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People don't use the shortest path

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Abstract

Most recent route choice models, following either Random Utility Maximization or rule-based paradigm, require explicit enumeration of feasible routes. The quality of model estimation and prediction is sensitive to the appropriateness of consideration set. However, few empirical studies of revealed route characteristics have been reported in the literature. Such study could also help practitioners and researchers evaluate widely applied shortest path assumptions. This study aims at bridging the gap by evaluating morning commute routes followed by residents at the Twin Cities, Minnesota. Accurate GPS and GIS data were employed to reveal routes people utilized. Findings from this study could also provide guidance for future efforts in building better travel demand models.

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File URL: http://nexus.umn.edu/Papers/ShortestPath.pdf
File Function: first version, 2009
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Bibliographic Info

Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 000059.

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Date of creation: 2009
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Publication status: Published in working paper
Handle: RePEc:nex:wpaper:shortestpath

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Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
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Related research

Keywords: Rationality; travel behavior; transport geography; commuting; transportation networks;

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  1. Shanjiang Zhu & David Levinson & Henry Liu & Kathleen Harder, 2008. "The traffic and behavioral effects of the I-35W Mississippi River bridge collapse," Working Papers 201001, University of Minnesota: Nexus Research Group.
  2. Arentze, Theo A. & Timmermans, Harry J. P., 2004. "A learning-based transportation oriented simulation system," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 613-633, August.
  3. Cascetta, Ennio & Russo, Francesco & Viola, Francesco A. & Vitetta, Antonino, 2002. "A model of route perception in urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 577-592, August.
  4. Lei Zhang & David M. Levinson & Shanjiang Zhu, 2008. "Agent-Based Model of Price Competition, Capacity Choice, and Product Differentiation on Congested Networks," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 42(3), pages 435-461, September.
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Cited by:
  1. Ahmed El-Geneidy & David Levinson, 2011. "Place Rank: Valuing Spatial Interactions," Networks and Spatial Economics, Springer, vol. 11(4), pages 643-659, December.

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