Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Identifying Influencing Factors of Road Accidents in Emerging Road Accident Black spots

Version 1 : Received: 21 September 2022 / Approved: 22 September 2022 / Online: 22 September 2022 (09:41:07 CEST)

How to cite: Gheisari, M. Identifying Influencing Factors of Road Accidents in Emerging Road Accident Black spots . Preprints 2022, 2022090338 (doi: 10.20944/preprints202209.0338.v1). Gheisari, M. Identifying Influencing Factors of Road Accidents in Emerging Road Accident Black spots . Preprints 2022, 2022090338 (doi: 10.20944/preprints202209.0338.v1).

Abstract

This paper deals with identifying the accident black spots and the influencing factors causing accidents using factored analysis in the medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the black spots and the factors causing accidents was used for analysis. The most influencing factors driving the accident were identified and ranked based on the repetitive occurrence of accidents in the black spot area. The spearman ranking system obtained the correlation among the factors causing accidents. The factor analysis technique was utilized to identify the key factors driving the repetitive accidents and group them. This study will help transportation planners to understand the factors causing accidents and take appropriate measures to reduce the casualties in the road construction planning stage and existing conditions.

Keywords

Road; Accidents; Black spots; spatial analysis; Factor analysis

Subject

MATHEMATICS & COMPUTER SCIENCE, Information Technology & Data Management

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