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• W2902229654 startingPage "156" @default.
• W2902229654 abstract "Road traffic accidents are critical public issue in developing countries, and they annually waste a significant amount of Gross Domestic Product (GDP). In order to urgently consider how this problem is related to the current policies, a proper safety evaluation of regional programmes in crash reduction is fundamental to the governments. The current research aims to employ a double-frontier Data Envelopment Analysis (DEA) model to assess the productivity of Iranian regional safety programmes in reducing the number of road fatalities. The safety efficiencies of Iranian provinces are simultaneously estimated using the double frontier DEA to reflect both the optimistic and pessimistic points of view. Then, the Evidential Reasoning (ER) approach is applied to aggregate the obtained efficiency values. These provinces are ranked based on the data panel for 2014-2016. Finally, a double-frontier Malmquist productivity index (MPI) is used to comprehensively measure the safety performance of Iranian roads over a period of time." @default.
• W2902229654 created "2018-12-11" @default.
• W2902229654 creator A5041858229 @default.
• W2902229654 creator A5085116158 @default.
• W2902229654 date "2018-12-05" @default.
• W2902229654 modified "2023-10-18" @default.
• W2902229654 title "Measuring the road safety performance of Iranian provinces: a double-frontier DEA model and evidential reasoning approach" @default.
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• W2902229654 doi "https://doi.org/10.1080/17457300.2018.1535510" @default.
• W2902229654 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30516428" @default.
• W2902229654 hasPublicationYear "2018" @default.
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