Modelling pedestrian go-home decisions: A comparison of linear and nonlinear compensatory, and conjunctive non-compensatory specifications
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DOI: 10.1016/j.jretconser.2008.11.017
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- 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.
- 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.
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Cited by:
- 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.
- Feng, Zhongxiang & Gao, Ya & Zhu, Dianchen & Chan, Ho-Yin & Zhao, Mingming & Xue, Rui, 2024. "Impact of risk perception and trust in autonomous vehicles on pedestrian crossing decision: Navigating the social-technological intersection with the ICLV model," Transport Policy, Elsevier, vol. 152(C), pages 71-86.
- Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
- 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.
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Keywords
Pedestrian behaviour; Shopping duration; Go-home decision; Multinomial logit model; Conjunctive model;All these keywords.
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