Findings from Singapore National University Yields New Findings on Risk Management (A study of at-fault older drivers in light-vehicle crashes in…

Findings from Singapore National University Yields New Findings on Risk Management (A study of at-fault older drivers in light-vehicle crashes in Singapore)

By a News Reporter-Staff News Editor at Insurance Weekly News -- Researchers detail new data in Risk Management. According to news reporting out of Singapore, Singapore, by VerticalNews editors, research stated, "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."

Financial support for this research came from The Safety Studies Initiative of the National University of Singapore.

Our news journalists obtained a quote from the research from Singapore National University, "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."

According to the news editors, the research concluded: "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."

For more information on this research see: A study of at-fault older drivers in light-vehicle crashes in Singapore. Accident Analysis and Prevention, 2018;112():50-55. Accident Analysis and Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis and Prevention - www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news journalists report that additional information may be obtained by contacting M. Zhou, Singapore National University, Dept. of Civil & Environm Engn, Singapore 117576, Singapore.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2017.12.024. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Keywords for this news article include: Singapore, Singapore, Asia, Risk Management, Singapore, Asia, Singapore National University.

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