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Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: a structural equations analysis

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  • Donggen Wang

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  • Fion Law

Abstract

The objective of this paper is to contribute an empirical study to the literature on transportation impacts of Information and Communications Technologies (ICT). The structural equation model (SEM) is employed to analyze the impacts of ICT usage on time use and travel behavior. The sample is derived from the travel characteristic survey conducted in Hong Kong in 2002. The usage of ICT is defined as the experience of using e-mail, Internet service, video conferencing and videophone for either business or personal purposes. The results show that the use of ICT generates additional time use for out-of-home recreation activities and travel and increases trip-making propensity. Individuals at younger age or with higher household income are found to be more likely ICT users. The findings of this study provide further evidence on the complementarity effects of ICT on travel, suggesting that the wide application of ICT probably leads to more, not less, travel. The study also demonstrates the importance of considering the interactions between activity and travel for better understanding of the nature and magnitude of the impacts of ICT on time use and trip making behavior. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Donggen Wang & Fion Law, 2007. "Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: a structural equations analysis," Transportation, Springer, vol. 34(4), pages 513-527, July.
  • Handle: RePEc:kap:transp:v:34:y:2007:i:4:p:513-527
    DOI: 10.1007/s11116-007-9113-0
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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.
    2. Caroline Bayart & Patrick Bonnel, 2010. "Enquête déplacements web - face-à-face : quelle comparabilité ?," Post-Print halshs-00566236, HAL.
    3. repec:eee:transa:v:99:y:2017:i:c:p:61-79 is not listed on IDEAS
    4. Tomasz Stanisław Szopiński & Robert Nowacki, 2014. "Plane Ticket Price Dispersion in the Online Selling System in Poland," Contemporary Economics, University of Finance and Management in Warsaw, vol. 8(2), June.
    5. Luis Miranda-Moreno & Naveen Eluru & Martin Lee-Gosselin & Tyler Kreider, 2012. "Impact of ICT access on personal activity space and greenhouse gas production: evidence from Quebec City, Canada," Transportation, Springer, vol. 39(5), pages 895-918, September.
    6. Ben-Elia, Eran & Alexander, Bayarma & Hubers, Christa & Ettema, Dick, 2014. "Activity fragmentation, ICT and travel: An exploratory Path Analysis of spatiotemporal interrelationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 56-74.
    7. repec:eee:transa:v:103:y:2017:i:c:p:25-35 is not listed on IDEAS
    8. Oliver, Atara Stephanie, 2013. "Information Technology and Transportation: Substitutes or Complements?," MPRA Paper 46548, University Library of Munich, Germany.
    9. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters,in: Handbook of Choice Modelling, chapter 5, pages 101-130 Edward Elgar Publishing.
    10. Páez, Antonio & Moniruzzaman, Md. & Bourbonnais, Pierre-Leo & Morency, Catherine, 2013. "Developing a web-based accessibility calculator prototype for the Greater Montreal Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 103-115.
    11. Juan de Dios Ortúzar & Elisabetta Cherchi & Luis Ignacio Rizzi, 2014. "Transport research needs," Chapters,in: Handbook of Choice Modelling, chapter 29, pages 688-698 Edward Elgar Publishing.

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