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Journal Article

Citation

Kim HA. Crisisonomy 2020; 16(3): 69-79.

Copyright

(Copyright © 2020, Crisis and Emergency Management: Theory and Praxis)

DOI

10.14251/crisisonomy.2020.16.3.69

PMID

unavailable

Abstract

The purpose of this study is to suggest a new method to estimate the potential hotspots of road traffic accidents (RTAs) in underdeveloped countries. Due to the lack of infrastructure and experiences, many underdeveloped countries have failed to prepare effective policies to reduce traffic accidents. Considering their fiscal constraints, it would be critical to allocate health and traffic safety facilities with evidence-based methods. This study suggests the method of using road intersections as potential high-risk areas of RTAs when no accurate data are available in underdeveloped countries. Using the data from Lagos State in Nigeria, RTA hotspots were identified based on road intersections and travel distances from the high-risk points to the nearest health facility were calculated. There was a strong spatial correlation between the number of road traffic accidents and road interactions (<0.001). It is also found that urban areas had more traffic accidents but crashes were less severe, compared to suburban areas. These results indicate a disproportional allocation of health facilities between urban and suburban areas in Lagos, Nigeria.

Key words: road traffic accidents (RTA), spatial correlation, traffic safety, hotspot analysis, evidence-based method


Language: en

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