2017•International Journal of Vehicle SafetyRequires access

Road safety evaluation using data envelopment analysis case study: roads in provinces in Iran

Sayyed Mohammad Reza Davoodi, Shahab Amelian, Amir Abbas Shojaei

Open publisher page 1 citations

Abstract

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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What this paper is about

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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Available abstract

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.

Key concepts: Data envelopment analysis, Ranking (information retrieval), Resource allocation, Operations research, Computer science, Variable (mathematics), Order (exchange), Resource (disambiguation)

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