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Triggers of behavioral change: Longitudinal analysis of travel behavior, household composition and spatial characteristics of the residence

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  • Lee, Jae Hyun
  • Davis, Adam W.
  • Goulias, Konstadinos G.

Abstract

Longitudinal data have the potential to reveal the causal mechanism underlying changes in observed behavior, can protect us from finding spurious relationships, study time precedence, and offer strength in helping discover association among variables. In this paper, we expand our previous analysis of the only longitudinal travel behavior database in the US that has ten waves (observation time points). The analysis here is using data from the two-day Puget Sound Transportation Panel (PSTP) travel diary and 230 households participating in all ten waves of the panel. The main objective of this analysis is to identify what triggers behavioral change in activity and travel and to quantify and compare the size of these triggering effects using different methods. Our search for triggers includes the birth of a child, child leaving the household, and the entry or exit from the labor force of a household member. In the land use changes we identify moves from high accessibility and diverse environments to lower accessibility and less diverse places and find that diversity is key in changing behavior. The method used to analyze the data is a longitudinal Mixed Markov Latent Class analysis that allows to not only account for behavioral heterogeneity at each time of observation but to also test for the existence of multiple latent trajectories of change and the role played by triggers in shaping these trajectories.

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  • Lee, Jae Hyun & Davis, Adam W. & Goulias, Konstadinos G., 2017. "Triggers of behavioral change: Longitudinal analysis of travel behavior, household composition and spatial characteristics of the residence," Journal of choice modelling, Elsevier, vol. 24(C), pages 4-21.
    • Handle: RePEc:eee:eejocm:v:24:y:2017:i:c:p:4-21
    DOI: 10.1016/j.jocm.2017.01.001
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    1. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    2. Scheiner, Joachim & Chatterjee, Kiron & Heinen, Eva, 2016. "Key events and multimodality: A life course approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 148-165.
    3. Hetrakul, Pratt & Cirillo, Cinzia, 2013. "Accommodating taste heterogeneity in railway passenger choice models based on internet booking data," Journal of choice modelling, Elsevier, vol. 6(C), pages 1-16.
    4. Golob, Thomas F., 1996. "A Model of Household Demand for Activity Participation and Mobility," University of California Transportation Center, Working Papers qt00g9770f, University of California Transportation Center.
    5. Kroesen, Maarten, 2015. "Do partners influence each other’s travel patterns? A new approach to study the role of social norms," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 489-505.
    6. Amith Yarlagadda & Sivaramakrishnan Srinivasan, 2008. "Modeling children’s school travel mode and parental escort decisions," Transportation, Springer, vol. 35(2), pages 201-218, March.
    7. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt9mg5s5g8, Institute of Transportation Studies, UC Davis.
    8. Kroesen, Maarten, 2014. "Modeling the behavioral determinants of travel behavior: An application of latent transition analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 56-67.
    9. 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.
    10. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
    11. Eric Hildebrand, 2003. "Dimensions in elderly travel behaviour: A simplified activity-based model using lifestyle clusters," Transportation, Springer, vol. 30(3), pages 285-306, August.
    12. Rolf Langeheine & Frank Van De Pol, 1990. "A Unifying Framework for Markov Modeling in Discrete Space and Discrete Time," Sociological Methods & Research, , vol. 18(4), pages 416-441, May.
    13. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    14. Hess, Stephane & Stathopoulos, Amanda, 2013. "A mixed random utility — Random regret model linking the choice of decision rule to latent character traits," Journal of choice modelling, Elsevier, vol. 9(C), pages 27-38.
    15. Luis Miranda-Moreno & Martin Lee-Gosselin, 2008. "A week in the life of baby boomers: how do they see the spatial–temporal organization of their activities and travel?," Transportation, Springer, vol. 35(5), pages 629-653, August.
    16. Rungie, Cam M. & Coote, Leonard V. & Louviere, Jordan J., 2012. "Latent variables in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 5(3), pages 145-156.
    17. Konstadinos Goulias, 2002. "Multilevel analysis of daily time use and time allocation to activity types accounting for complex covariance structures using correlated random effects," Transportation, Springer, vol. 29(1), pages 31-48, February.
    18. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
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    2. Circella, Giovanni & Matson, Grant & Alemi, Farzad & Handy, Susan, 2019. "Panel Study of Emerging Transportation Technologies and Trends in California: Phase 2 Data Collection," Institute of Transportation Studies, Working Paper Series qt35x894mg, Institute of Transportation Studies, UC Davis.

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