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Dynamic analysis of holiday travel behaviour with integrated multimodal travel information usage: A life-oriented approach

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  • Wang, Bobin
  • Shao, Chunfu
  • Ji, Xun

Abstract

The Integrated Multimodal Travel Information (IMTI) plays an important role in the evolution process of holiday travel behaviour, which is seldom investigated. To fill this gap, this study analyses holiday travel behaviour dynamics with IMTI usage, based on the life-oriented approach. IMTI usage is taken as a separate life domain in this study, and a two-way relationship between holiday travel biography and IMTI usage biography over the life course, is examined after controlling for the effects of residential, household structure, employment/education, and car ownership biographies. Based on the web-based life history survey data, statistical characteristics of mobilities in each life biography are first analysed. Then, different random-effects ordered logistic models are established to investigate the biographical interdependencies from three aspects: intra-domain interdependency, inter-domain interdependency and outer-domain interdependency. The results show that the life biography is not only affected by a personal life course, but also affected by external background of the times. Under the interaction of inner individual factors and outer environment factors, there is an obvious dynamic two-way relationship between holiday travel biography and IMTI usage biography. Meanwhile, residential, household structure, employment/education and car ownership biographies have significant effects on these two life biographies. Especially, the influence of long-term state dependence for different life domains, over the life course, is much more obvious when explaining holiday travel behaviour dynamics and IMTI usage mobilities. Therefore, the life-oriented approach provides a valid method for analysing the dynamics of holiday travel behaviour with IMTI usage.

Suggested Citation

  • Wang, Bobin & Shao, Chunfu & Ji, Xun, 2017. "Dynamic analysis of holiday travel behaviour with integrated multimodal travel information usage: A life-oriented approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 255-280.
  • Handle: RePEc:eee:transa:v:104:y:2017:i:c:p:255-280
    DOI: 10.1016/j.tra.2017.03.013
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    References listed on IDEAS

    as
    1. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt1676t0bp, University of California Transportation Center.
    2. Goulias, Konstadinos G., 1999. "Longitudinal analysis of activity and travel pattern dynamics using generalized mixed Markov latent class models," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 535-558, November.
    3. Grotenhuis, Jan-Willem & Wiegmans, Bart W. & Rietveld, Piet, 2007. "The desired quality of integrated multimodal travel information in public transport: Customer needs for time and effort savings," Transport Policy, Elsevier, vol. 14(1), pages 27-38, January.
    4. Cervero, Robert & Day, Jennifer, 2008. "Suburbanization and transit-oriented development in China," Transport Policy, Elsevier, vol. 15(5), pages 315-323, September.
    5. Farag, Sendy & Lyons, Glenn, 2012. "To use or not to use? An empirical study of pre-trip public transport information for business and leisure trips and comparison with car travel," Transport Policy, Elsevier, vol. 20(C), pages 82-92.
    6. Meg Huby & Nick Burkitt, 2000. "Is the New Deal for Transport Really Better for Everyone? The Social Policy Implications of the UK 1998 White Paper on Transport," Environment and Planning C, , vol. 18(4), pages 379-392, August.
    7. Arentze, Theo A. & Ettema, Dick & Timmermans, Harry J.P., 2011. "Estimating a model of dynamic activity generation based on one-day observations: Method and results," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 447-460, February.
    8. Sigrun Beige & Kay Axhausen, 2012. "Interdependencies between turning points in life and long-term mobility decisions," Transportation, Springer, vol. 39(4), pages 857-872, July.
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    10. Frank Primerano & Michael Taylor & Ladda Pitaksringkarn & Peter Tisato, 2008. "Defining and understanding trip chaining behaviour," Transportation, Springer, vol. 35(1), pages 55-72, January.
    11. Wang, Bobin & Shao, Chunfu & Li, Juan & Weng, Jinxian & Ji, Xun, 2015. "Holiday travel behavior analysis and empirical study under integrated multimodal travel information service," Transport Policy, Elsevier, vol. 39(C), pages 21-36.
    12. Roorda, Matthew J. & Ruiz, Tomás, 2008. "Long- and short-term dynamics in activity scheduling: A structural equations approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 545-562, March.
    13. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    14. Tommy Gärling & Kay Axhausen, 2003. "Introduction: Habitual travel choice," Transportation, Springer, vol. 30(1), pages 1-11, February.
    15. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    16. Jeffrey LaMondia & Chandra Bhat, 2012. "A conceptual and methodological framework of leisure activity loyalty accommodating the travel context," Transportation, Springer, vol. 39(2), pages 321-349, March.
    17. Davison, Lisa & Ryley, Tim, 2013. "The relationship between air travel behaviour and the key life stages of having children and entering retirement," Journal of Transport Geography, Elsevier, vol. 26(C), pages 78-86.
    18. Veronique Acker & Frank Witlox, 2011. "Commuting trips within tours: how is commuting related to land use?," Transportation, Springer, vol. 38(3), pages 465-486, May.
    19. Khandker Habib & Eric Miller, 2008. "Modelling daily activity program generation considering within-day and day-to-day dynamics in activity-travel behaviour," Transportation, Springer, vol. 35(4), pages 467-484, July.
    20. Jenelius, Erik & Mattsson, Lars-Göran & Levinson, David, 2011. "Traveler delay costs and value of time with trip chains, flexible activity scheduling and information," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 789-807, June.
    21. Veronique Van Acker & Frank Witlox & Bert Van Wee, 2007. "The Effects of the Land Use System on Travel Behavior: A Structural Equation Modeling Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(4), pages 331-353, May.
    22. Zhang, Junyi, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.
    23. Grigolon, Anna B. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2012. "The influence of low-fare airlines on vacation choices of students: Results of a stated portfolio choice experiment," Tourism Management, Elsevier, vol. 33(5), pages 1174-1184.
    24. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt2t18b4q9, University of California Transportation Center.
    25. Van Acker, Veronique & Mokhtarian, Patricia L. & Witlox, Frank, 2014. "Car availability explained by the structural relationships between lifestyles, residential location, and underlying residential and travel attitudes," Transport Policy, Elsevier, vol. 35(C), pages 88-99.
    26. Zhang, Junyi & Yu, Biying & Chikaraishi, Makoto, 2014. "Interdependences between household residential and car ownership behavior: a life history analysis," Journal of Transport Geography, Elsevier, vol. 34(C), pages 165-174.
    27. Karthik Srinivasan & Sudhakar Athuru, 2005. "Analysis of within-household effects and between-household differences in maintenance activity allocation," Transportation, Springer, vol. 32(5), pages 495-521, September.
    28. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    29. Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
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