A study of at-fault older drivers in light-vehicle crashes in Singapore. (March 2018)

• Record Type: Journal Article
• Authors: Chin, Hoong Chor; Zhou, Mo
• Is Part Of: Accident analysis and prevention. Volume 112(2018)
• Page Start: 50
• Page End: 55
• Publication Date: 2018-03
• Subjects: Older driver -- At-fault -- Light-vehicle crash -- Logistic regression; Accidents -- Prevention -- Periodicals; Accident Prevention -- Periodicals; Accidents -- Prévention -- Périodiques; 363.106
• DOI: 10.1016/j.aap.2017.12.024
• Languages: English
• ISSNs: 0001-4575

Abstract

Highlights: Three-year crash data in Singapore is used to develop a logistic regression model. Various hazardous situations faced by older drivers are identified. A targeted "3A" approach is proposed to facilitate re-education of older drivers. Abstract: A number of studies on motor vehicle crashes have suggested that older drivers are more likely to be at-fault compared to younger drivers. The objective of this paper is to identify factors that contribute to older drivers (aged 65 and above) being at fault in light vehicle crashes in Singapore. Based on 3 years of crash data, the calibrated binary logit model shows that older drivers are more likely to be at fault during peak periods and festive seasons between November to February, as well as at gore areas of expressways, intersections. Curb lanes of multi-lane roads and single-lane roads are also found to increase the odds of older drivers being at fault. Furthermore, older drivers appear to have more problems on roads with wet surfaces and speed limits of 60 km/h and 70 km/h. In the light of an aging population in Singapore, it is imperative that more targeted countermeasures be taken from multiple perspectives to lower such risks.