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The walkable neighborhood and public art

Using AI to measure the impact of visual interest on pedestrian behavior

Bibliographic Data

ID7172432
AuthorsJustin B Hollander (0000-0001-5148-7902, Tufts University, corresponding author), Lindsay Naughton (Tufts University), E L Miller (0000-0002-7157-6213, Tufts University), Robert J K Jacob (0000-0002-5983-7388, Tufts University)
Year2025
Volume30
Issue1
Pages37-54
Publication date2025-03-01
Open AccessYes
TypeARTICLE
VenueURBAN DESIGN International (JOURNAL)
Journal identifiersISSN: 1357-5317 • E-ISSN: 1468-4519
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41289-024-00268-x
OpenAlexW4406582130
LanguageEN
Citations received1
References cited52

Archaeology · Built environment · Civil engineering · Data mining · Geography · Landscape architecture · Pedestrian · Transport engineering · Urban design · Urban planning · Urbanism · Walkability · Computer Science · Engineering · Evacuation and Crowd Dynamics · Urban Design and Spatial Analysis · Urban Green Space and Health · Architecture

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    Open Access•Bradley Bereitschaft•City Culture and Society•2019

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    Justin B Hollander, Ann Sussman et al.•Planning Practice and Research•2020

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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