Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers
Seyedreza Seyedalizadeh Ganji,
Amir Abbas Rassafi and
Samaneh Jamshidi Bandari
Socio-Economic Planning Sciences, 2020, vol. 69, issue C
Data envelopment analysis (DEA) has recently become relatively popular with road safety experts. Therefore, various decision-making units (DMUs), such as EU countries, have been assessed in terms of road safety performance (RSP). However, the DEA has been criticized because it evaluates DMUs based only on the concept of self-assessment, and, therefore does not provide a unique ranking for DMUs. Therefore, cross efficiency method (CEM) was developed to overcome this shortcoming. Peer-evaluations in addition to self-evaluation have made the CEM to be recognized as an effective method for ranking DMUs. The traditional CEM is based only on the standard CCR (Charnes, Cooper and Rhodes) model, and it evaluates DMUs according to their position relative to the best practice frontier while neglecting the worst practice frontier. However, the DMUs can also be assessed based on their position relative to the worst practice frontier. In this regard, the present study aims to provide a double-frontier CEM for assessing RSP by taking into account the best and worst frontiers simultaneously. For this purpose, the cross efficiency and cross anti-efficiency matrices are generated.
Keywords: Road safety performance (RSP); Data envelopment analysis (DEA); Double-frontier cross-efficiency method; Evidential reasoning approach (ERA); OWA operator weights (search for similar items in EconPapers)
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