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A Prism-Based and Gap-Based Approach to Shopping Location Choice

Author

Listed:
  • Joshua Wang

    (IBI Group, 30 International Boulevard, Toronto, ON M9W 5P3, Canada)

  • Eric J Miller

    (Department of Civil Engineering, University of Toronto, 35 St. George Street, Room 305A, Toronto, ON M5S 1A4, Canada)

Abstract

In this paper we present a prism-based and gap-based approach to model shopping location choice. Location choice is a fundamental decision in the activity scheduling process. We propose a simple yet robust model to capture shopping location choice behaviour. In this model, an individual first chooses a time window (or gap); the choice of the shopping location depends on the gap chosen. This notion arises from our understanding that shopping location choice behaviour depends on shopping type, scheduling constraints, time of day, and day of week. Or quite simply, where you shop depends on when you shop. The gap-based approach to destination choice is envisioned as a small but significant step towards a more comprehensive location choice model in a dynamic scheduling environment.

Suggested Citation

  • Joshua Wang & Eric J Miller, 2014. "A Prism-Based and Gap-Based Approach to Shopping Location Choice," Environment and Planning B, , vol. 41(6), pages 977-1005, December.
    • Handle: RePEc:sae:envirb:v:41:y:2014:i:6:p:977-1005
    DOI: 10.1068/b130063p
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    References listed on IDEAS

    as
    1. Bhat, Chandra R., 1996. "A hazard-based duration model of shopping activity with nonparametric baseline specification and nonparametric control for unobserved heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 30(3), pages 189-207, June.
    2. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    3. Arentze, T.A. & Timmermans, H.J.P., 2005. "Information gain, novelty seeking and travel: a model of dynamic activity-travel behavior under conditions of uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 125-145.
    4. Roorda, Matthew J. & Miller, Eric J. & Habib, Khandker M.N., 2008. "Validation of TASHA: A 24-h activity scheduling microsimulation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 360-375, February.
    5. Anas, Alex, 1983. "Discrete choice theory, information theory and the multinomial logit and gravity models," Transportation Research Part B: Methodological, Elsevier, vol. 17(1), pages 13-23, February.
    6. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
    7. Bhat, Chandra R. & Steed, Jennifer L., 2002. "A continuous-time model of departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 207-224, March.
    8. Mark Bradley & Peter Vovsha, 2005. "A model for joint choice of daily activity pattern types of household members," Transportation, Springer, vol. 32(5), pages 545-571, September.
    9. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
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