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Modeling pedestrian shopping behavior using principles of bounded rationality: model comparison and validation

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  • Wei Zhu
  • Harry Timmermans

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  • Wei Zhu & Harry Timmermans, 2011. "Modeling pedestrian shopping behavior using principles of bounded rationality: model comparison and validation," Journal of Geographical Systems, Springer, vol. 13(2), pages 101-126, June.
    • Handle: RePEc:kap:jgeosy:v:13:y:2011:i:2:p:101-126
    DOI: 10.1007/s10109-010-0122-8
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    References listed on IDEAS

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    1. Antonini, Gianluca & Bierlaire, Michel & Weber, Mats, 2006. "Discrete choice models of pedestrian walking behavior," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 667-687, September.
    2. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    4. C M Guy, 1987. "Recent Advances in Spatial Interaction Modelling: An Application to the Forecasting of Shopping Travel," Environment and Planning A, , vol. 19(2), pages 173-186, February.
    5. A G Wilson, 1971. "A Family of Spatial Interaction Models, and Associated Developments," Environment and Planning A, , vol. 3(1), pages 1-32, March.
    6. Hoogendoorn, S. P. & Bovy, P. H. L., 2004. "Pedestrian route-choice and activity scheduling theory and models," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 169-190, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Danalet, Antonin & Tinguely, Loïc & Lapparent, Matthieu de & Bierlaire, Michel, 2016. "Location choice with longitudinal WiFi data," Journal of choice modelling, Elsevier, vol. 18(C), pages 1-17.
    2. Shatu, Farjana & Yigitcanlar, Tan, 2018. "Development and validity of a virtual street walkability audit tool for pedestrian route choice analysis—SWATCH," Journal of Transport Geography, Elsevier, vol. 70(C), pages 148-160.
    3. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour," Journal of Transport Geography, Elsevier, vol. 74(C), pages 37-52.
    4. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    5. Paul M. Torrens, 2023. "Agent models of customer journeys on retail high streets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 87-128, January.
    6. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Objective vs. subjective measures of street environments in pedestrian route choice behaviour: Discrepancy and correlates of non-concordance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 1-23.
    7. Liu, Yanan & Yang, Dujuan & Timmermans, Harry J.P. & de Vries, Bauke, 2020. "Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment," Journal of Transport Geography, Elsevier, vol. 82(C).
    8. Páez, Antonio & Trépanier, Martin & Morency, Catherine, 2012. "Modeling isoexposure to transit users for market potential analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1517-1527.

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    More about this item

    Keywords

    Spatial choice behavior; Pedestrian; Shopping behavior; Heuristics; Multi-agent simulation; C51; C52; C53; C63; D12;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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