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Urban planning and design with points of interest and visual perception

Author

Listed:
  • Asya Natapov
  • Achituv Cohen
  • Sagi Dalyot

Abstract

Pedestrian navigation is often guided by points-of-interest and visibility, yet most planning and design models ignore these, solely addressing street networks. Our innovative ‘POI VizNet’ tool utilises open-source geographical data for integrating points-of-interest and visibility into network-based framework. The tool was applied to the Fitzrovia redevelopment project in London, to support the reallocation of urban activities based on desired locations of various assets. Our results demonstrate the quantifying of location patterns according to the planning project goals, and the examining of urban activities while controlling visibility and accessibility. The developed method is aimed to assist researchers and developers in making more informed planning decisions intended to promote neighbourhood vibrancy and create a sustainable urban context with mixed land use that is desirable for pedestrians.

Suggested Citation

  • Asya Natapov & Achituv Cohen & Sagi Dalyot, 2024. "Urban planning and design with points of interest and visual perception," Environment and Planning B, , vol. 51(3), pages 641-655, March.
    • Handle: RePEc:sae:envirb:v:51:y:2024:i:3:p:641-655
    DOI: 10.1177/23998083231191338
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    References listed on IDEAS

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    1. Stephen Marshall & Jorge Gil & Karl Kropf & Martin Tomko & Lucas Figueiredo, 2018. "Street Network Studies: from Networks to Models and their Representations," Networks and Spatial Economics, Springer, vol. 18(3), pages 735-749, September.
    2. Asya Natapov & Helena Grinshpun, 2020. "Hidden in the most visible place: measuring visual accessibility and social performance of urban kiosks," Journal of Urban Design, Taylor & Francis Journals, vol. 25(3), pages 412-432, May.
    3. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    4. M. Bielik & R. König & S. Schneider & T. Varoudis, 2018. "Measuring the Impact of Street Network Configuration on the Accessibility to People and Walking Attractors," Networks and Spatial Economics, Springer, vol. 18(3), pages 657-676, September.
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