Factors associated with pedestrian-vehicle collision hotspots involving seniors and children: a deep learning analysis of street-level images-Reference-Cited by-同舟云学术

Factors associated with pedestrian-vehicle collision hotspots involving seniors and children: a deep learning analysis of street-level images

Published:2023-11-16 Issue: Volume: Page:1-19
ISSN:1226-5934
Container-title:International Journal of Urban Sciences
language:en
Short-container-title:International Journal of Urban Sciences

Author:

Jun Hee-Jung¹²^ORCID,Jung Suyoung³,Kang Seungyeoup²,Kim Taewan²,Cho Cheol-Ho⁴,Jhoo Won Young⁵,Heo Jae-Pil⁴⁶

Affiliation:

1. Department of Public Administration, Sungkyunkwan University, Seoul, Republic of Korea

2. Graduate School of Governance, Sungkyunkwan University, Seoul, Republic of Korea

3. Sustainable Urban Development Institute, Sungkyunkwan University, Seoul, Republic of Korea

4. Department of Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea

5. Kakao Brain, Seongnam, Republic of Korea

6. Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea

Funder

AI Convergence Research Fund, Sungkyunkwan University

Publisher

Informa UK Limited

Subject

Urban Studies,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/12265934.2023.2282190

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