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The impact of pavement conditions on accident severities

Baskara, Sudesh Nair and Yaacob, Haryati and Hassan, Sitti Asmah and Hainin, Mohd. Rosli and Ahmad, Mohd. Shahrir Amin and Putra Jaya, Ramadhansyah and Al Saffar, Zaid Hazim (2023) The impact of pavement conditions on accident severities. Suranaree Journal of Science and Technology, 30 (1). pp. 1-10. ISSN 0858-849X

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Official URL: http://dx.doi.org/10.55766/sujst-2023-01-e01616

Abstract

This paper focuses on the aspect of road safety based on the impact of pavement conditions on accident severities. Four models of binomial and multinomial logistic regression were produced using the R software and utilizing two years of accident and pavement conditions data on Malaysian highways. The surface characteristics analyzed included the International Roughness Index (IRI), rut depth (RD) and mean texture depth (MTD). The accident severity assessed ranged from damage to death. Results indicated that IRI has the highest tendency to affect accident severity for all models. At the thresholds identified for all independent variables, the chances of death had increased significantly. As such, efforts must be driven to ensure the thresholds are not reached in the maintenance of pavements for better road safety.

Item Type:Article
Uncontrolled Keywords:accident severity, binomial logistic regression model, multinomial logistic regression model, pavement condition
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:107654
Deposited By: Yanti Mohd Shah
Deposited On:25 Sep 2024 07:42
Last Modified:25 Sep 2024 07:42

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