A risk-exposure-resources approach for incorporating the performance efficiency in developing composite safety performance index

Kashani, Ali Tavakoli; Bondarabadi, Moslem Azizi; Besharati, Mohammad Mehdi

doi:10.1080/19427867.2019.1634903

Cited by 7 publications

(2 citation statements)

References 29 publications

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“…They are uncertain in nature [5], and the accuracy and precision of these subjective measures is unlikely. Existing road safety evaluation models, based on multi-criteria decision-making (MCDM) techniques, commonly consider data uncertainty regarding the subjective opinion of safety experts/evaluators, as in [6,7], using a fuzzy-oriented analytic hierarchy process (AHP), in [8,9], using a Pythagorean fuzzy AHP, and in [10], via an analytic network process. On the other hand, when constructing a traffic safety index, extended DEA-oriented MCDM approaches allow subjectivity to be reduced only to the uncertainty of road users' self-reported behaviour, as shown in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, when constructing a traffic safety index, extended DEA-oriented MCDM approaches allow subjectivity to be reduced only to the uncertainty of road users' self-reported behaviour, as shown in this paper. The indicators used here are data on Montenegrin driver behaviours collected through a questionnaire designed for this particular study, and a fuzzy number approach, which has already been successfully applied in both road safety [6,7] and other fields [11,12], was used to describe self-reported behaviour. After defuzzification, these behavioural indicators were integrated into the DEA for weighting and performance index construction.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

Pajković

Grdinić-Rakonjac

2021

Sustainability

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Self-reported behavioural data, being often linguistic variables that represent a qualitative measure of respondents’ opinions/attitudes, are vague, uncertain, and fuzzy in nature. A road safety performance index, based on these fuzzy data, should consider this uncertainty. In this study, fuzzy numbers were used to describe self-reported behaviour on Montenegrin roads, which was further integrated into the data envelopment analysis (DEA), a technique for measuring the relative performance of decision-making units (DMUs). The vagueness of the performance scores obtained in this way was treated with grey relational analysis (GRA). GRA was applied to the cross-efficiency (CE) matrix constructed by the DEA to distinguish Montenegrin municipalities’ performance, with the main goal of describing road safety in the observed territories in the environment of uncertain/grey data. It is concluded that the proposed DEA–GRA model, based on fuzzy data, provides a more reasonable and encompassing measure of performance, and with which the overall ranking position of municipalities can be obtained.

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