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City centre entry points, store location patterns and pedestrian route choice behaviour: A microlevel simulation model

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  • Borgers, A.
  • Timmermans, H. J. P.

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  • Borgers, A. & Timmermans, H. J. P., 1986. "City centre entry points, store location patterns and pedestrian route choice behaviour: A microlevel simulation model," Socio-Economic Planning Sciences, Elsevier, vol. 20(1), pages 25-31.
    • Handle: RePEc:eee:soceps:v:20:y:1986:i:1:p:25-31
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    Citations

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    Cited by:

    1. Michael Batty, 2001. "Agent-Based Pedestrian Modeling," Environment and Planning B, , vol. 28(3), pages 321-326, June.
    2. Aura-Luciana Istrate & Vojtěch Bosák & Alexandr Nováček & Ondřej Slach, 2020. "How Attractive for Walking Are the Main Streets of a Shrinking City?," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    3. 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.
    4. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    5. Haghani, Milad, 2021. "The knowledge domain of crowd dynamics: Anatomy of the field, pioneering studies, temporal trends, influential entities and outside-domain impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    6. 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.
    7. Cornel Ghita, 2014. "A Decision Support System for Business Location Based on Open GIS Technology and Data," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 12(2 (Summer), pages 101-120.
    8. Yuji Yoshimura & Stanislav Sobolevsky & Juan N Bautista Hobin & Carlo Ratti & Josep Blat, 2018. "Urban association rules: Uncovering linked trips for shopping behavior," Environment and Planning B, , vol. 45(2), pages 367-385, March.
    9. Moiseeva, Anastasia & Timmermans, Harry, 2010. "Imputing relevant information from multi-day GPS tracers for retail planning and management using data fusion and context-sensitive learning," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 189-199.
    10. J Zacharias, 1997. "The Impact of Layout and Visual Stimuli on the Itineraries and Perceptions of Pedestrians in a Public Market," Environment and Planning B, , vol. 24(1), pages 23-35, February.
    11. Jan Veldhuisen & Harry Timmermans & Loek Kapoen, 2000. "RAMBLAS: A Regional Planning Model Based on the Microsimulation of Daily Activity Travel Patterns," Environment and Planning A, , vol. 32(3), pages 427-443, March.
    12. Canca, David & Zarzo, Alejandro & Algaba, Encarnación & Barrena, Eva, 2013. "Macroscopic attraction-based simulation of pedestrian mobility: A dynamic individual route-choice approach," European Journal of Operational Research, Elsevier, vol. 231(2), pages 428-442.
    13. Crispin H. V. Cooper & Ian Harvey & Scott Orford & Alain J. F. Chiaradia, 2021. "Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows," Transportation, Springer, vol. 48(2), pages 643-672, April.

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