Evaluation of Decision-making Units in Reducing Traffic Accidents Using Data Envelopment Analysis
نویسندگان
چکیده مقاله:
Background and Objectives: 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. Methods: This descriptive and analytical research was of the comparative type and conducted on people injured and killed in traffic accidents using the resources available to the provincial units to assess the efficiency of resources and also review the appropriate resources required by each province. In this research, DEA was used to measure efficiency and estimate optimal input. 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.
منابع مشابه
Benchmark Forecasting in Data Envelopment Analysis for Decision Making Units
Although DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, we design feedback loops for forecasting inputs and outputs through system dynamics and simulation. Then we use DEA model to f...
متن کاملIncreasing the discrimination power the decision making units based on reducing dispersion of weights in the data envelopment analysis
Data envelopment analysis which is a nonparametric technique for evaluating relative efficiency of the decision making units with multiple inputs and outputs, has been a very popular method among researchers. While this nonparametric technique is popular, it has some drawbacks such as lack of discrimination in efficient units and weights dispersion .The present study, which is a model based on ...
متن کاملA Recurrent Neural Network to Identify Efficient Decision Making Units in Data Envelopment Analysis
In this paper we present a recurrent neural network model to recognize efficient Decision Making Units(DMUs) in Data Envelopment Analysis(DEA). The proposed neural network model is derived from an unconstrained minimization problem. In theoretical aspect, it is shown that the proposed neural network is stable in the sense of lyapunov and globally convergent. The proposed model has a single-laye...
متن کاملRanking Efficient Decision Making Units in Data Envelopment Analysis based on Changing Reference Set
One of the drawbacks of Data Envelopment Analysis (DEA) is the problem of lack of discrimination among efficient Decision Making Units (DMUs). A method for removing this difficulty is called changing reference set proposed by Jahanshahloo and et.al (2007). The method has some drawbacks. In this paper a modified method and new method to overcome this problems are suggested. The main advantage of...
متن کاملThe Comparison of Principal Component Analysis and Data Envelopment Analysis in Ranking of Decision Making Units
In this study, Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA) were compared when these two methods are used for ranking Decision Making Units (DMU) with multiple inputs and outputs. DEA, a nonstatistical technique, is a methodology using a linear programming model for evaluating and ranking DMU’s performance. PCA, a multivariate statistical method, uses new measures defi...
متن کاملCross Efficiency of Decision Making Units with the Negative Data in Data Envelopment Analysis
The cross-efficiency evaluation is an effective method to evaluate the decision making units (DMUs) with the nonnegative inputs and outputs in data envelopment analysis (DEA) and can be performed with the different formulations. But, in some situations the DMUs encounter with the negative inputs and outputs. This paper generalizes the cross efficiency evaluation for the DMUs with the negative i...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 5 شماره 2
صفحات 4- 4
تاریخ انتشار 2020-02
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
کلمات کلیدی برای این مقاله ارائه نشده است
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023