Studies from Seoul National University Add New Findings in the Area of Risk Management (Cross-classified multilevel models for severity of commercial…

Studies from Seoul National University Add New Findings in the Area of Risk Management (Cross-classified multilevel models for severity of commercial motor vehicle crashes considering heterogeneity among companies and regions)

By a News Reporter-Staff News Editor at Insurance Weekly News -- A new study on Risk Management is now available. According to news originating from Seoul, South Korea, by VerticalNews correspondents, research stated, "This study analyzes 86,622 commercial motor vehicle (CMV) crashes (large truck, bus and taxi crashes) in South Korea from 2010 to 2014. The analysis recognizes the hierarchical structure of the factors affecting CMV crashes by examining eight factors related to individual crashes and six additional upper level factors organized in two non-nested groups (company level and regional level factors)."

Financial supporters for this research include Ministry of Education, Institute of Construction and Environmental Engineering.

Our news journalists obtained a quote from the research from Seoul National University, "The study considers four different crash severities (fatal, major, minor, and no injury). The company level factors reflect selected characteristics of 1,875 CMV companies, and the regional level factors reflect selected characteristics of 230 municipalities. The study develops a single-level ordinary ordered logit model, two conventional multilevel ordered logit models, and a cross-classified multilevel ordered logit model (CCMM). As the study develops each of these four models for large trucks, buses and taxis, 12 different statistical models are analyzed. The CCMM outperforms the other models in two important ways: 1) the CCMM avoids the type I statistical errors that tend to occur when analyzing hierarchical data with single-level models; and 2) the CCMM can analyze two non-nested groups simultaneously. Statistically significant factors include taxi company's type of vehicle ownership and municipality's level of transportation infrastructure budget."

According to the news editors, the research concluded: "An improved understanding of CMV related crashes should contribute to the development of safety countermeasures to reduce the number and severity of CMV related crashes."

For more information on this research see: Cross-classified multilevel models for severity of commercial motor vehicle crashes considering heterogeneity among companies and regions. Accident Analysis and Prevention, 2017;106():305-314. 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/)

The news correspondents report that additional information may be obtained from H.C. Park, Seoul National University, Dept. of Civil & Environm Engn, Seoul 08826, South Korea. Additional authors for this research include D.K. Kim, S.Y. Kho and P.Y. Park.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2017.06.009. 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: Seoul, South Korea, Asia, Risk Management, Seoul National University.

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