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Spatial Behavior in Transportation Modeling and Planning

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  • Golledge, Reinald G.
  • Garling, Tommy

Abstract

The demand for transportation services is a derived demand based on the needs of people to perform daily and other episodic activities. There have been two dominant approaches to investigating this derived demand: (a) studies focused on the spatial behavior of people, that is, the recorded behavior of people as they move between origins and destinations (e.g., Hanson & Schwab, 1995), and (b) an examination of the decision-making and choice processes that result in spatially manifest behaviors (e.g. Ben-Akiva & Lerman, 1985: Ortuzar & Willumsen, 1994). The former approach has been typified by the development of methods for describing and analyzing activity/travel patterns. The latter is typified both by the development of methods for describing and modeling the final outcomes of decision processes but paying little attention to the cognitive processes involved in determining the final decision concerning movement in space, and behavioral process models paying particular attention to the cognitive factors involved in decision-making as well as to the final choice act

Suggested Citation

  • Golledge, Reinald G. & Garling, Tommy, 2001. "Spatial Behavior in Transportation Modeling and Planning," University of California Transportation Center, Working Papers qt94f957b8, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt94f957b8
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    Citations

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    Cited by:

    1. Mondschein, Andrew Samuel, 2012. "The Personal City: The Experimental, Cognitive Nature of Travel and Activity and Implications for Accessibility," University of California Transportation Center, Working Papers qt67d5w48s, University of California Transportation Center.
    2. Albert, Gila & Toledo, Tomer & Ben-Zion, Uri, 2011. "The role of personality factors in repeated route choice behavior: behavioral economics perspective," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 48, pages 47-59.
    3. Manley, E.J. & Addison, J.D. & Cheng, T., 2015. "Shortest path or anchor-based route choice: a large-scale empirical analysis of minicab routing in London," Journal of Transport Geography, Elsevier, vol. 43(C), pages 123-139.
    4. Mondschein, Andrew Samuel, 2013. "The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications for Accessibility," University of California Transportation Center, Working Papers qt7014d9cg, University of California Transportation Center.
    5. Alessandro Vacca & Carlo Giacomo Prato & Italo Meloni, 2019. "Should I stay or should I go? Investigating route switching behavior from revealed preferences data," Transportation, Springer, vol. 46(1), pages 75-93, February.

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    Keywords

    Architecture;

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