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Evaluation of trip-inducing effects of new freeways using a structural equations model system of commuters' time use and travel

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  • Fujii, Satoshi
  • Kitamura, Ryuichi

Abstract

A structural equations model system which represents the effects of transportation control measures on commuters' daily activity patterns after work hours is presented. A commuter's daily activity after work till going to sleep is defined in terms of variables that indicate time use and travel. These variables are the endogenous variables of the structural equations model system. The parameters of the model system are estimated using one-day activity diary data collected in 1994 in the Osaka-Kobe metropolitan area. The model system is applied to evaluate the impacts of hypothetical freeway lines in the Osaka-Kobe metropolitan area upon area residents' time use and travel.

Suggested Citation

  • Fujii, Satoshi & Kitamura, Ryuichi, 2000. "Evaluation of trip-inducing effects of new freeways using a structural equations model system of commuters' time use and travel," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 339-354, June.
  • Handle: RePEc:eee:transb:v:34:y:2000:i:5:p:339-354
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    References listed on IDEAS

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    1. Adler, Thomas & Ben-Akiva, Moshe, 1979. "A theoretical and empirical model of trip chaining behavior," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 243-257, September.
    2. Kitamura, Ryuichi, 1984. "A model of daily time allocation to discretionary out-of-home activities and trips," Transportation Research Part B: Methodological, Elsevier, vol. 18(3), pages 255-266, June.
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    Cited by:

    1. Jakobsson, C. & Fujii, S. & Gärling, T., 2000. "Determinants of private car users' acceptance of road pricing," Transport Policy, Elsevier, vol. 7(2), pages 153-158, April.
    2. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    3. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    4. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
    5. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
    6. Shiftan, Yoram & Outwater, Maren L. & Zhou, Yushuang, 2008. "Transit market research using structural equation modeling and attitudinal market segmentation," Transport Policy, Elsevier, vol. 15(3), pages 186-195, May.
    7. van Exel, Job & Rienstra, Sytze & Gommers, Michael & Pearman, Alan & Tsamboulas, Dimitrios, 2002. "EU involvement in TEN development: network effects and European value added," Transport Policy, Elsevier, vol. 9(4), pages 299-311, October.
    8. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters,in: Handbook of Choice Modelling, chapter 5, pages 101-130 Edward Elgar Publishing.
    9. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    10. Dahlgren, Joy, 2001. "How the Reconstruction of I-880 Affected Travel Behavior," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4xr9v906, Institute of Transportation Studies, UC Berkeley.

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