Factors influencing fatal vehicle-involved crash consequence metrics at spatio-temporal hotspots in South Korea: application of GIS and machine learning techniques-Reference-Cited by-同舟云学术

Factors influencing fatal vehicle-involved crash consequence metrics at spatio-temporal hotspots in South Korea: application of GIS and machine learning techniques

Published:2022-10-16 Issue: Volume: Page:1-35
ISSN:1226-5934
Container-title:International Journal of Urban Sciences
language:en
Short-container-title:International Journal of Urban Sciences

Author:

Tamakloe Reuben¹^ORCID,Park D.²^ORCID

Affiliation:

1. Department of Transportation, University of Seoul, Seoul, South Korea

2. Department of Transportation Engineering & Department of Urban Big Data Convergence, University of Seoul, Seoul, South Korea

Publisher

Informa UK Limited

Subject

Urban Studies,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/12265934.2022.2134182

Reference36 articles.

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4. Investigating articulated heavy-vehicle crashes in Western Australia using a spatial approach

5. How Best to Rank Sites with Promise

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