دانلود مقاله ISI انگلیسی شماره 46534
عنوان فارسی مقاله

ارزیابی ریسک ایمنی جاده با استفاده از آنتروپی TOPSIS-RSR بهبودیافته

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46534 2015 16 صفحه PDF سفارش دهید 10710 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Road safety risk evaluation by means of improved entropy TOPSIS–RSR
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Safety Science, Volume 79, November 2015, Pages 39–54

کلمات کلیدی
ایمنی جاده - شاخصی ترکیبی - سنجش عملکرد - مقایسه محلی - سیستم پشتیبانی تصمیم گیری
پیش نمایش مقاله
پیش نمایش مقاله ارزیابی ریسک ایمنی جاده با استفاده از آنتروپی TOPSIS-RSR بهبودیافته

چکیده انگلیسی

Currently, comparisons of road safety performance at a national or sub-national level are worthy of being conducted; both in order to better understand one’s own situation in regards to road safety risk, and to find a meaningful reference (best-in-class) to learn lessons in terms of action program formulation. In this respect, the composite road safety performance index, which condenses the vast amount of road safety information in a comprehensive manner to produce a broad picture of road safety, is rapidly developing and becoming increasingly popular. Mainly due to the unsatisfactory explanation of more detailed aspects of crash causation and injury prevention when considering isolated indicators such as fatality rate. To this end, a means to measure the multi-dimensional concept of road safety in a scientific and systematic manner is urgently required; specifically a performance measuring technique that can combine the multilayer safety performance indicators (SPIs) into an overall index. In this study the improved entropy TOPSIS–RSR methodology is structured to conduct the road safety risk evaluation process from an overall perspective, based on a composite Road Safety Risk Index (RSRI). Using the results of clustering analysis as a relevant reference, a given set of provinces are grouped into several specific classes based on the RSRI score for case study. The contrasts in results prove to verify the robustness of the proposed model. Furthermore, they indicate the feasibility of applying this model as a valuable tool for road safety policymakers to decision-making activities and performance evaluation that contains multi-alternative and multi-criteria.

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