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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24949

Title: A fuzzy decision-support system in road safety planning
Authors: Behnood, Hamid Reza
Ayati, Esmaeel
Brijs, Tom
Neghab, Mohammadali Pirayesh
Shen, Yongjun
Issue Date: 2017
Abstract: The objective of this research was to develop a decision-support system to help road safety policy makers make the right choices in road safety planning based on the efficiency of previously implemented safety measures. The measures considered for each region in the study include performance indicators about police operations, treated black spots, freeway and highway facility supplies, speed control cameras, emergency medical services and road lighting projects. To this end, an inefficiency measure is calculated, defined by the proportion of fatality rates in relation to the combined measure of road safety performance indicators, which should be minimised. The relative inefficiency for each region is modelled using the data envelopment analysis (DEA) technique, which follows a benchmarking and target-setting process. In the next step, a fuzzy decision-making system is constructed to convert the information obtained from the DEA into a rule-based system that can be used by policy makers to evaluate the expected outcomes of certain alternative investment strategies in road safety. Using the resultant fuzzy decision-support system, policy makers can analyse alternative strategies in addition to those unique targets suggested by the DEA benchmarking and target-setting process.
Notes: [Behnood, Hamid Reza] Imam Khomeini Int Univ, Civil Engn Dept, Qazvin, Iran. [Ayati, Esmaeel] Ferdowsi Univ Mashhad, Fac Engn, Dept Civil Engn, Technoecon Rd Safety Res Ctr, Mashhad, Iran. [Brijs, Tom; Shen, Yongjun] Hasselt Univ, Transportat Res Inst IMOB, Diepenbeek, Belgium. [Neghab, Mohammadali Pirayesh] Ferdowsi Univ Mashhad, Fac Engn, Dept Ind Engn, Mashhad, Iran.
URI: http://hdl.handle.net/1942/24949
DOI: 10.1680/jtran.15.00062
ISI #: 000410673200008
ISSN: 0965-092X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2018
Appears in Collections: Research publications

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