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المؤلفBenlagha, Noureddine
المؤلفCharfeddine, Lanouar
تاريخ الإتاحة2022-12-27T08:14:14Z
تاريخ النشر2020
اسم المنشورAccident Analysis and Prevention
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1016/j.aap.2019.105411
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37638
الملخصRoad accident fatalities and accident severity costs have become top priorities and concerns for Chinese policymakers. Understanding the principal factors that explain accident severity is considered to be the first step towards the adequate design of an accident prevention strategy. In this paper, we examine the contribution of various types of factors (vehicle, driver and others) in explaining accident severity in China. Unlike previous studies, the analysis gives a particular focus on fatal accidents. Using a large sample of 405,177 observations for 4-wheeled vehicles in the year 2017 and various statistical and econometrics approaches (e.g., OLS, quantile regression and extreme value theory), the results show that the factors explaining the severity of accidents differs significantly between normal and extreme severity accidents, e.g. across quantiles. Interestingly, we find that the gender factor is only significant for fatal accidents. In particular, the analysis shows that male drivers have an increased likelihood of extreme risk taking. On the basis of these empirical findings, a new ratemaking approach that aims to improve road safety and prevention is discussed and proposed. 2019 Elsevier Ltd
اللغةen
الناشرElsevier
الموضوعAccident severity
China
Extreme value theory
Fatal accidents
Prevention strategy
Quantile regression
العنوانRisk factors of road accident severity and the development of a new system for prevention: New insights from China
النوعArticle
رقم المجلد136
dc.accessType Abstract Only


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