Transportation

, Volume 45, Issue 2, pp 479–497 | Cite as

Epilogue: the new frontiers of behavioral research on the interrelationships between ICT, activities, time use and mobility

  • Eran Ben-Elia
  • Glenn Lyons
  • Patricia L. Mokhtarian
Article
  • 152 Downloads

Abstract

This special issue is a product of the international symposium on “ICT, Activities, Time Use and Travel” that was hosted by Nanjing University from 16 to 18 July 2016. The symposium brought together leading scholars from all over the world to congregate with Chinese scholars and students and to share and discuss the research frontiers at this nexus. It was motivated by a recognition of the changing goals and scope of Information and Communications Technology (ICT) research in conjunction with the development of new ICTs and the emergence of new ICT-enabled behaviors. Consequently, the symposium and later this special issue have drawn together significant scholarly contributions that provide new behavioral insights as well as new theoretical and methodological advances. The symposium culminated in three roundtable panel discussions addressing the following cross-cutting themes: (1) time use while travelling (led by Glenn Lyons); (2) ICT and travel behavior (led by Pat Mokhtarian); and (3) Big Data, activities and urban space (led by Eran Ben-Elia). In this epilogue to the special issue we offer a distillation of these discussions.

Keywords

ICT Time use Big data Activities Travel behavior 

References

  1. Ben-Elia, E., et al.: Activity fragmentation, ICT and travel: an exploratory path analysis of spatiotemporal interrelationships. Transp. Res. Part A: Policy Pract. 68, 56–74 (2014)Google Scholar
  2. Breiman, L.: Statistical modeling: two cultures. Stat. Sci. 16(3), 199–231 (2001). (Also see the comments following this article, in the same issue) CrossRefGoogle Scholar
  3. Brownstone, D., Bunch, D.S., Train, K.: Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles. Transp. Res. Part B: Methodol. 34(5), 315–338 (2000)CrossRefGoogle Scholar
  4. Cao, X., Mokhtarian, P.L., Handy, S.L.: Examining the impacts of residential self-selection on travel behaviour: a focus on empirical findings. Transp. Rev. 29(3), 359–395 (2009)CrossRefGoogle Scholar
  5. Couclelis, H.: Rethinking time geography in the information age. Environ. Plan. A 41(7), 1556–1575 (2009)CrossRefGoogle Scholar
  6. Engeström, Y., Miettinen, R., Punamäki, R.-L. (eds.): Perspectives on Activity Theory. Cambridge University Press, Cambridge (1999)Google Scholar
  7. Ericsson: Mobility Report. https://www.ericsson.com/res/docs/2016/ericsson-mobility-report-2016.pdf (2016). Accessed 28 July 2017
  8. Gripsrud, M., Hjorthol, R.: Working on the train: from ‘dead time’ to productive and vital time. Transportation 39, 941–956 (2012)CrossRefGoogle Scholar
  9. Hägerstrand, T.: What about people in regional science? Reg. Sci. Assoc. Pap. 24(1), 7–21 (1970)CrossRefGoogle Scholar
  10. Lyons, G., Urry, J.: Travel time use in the information age. Transp. Res. Part A 39, 257–276 (2005)Google Scholar
  11. Lyons, G., Jain, J., Weir, I.: Changing times—a decade of empirical insight into the experience of rail passengers in Great Britain. J. Transp. Geogr. 57, 94–104 (2016)CrossRefGoogle Scholar
  12. Malokin, A., Mokhtarian, P.L., Circella, G.: An investigation of methods for imputing attitudes from one sample to another. School of Civil and Environmental Engineering, Georgia Institute of Technology. http://hdl.handle.net/1853/58418 (2017). Accessed 12 July 2017
  13. Mokhtarian, P.L.: A typology of relationships between telecommunications and transportation. Transp. Res. Part A: Gen. 24(3), 231–242 (1990)CrossRefGoogle Scholar
  14. Mokhtarian, P.L.: Social networks and telecommunications. In: Kitamura, R., Yoshii, T., Yamamoto, T. (eds.) The Expanding Sphere of Travel Behaviour Research: Selected Papers from the 11th International Conference on Travel Behaviour Research, pp. 429–438. Emerald Group, Bingley (2009)Google Scholar
  15. Mokhtarian, P.L., Salomon, I.: How derived is the demand for travel? Some conceptual and measurement considerations. Transp. Res. Part A 35, 695–719 (2001)CrossRefGoogle Scholar
  16. Mokhtarian, P.L., Tal, G.: Impacts of ICT on travel behavior: a tapestry of relationships. In: Rodrigue, J.-P., Notteboom, T., Shaw, J. (eds.) The Sage Handbook of Transport Studies, pp. 241–260. Sage Publications, London (2013)CrossRefGoogle Scholar
  17. Russell, M., Price, R., Signal, L., Stanley, J., Gerring, Z., Cumming, J.: What do passengers do during travel time? Structured observations on buses and trains. J. Public Transp. 14(3), 123–146 (2011)CrossRefGoogle Scholar
  18. Watt, L., Urry, J.: Moving methods: travelling times. Environ. Plan. D 26, 860–874 (2008)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Geography and Environmental DevelopmentBen-Gurion University of the NegevBeershebaIsrael
  2. 2.University of the West of EnglandBristolUK
  3. 3.School of Civil and Environmental EngineeringGeorgia Institute of TechnologyAtlantaUSA

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