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A Joint Household Travel Distance Generation And Car Ownership Model

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  • Golob, Thomas F.
  • Van Wissen, Leo

Abstract

The product of this research is a dynamic simultaneous equations model of car ownership and modal travel distances as a function of income. The data are from the Dutch National Mobility Panel (1984-1987); and four modes are encompassed: car driver, car passenger, train, and bus-tram-subway. A novel feature of the simultaneous equation system is the consistent treatment of the measurement scales of the variables: ordered probit functions for income and car ownership and tobit functions for distances. The dynamics are expressed in terms of pooled panel survey measurements of the variables at two points in time one year apart. This allows the identification of lagged responses and serial correlations over a one-year time-horizon. Results indicate that increased car ownership and car kilometers at time T2 is influenced by heavy usage of other modes at time T1. This indicates there are significant noninstantaneous adjustments of car ownership and usage that represent modal substitutions.

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:uctcwp:qt72h4k912
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    1. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    2. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
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    Cited by:

    1. Guo, Zhan, 2013. "Does residential parking supply affect household car ownership? The case of New York City," Journal of Transport Geography, Elsevier, vol. 26(C), pages 18-28.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Liu, Yangwen & Tremblay, Jean-Michel & Cirillo, Cinzia, 2014. "An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 315-328.
    4. Oakil, Abu Toasin Md & Manting, Dorien & Nijland, Hans, 2016. "Determinants of car ownership among young households in the Netherlands: The role of urbanisation and demographic and economic characteristics," Journal of Transport Geography, Elsevier, vol. 51(C), pages 229-235.
    5. Soltani, Ali, 2017. "Social and urban form determinants of vehicle ownership; evidence from a developing country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 90-100.
    6. Maarten Kroesen & Susan Handy, 2014. "The relation between bicycle commuting and non-work cycling: results from a mobility panel," Transportation, Springer, vol. 41(3), pages 507-527, May.
    7. 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.
    8. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.
    9. Cinzia Cirillo & Yangwen Liu & Jean-Michel Tremblay, 2017. "Simulation, numerical approximation and closed forms for joint discrete continuous models with an application to household vehicle ownership and use," Transportation, Springer, vol. 44(5), pages 1105-1125, September.
    10. 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.
    11. Tscharaktschiew, Stefan, 2014. "Shedding light on the appropriateness of the (high) gasoline tax level in Germany," Economics of Transportation, Elsevier, vol. 3(3), pages 189-210.
    12. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    13. Abu Toasin Oakil & Dorien Manting & Hans Nijland, 2018. "The role of individual characteristics in car ownership shortly after relationship dissolution," Transportation, Springer, vol. 45(6), pages 1871-1882, November.
    14. Keller, Rose & Vance, Colin, 2013. "Landscape pattern and car use: Linking household data with satellite imagery," Journal of Transport Geography, Elsevier, vol. 33(C), pages 250-257.
    15. Fatmi, Mahmudur Rahman & Habib, Muhammad Ahsanul, 2018. "Microsimulation of vehicle transactions within a life-oriented integrated urban modeling system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 497-512.
    16. 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.
    17. 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.
    18. Yao, Mingzhu & Wang, Donggen & Yang, Hai, 2017. "A game-theoretic model of car ownership and household time allocation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 667-685.
    19. Whitehead, Jake & Franklin, Joel P. & Washington, Simon, 2015. "Transitioning to energy efficient vehicles: An analysis of the potential rebound effects and subsequent impact upon emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 250-267.
    20. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    21. Peter Horbachov & Oleksandr Makarichev & Stanislav Svichynskyi & Ihor Ivanov, 2022. "Framework for designing sample travel surveys for transport demand modelling in cities," Transportation, Springer, vol. 49(1), pages 115-136, February.
    22. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    23. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.

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