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Long- and short-term dynamics in activity scheduling: A structural equations approach

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  • Roorda, Matthew J.
  • Ruiz, Tomás

Abstract

Not enough is known about the dynamics of activity participation and travel over time. This is partially due to the lack of longitudinal datasets that contain sufficient information to explain dynamically changing behaviour. A new panel survey database collected in Toronto, Canada, provides the opportunity to explore such dynamics. Because the panel was designed to capture activity and travel patterns on multiple days over multiple years, it is possible to identify activity/travel similarities and differences in both the short and long term. This paper uses a structural equations modelling (SEM) technique with latent variables to explore these short- and long-term dynamics. Four models are tested, that distinguish between the underlying propensity to perform activities/travel, "next-day effects" that relate behaviour in one day to behaviour in the next day, "same-day effects" which indicate substitution of out-of-home activities by type and trips by mode within a particular day. Weekday activity/travel patterns are found to be different from weekend patterns. An underlying similarity is found between a person's weekday activity/travel schedules from one year to the next, and latent "propensity" variables, which can be represented as a linear function of the socioeconomic characteristics of the person, are found to explain this.

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  • 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.
    • Handle: RePEc:eee:transa:v:42:y:2008:i:3:p:545-562
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    References listed on IDEAS

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    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. Golob, Thomas F. & Van Wissen , Leo, 1989. "A Joint Household Travel Distance Generation and Car Ownership Model," University of California Transportation Center, Working Papers qt16h8h2gh, University of California Transportation Center.
    3. T F Golob & H Meurs, 1988. "Modeling the Dynamics of Passenger Travel Demand by Using Structural Equations," Environment and Planning A, , vol. 20(9), pages 1197-1218, September.
    4. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    5. Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1996. "How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model," University of California Transportation Center, Working Papers qt6xx6j51x, University of California Transportation Center.
    6. Golob, Thomas F. & van Wissen, Leo, 1989. "A joint household travel distance generation and car ownership model," Transportation Research Part B: Methodological, Elsevier, vol. 23(6), pages 471-491, December.
    7. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    8. Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
    9. Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1996. "How households use different types of vehicles: A structural driver allocation and usage model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(2), pages 103-118, March.
    10. Kitamura, Ryuichi, 1990. "Panel Analysis in Transportation Planning: An Overview," University of California Transportation Center, Working Papers qt86v0f7zh, University of California Transportation Center.
    11. Golob, Thomas F. & Van Wissen, Leo, 1989. "A Joint Household Travel Distance Generation And Car Ownership Model," University of California Transportation Center, Working Papers qt72h4k912, University of California Transportation Center.
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    5. Fang, Zhixiang & Tu, Wei & Li, Qingquan & Li, Qiuping, 2011. "A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities," Journal of Transport Geography, Elsevier, vol. 19(4), pages 623-634.
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    7. Sharmeen, Fariya & Arentze, Theo & Timmermans, Harry, 2014. "An analysis of the dynamics of activity and travel needs in response to social network evolution and life-cycle events: A structural equation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 159-171.

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