Identifying Influencing Factors of Road Accidents in Emerging Road Accident Blackspots

K. Athiappan; C. Karthik; M. Rajalaskshmi; Chowdhury Subrata; Hamidreza Rabiei Dastjerdi; Yang Liu; Christian Fernandez-Campusano; Mehdi Gheisari

doi:10.1155/2022/9474323

Identifying Influencing Factors of Road Accidents in Emerging Road Accident Blackspots

K. Athiappan
, C. Karthik
, M. Rajalaskshmi
, Chowdhury Subrata
, Hamidreza Rabiei Dastjerdi
, Yang Liu
, Christian Fernandez-Campusano
, Mehdi Gheisari^*

^*Corresponding author for this work

Thiagarajar College of Engineering
Jyothi Engineering College
Sethu Institute of Technology
SVCET Engineering College (A)
University College Dublin
Harbin Institute of Technology Shenzhen
Universidad de Santiago de Chile
Islamic Azad University

Research output: Contribution to journal › Review article › peer-review

20 Scopus citations

Abstract

This study deals with identifying the accident blackspots and the influencing factors causing accidents using factored analysis in a medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the blackspots and the factors causing accidents was used for analysis. The most influencing factors driving the accidents were identified and ranked based on the repetitive occurrence of accidents in the blackspot area. The spearman ranking system showed 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 understand the factors causing accidents and take appropriate measures to reduce the casualties in the road construction planning stage and existing conditions.

Original language	English
Article number	9474323
Journal	Advances in Civil Engineering
Volume	2022
DOIs	https://doi.org/10.1155/2022/9474323
State	Published - 2022
Externally published	Yes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.1155/2022/9474323

Cite this

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title = "Identifying Influencing Factors of Road Accidents in Emerging Road Accident Blackspots",

abstract = "This study deals with identifying the accident blackspots and the influencing factors causing accidents using factored analysis in a medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the blackspots and the factors causing accidents was used for analysis. The most influencing factors driving the accidents were identified and ranked based on the repetitive occurrence of accidents in the blackspot area. The spearman ranking system showed 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 understand the factors causing accidents and take appropriate measures to reduce the casualties in the road construction planning stage and existing conditions.",

author = "K. Athiappan and C. Karthik and M. Rajalaskshmi and Chowdhury Subrata and Dastjerdi, \{Hamidreza Rabiei\} and Yang Liu and Christian Fernandez-Campusano and Mehdi Gheisari",

note = "Publisher Copyright: {\textcopyright} 2022 K. Athiappan et al.",

year = "2022",

doi = "10.1155/2022/9474323",

language = "英语",

volume = "2022",

journal = "Advances in Civil Engineering",

issn = "1687-8086",

publisher = "John Wiley and Sons Ltd",

}

TY - JOUR

T1 - Identifying Influencing Factors of Road Accidents in Emerging Road Accident Blackspots

AU - Athiappan, K.

AU - Karthik, C.

AU - Rajalaskshmi, M.

AU - Subrata, Chowdhury

AU - Dastjerdi, Hamidreza Rabiei

AU - Liu, Yang

AU - Fernandez-Campusano, Christian

AU - Gheisari, Mehdi

PY - 2022

Y1 - 2022

N2 - This study deals with identifying the accident blackspots and the influencing factors causing accidents using factored analysis in a medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the blackspots and the factors causing accidents was used for analysis. The most influencing factors driving the accidents were identified and ranked based on the repetitive occurrence of accidents in the blackspot area. The spearman ranking system showed 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 understand the factors causing accidents and take appropriate measures to reduce the casualties in the road construction planning stage and existing conditions.

AB - This study deals with identifying the accident blackspots and the influencing factors causing accidents using factored analysis in a medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the blackspots and the factors causing accidents was used for analysis. The most influencing factors driving the accidents were identified and ranked based on the repetitive occurrence of accidents in the blackspot area. The spearman ranking system showed 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 understand the factors causing accidents and take appropriate measures to reduce the casualties in the road construction planning stage and existing conditions.

UR - https://www.scopus.com/pages/publications/85140228611

U2 - 10.1155/2022/9474323

DO - 10.1155/2022/9474323

M3 - 文献综述

AN - SCOPUS:85140228611

SN - 1687-8086

VL - 2022

JO - Advances in Civil Engineering

JF - Advances in Civil Engineering

M1 - 9474323

ER -

Identifying Influencing Factors of Road Accidents in Emerging Road Accident Blackspots

Abstract

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