The Impact of Pavement Conditions on Accident Severities

Baskara, Sudesh Nair and Haryati, Yaacob and Sitti Asmah, Hassan and Mohd Rosli, Hainin and Mohd Shahrir, Amin Ahmad 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 0858849X, 25870009. (Published)

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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, Pavement condition, Binomial logistic regression model, Multinomial logistic regression model
Subjects: T Technology > TE Highway engineering. Roads and pavements
Faculty/Division: Faculty of Civil Engineering Technology
Depositing User: PM Dr. Ramdhansyah Putra Jaya
Date Deposited: 13 Mar 2023 09:38
Last Modified: 13 Mar 2023 09:38
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