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Urban planning and design with points of interest and visual perception

Bibliographic Data

ID21247468
AuthorsAsya Natapov (0000-0001-7654-1864, Loughborough University, corresponding author), Achituv Cohen (0000-0002-1357-8296, University of California, Santa Barbara), Sagi Dalyot (0000-0002-5639-8009, Technion – Israel Institute of Technology)
Year2024
Volume51
Issue3
Pages641-655
Publication date2024-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23998083231191338
OpenAlexW4385287541
LanguageEN
Citations received2
References cited43

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

Civil engineering · Environmental planning · Geography · Land use · Land-use planning · Pedestrian · Perception · Point of interest · Redevelopment · Transport engineering · Urban planning · Visibility · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Psychology · Urban Design and Spatial Analysis · Urban Transport and Accessibility · Artificial Intelligence

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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