基于数据包络分析的道路安全评价——以伊朗各省道路为例

Shahab Amelian, A. Shojaei, Sayyed Mohammad Reza Davoodi
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引用次数: 3

摘要

本研究旨在调查伊朗各省道路的效率。考虑到资源的限制,为了更好地分配资源,道路的优先级似乎是必要的。由于在数据包络分析中有可能调查决策单元(dmu),其中有几个输入和输出而不考虑它们的任何权重,因此该方法非常适合排名。为了分析效率,我们采用变规模收益的BCC模型,考虑到求解模型后,多个dmu变得高效,我们采用Anderson-Peterson法确定强效率。考虑到数据包络分析的优点之一是可以为无效率的决策单元提供一个进展模型,本文提到了无效率决策单元的投入和产出为提高效率而发生的本质变化。
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Road safety evaluation using data envelopment analysis case study: roads in provinces in Iran
The present study seeks to investigate efficiency of roads in provinces in Iran. Considering the resource limitation, prioritisation of roads seems necessary for better allocation of resources. Since it is possible to investigate decision-making units (DMUs) where there are several inputs and outputs without considering any weight for them in data envelopment analysis, this method is very suitable for ranking. In order to analyse efficiency, BCC model with variable return to scale was used and given that a number of DMUs become efficient after solving the model, Anderson-Peterson method was employed to determine strong efficiency. Considering that one of the advantages of data envelopment analysis is the possibility of offering a progress model for inefficient DMUs, the essential changes in inputs and outputs of inefficient DMUs for being efficient have been mentioned.
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来源期刊
International Journal of Vehicle Safety
International Journal of Vehicle Safety Engineering-Automotive Engineering
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJVS aims to provide a refereed and authoritative source of information in the field of vehicle safety design, research, and development. It serves applied scientists, engineers, policy makers and safety advocates with a platform to develop, promote, and coordinate the science, technology and practice of vehicle safety. IJVS also seeks to establish channels of communication between industry and academy, industry and government in the field of vehicle safety. IJVS is published quarterly. It covers the subjects of passive and active safety in road traffic as well as traffic related public health issues, from impact biomechanics to vehicle crashworthiness, and from crash avoidance to intelligent highway systems.
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