, Volume 34, Issue 4, pp 513–527 | Cite as

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

  • Donggen Wang
  • Fion Yuk Ting Law
Original Paper


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.


Information and Communication Technologies (ICT) Structural equations model Time use Travel behavior 



The authors would like to thank Prof. Patricia Mokhtarian and the anonymous reviewers for their comments and suggestions, which helped improve the quality of the paper. This research is sponsored by a research grant from Hong Kong Research Grant Council (RGC) (HKBU2441/05H) and a Faculty Research Grant from Hong Kong Baptist University (FRG/02-03/II-55).


  1. Balepur, R.N, Varma, K.V., Mokhtarian, P.L.: Transportation impacts of center-based telecommuting: interim findings from the neighborhood telecenters project. Transportation 25, 287–306 (1998)CrossRefGoogle Scholar
  2. Bollen, K.A.: Structural Equations with Latent Variables. Wiley, New York (1989)Google Scholar
  3. Casas, J., Zmud, J., Bricka, S.: Impact of shopping via Internet on travel for shopping purposes. Paper presented at the 80th Annual Meeting of Transportation Research Board, Washington, D.C. (2001)Google Scholar
  4. Chen, C., Mokhtarian, P.L.: Tradeoffs between time allocations to maintenance activities/travel and discretionary activities/travel. Transportation 33, 223–240 (2006)CrossRefGoogle Scholar
  5. Choo, S., Mokhtarian, P.L.: Does telecommunications affect passenger travel, or vice versa? Structural equation models of aggregate U.S. time series data using composite indices. Transport. Res. Rec. 1926, 224–232 (2005)CrossRefGoogle Scholar
  6. CSD (Census and Statistics Department): Hong Kong Annual Digest of Statistics 2005. Hong Kong (2005)Google Scholar
  7. Douma, F., Wells, K., Horan, T.A., Krizek, K.J.: ICT and travel in the twin cities metropolitan area: enacted patterns between Internet use and working and shopping trips. Paper presented at the 83rd Annual Meeting of Transportation Research Board, Washington, D.C. (2004)Google Scholar
  8. Farag, S., Weltevreden, J., Van Rietbergen, T., Dijst, M.L.: E-shopping in the Netherlands: Does geography matter? Paper presented at the 83rd Annual Meeting of Transportation Research Board, Washington, D.C. (2004)Google Scholar
  9. Farag, S., Schwanen, T., Dijst, M, Faber, J.: Shopping online and/or in store? A structural equation model of the relationships between e-shopping and in-store shopping. Transport. Res. A 41A, 125–141 (2007)Google Scholar
  10. Golob, T.F.: Review structural equation modeling for travel behaviour research. Transport. Res. B 37, 1–5 (2003)CrossRefGoogle Scholar
  11. Golob, T.F., McNally M.G.: A model of activity participation and travel interactions between household heads. Transport. Res. B 31, 177–194 (1997)CrossRefGoogle Scholar
  12. Golob, T.F., Regan, A.C.: Impacts of information technology on personal travel and commercial vehicle operations: research challenges and opportunities. Transport. Res. C 9, 87–121 (2001)CrossRefGoogle Scholar
  13. Hamer, R., Kroes, E., Van Ooststroom, H.: Teleworking in the Netherlands: an evaluation of changes in travel behavior. Transportation 18, 365–382 (1991)CrossRefGoogle Scholar
  14. Harvey, A.S., Taylor, M.E.: Activity settings and travel behavior: a social contact perspective. Transportation 27, 53–73 (2000)CrossRefGoogle Scholar
  15. Hägerstrand, T.: What about people in regional science? Proc. Reg. Sci. Assoc. 24, 7–24 (1970)Google Scholar
  16. Hjorthol, R.J.: The relation between daily travel and use of the home computer. Transport. Res. 36A, 437–452 (2002)Google Scholar
  17. Kim, T.G., Goulias, K.G.: Cross sectional and longitudinal relationships among information and telecommunication technologies, daily time allocation to activity and travel, and modal split using structural equation modeling. Paper presented at the 83rd Annual Meeting of Transportation Research Board, Washington, D.C. (2004)Google Scholar
  18. Kuppam, A.R., Pendyala, R.M.: A structural equations analysis of commuters’ activity and travel patterns. Transportation 28, 33–54 (2001)CrossRefGoogle Scholar
  19. Levinson, D.M.: Space, money, life-stage, and the allocation of time. Transportation 26, 141–171 (1999)CrossRefGoogle Scholar
  20. Lu, X., Pas, E.I.: Socio-demographics, activity participation and travel behaviour. Transport. Res. A 33, 1–18 (1999)CrossRefGoogle Scholar
  21. Mokhtarian, P.L.: Telecommunications and travel: the case for complementarity. J. Indust. Ecol. 6, 43–57 (2003)CrossRefGoogle Scholar
  22. Mokhtarian, P.L.: A conceptual analysis of the transportation impacts of B2C E-commerce. Transportation 31, 257–284 (2004)CrossRefGoogle Scholar
  23. Mokhtarian, P.L., Meenakshisundaram R.: Beyond tele-substitution: disaggregate longitudinal structural equations modeling of communication impacts. Transport. Res. C 7, 33–52 (1999)CrossRefGoogle Scholar
  24. Mokhtarian, P.L., Salomon, I.: Emerging travel patterns: do telecommunications make a difference? In: Mahmassani, H.S. (ed.) Perpetual Motion: Travel Behavior Research Opportunities and Application Challenges, pp. 143–182. Elsevier (2002)Google Scholar
  25. Pendyala, R.M., Goulias, K.G., Kitamura, R.: Impact of telecommuting on spatial and temporal pattern of household travel. Transportation 18, 383–409 (1991)CrossRefGoogle Scholar
  26. Plaut, P: Transportation-communication relationships in industry. Transport. Res. A 31A, 419–429 (1997)Google Scholar
  27. Salomon, I.: Telecommunications and travel: substitution or modified mobility? J. Transport. Econ. Pol. 19, 219–235 (1985)Google Scholar
  28. Salomon, I.: Telecommunications and travel relationships: a review. Transport. Res. A 20A, 223–238 (1986)CrossRefGoogle Scholar
  29. Salomon, I., Salomon S.: Telecommuting-the employee’s perspective. Technol. Forecast. Soc. Change 25, 15–28 (1984)CrossRefGoogle Scholar
  30. Selvanathan, E.A., Selvanathan, S.: The demand for transport and communication in the United Kingdom and Australia. Transport. Res. B 28B, 1–99 (1994)CrossRefGoogle Scholar
  31. Srinivasan, K.K., Athuru, S.R.: Modelling interaction between Internet communication and travel activities: Evidence from Bay Area, California, travel survey 2000. In: Transportation Research Record: J. Transpor. Res. Bd., No. 1894, TRB, National Research Council, Washington, D.C., 230–240 (2004)Google Scholar
  32. Schwanen, T., Dijst, M.: Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration. Transport. Res. A 36, 573–592 (2002)Google Scholar
  33. Transport Department: Travel Characteristics Survey 2002: Technical Report, vol. 1, pp. 5–27 (2003)Google Scholar
  34. Vilhelmson, B., Thulin, E.: Is regular work at fixed places fading away? The development of ICT-based and travel-based modes of work in Sweden. Environ. Plan. A 33, 1015–1029 (2001)CrossRefGoogle Scholar
  35. Visser, E.J., Lanzendorf, M.: Mobility and accessibility effects of b2c E-commerce: A literature survey. J. Soc. Econ. Geogr. 95, 189–205 (2004)Google Scholar
  36. Wang, D., Law, Y.T.F.: Activity and time use patterns of Hong Kong residents: Results derived from trip diaries. Proceedings of the 7th Conference of Hong Kong Society for Transportation Studies, 170–179 (2002)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.Department of GeographyHong Kong Baptist UniversityKowloon TongHong Kong

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