pages 123-142, January.
    9. Susilo, Yusak O. & Waygood , E. Owen D., 2011. "A long term analysis of the mechanisms underlying children’s activity-travel engagements in the Osaka metropolitan area," Working papers in Transport Economics 2011:17, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

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