Volume 5, Issue 2 (Winter 2020)
Health in Emergencies and Disasters Quarterly 2020, 5(2): 105-114 |
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Omidi M R, Omidi N, Mahmoudian Azar Sharabiani A. Evaluation of Decision-making Units in Reducing Traffic Accidents Using Data Envelopment Analysis. Health in Emergencies and Disasters Quarterly 2020; 5 (2) :105-114
URL: http://hdq.uswr.ac.ir/article-1-260-en.html
URL: http://hdq.uswr.ac.ir/article-1-260-en.html
1- Department of Industrial Engineering, Faculty of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran. , mromidi_91@yahoo.com
2- Department of Management, Payame Noor University of Tehran, Tehran, Iran.
3- Department of Industrial Engineering, Payame Noor University of Tehran, Tehran, Iran.
2- Department of Management, Payame Noor University of Tehran, Tehran, Iran.
3- Department of Industrial Engineering, Payame Noor University of Tehran, Tehran, Iran.
Abstract: (3755 Views)
Background: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use Data Envelopment Analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determining the amount of optimal input resources of each provincial unit.
Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The “returns to scale” was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis.
Results: The highest decrease in deaths in traffic accidents (in 2018) was related to Fars Province with 119 people, and the highest decrease in the number of injured cases was related to Khorasan Razavi Province with 1495 people. The RAHVAR Police (Traffic Police of Iran) in Tehran Province had the highest level of input resources, including manpower, equipment, and approved budget. Performance measurement for 2018 showed that out of 31 provinces studied, 10 provinces had a good performance and 21 provinces had acted inefficiently. The research results showed that the proper allocation of resources could push all units to the brink of efficiency.
Conclusion: The trend of accidents in Iran is declining. Most of the RAHVAR Police units operate at an inefficient level, which by increasing their efficiency, the number of accidents can be reduced with a greater slope.
Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The “returns to scale” was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis.
Results: The highest decrease in deaths in traffic accidents (in 2018) was related to Fars Province with 119 people, and the highest decrease in the number of injured cases was related to Khorasan Razavi Province with 1495 people. The RAHVAR Police (Traffic Police of Iran) in Tehran Province had the highest level of input resources, including manpower, equipment, and approved budget. Performance measurement for 2018 showed that out of 31 provinces studied, 10 provinces had a good performance and 21 provinces had acted inefficiently. The research results showed that the proper allocation of resources could push all units to the brink of efficiency.
Conclusion: The trend of accidents in Iran is declining. Most of the RAHVAR Police units operate at an inefficient level, which by increasing their efficiency, the number of accidents can be reduced with a greater slope.
Type of Study: Research |
Subject:
General
Received: 2019/05/20 | Accepted: 2019/12/3 | Published: 2020/01/1
Received: 2019/05/20 | Accepted: 2019/12/3 | Published: 2020/01/1
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This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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