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.

• Record URL:
  https://doi.org/10.1504/IJVS.2017.085205
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14793105
• Supplemental Notes:
  • Copyright © 2017 Inderscience Enterprises Ltd.
• Authors:
  • Amelian, Shahab
  • Shojaei, Amir Abas
  • Davoodi, Sayyed Mohammad Reza
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 253-261
• Serial:
  • International Journal of Vehicle Safety
  • Volume: 9
  • Issue Number: 3
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1479-3105
  • EISSN: 1479-3113
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=ijvs

Subject/Index Terms

• TRT Terms: Case studies; Data analysis; Decision making; Highway safety
• Geographic Terms: Iran
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01646471
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 1 2017 11:07AM