IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v24y1997i1p23-35.html
   My bibliography  Save this article

The Impact of Layout and Visual Stimuli on the Itineraries and Perceptions of Pedestrians in a Public Market

Author

Listed:
  • J Zacharias

    (The Urban Studies Programme, Concordia University, Montreal (Quebec) H2L 3Z5, Canada)

Abstract

The role of visual stimuli in the route choices of pedestrians is compared with the impact of layout, stall content, and the presence of other people in a public market. Pedestrian counts and videotape were used to determine the stability of the distribution of persons over time and the significance of turning movements within the market. Trip planning, mental maps, and motivations for purchase and spatial behaviour were studied by means of questionnaires. Individual itineraries were studied with tracking and behavioural mapping. It was found that presence and movement patterns were stable over time and that a large part of decisionmaking was spontaneous. Flows and presence can be explained largely by layout and visual stimuli, and a variety of typical behaviours and perceptions help explain the extensive pedestrian coverage of the market and its breakdown into subareas.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:envirb:v:24:y:1997:i:1:p:23-35
    DOI: 10.1068/b240023
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b240023
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b240023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Michael Batty, 2001. "Agent-Based Pedestrian Modeling," Environment and Planning B, , vol. 28(3), pages 321-326, June.
    11. 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.
    12. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:24:y:1997:i:1:p:23-35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.