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Do enhanced school zone policies improve pedestrians' safety? A deep learning-based case study of Osan City, South Korea

Bibliographic Data

ID6418786
AuthorsZhixiong Jin (0000-0002-1370-781X), Wonjun No (0000-0001-6069-7274), Byeongjoon Noh (0000-0002-0458-1573)
Year2024
Volume156
Pages105505-105505
Publication date2024-10-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCities (JOURNAL)
Journal identifiersISSN: 0264-2751 • E-ISSN: 1873-6084
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.cities.2024.105505
OpenAlexW4403621767
LanguageEN
Citations received1
References cited31

Business · Environmental planning · Geography · Pedestrian · Transport engineering · Engineering · Evacuation and Crowd Dynamics · Traffic and Road Safety · Urban Transport and Accessibility

  • Case Study

    Open Access•Mario Ćosić, Davor Sumpor et al.•Urban Science•2026

  • Unveiling pedestrian injury risk factors through integration of urban contexts using multimodal deep learning

    Open Access•Jeongyeop Baek, Lisa Lim•Sustainable Cities and Society•2024

  • Area-Wide Traffic-Calming Zone 30 Policy of Japan and Incidence of Road Traffic Injuries Among Cyclists and Pedestrians

    Haruhiko Inada, Jun Tomio et al.•American Journal of Public Health•2020

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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