Abstract
Road crashes leading to death or severe injuries have long been a major public concern. Road safety specialists recently became interested in using decision-making methods to evaluate Road Safety Performance (RSP). In this regard, Data Envelopment Analysis (DEA) has been frequently implemented as an effective tool for analyzing RSP. It is noteworthy that RSP has always been measured by taking into account only the efficient frontier (called optimistic DEA), but RSP can also be measured based on the anti-efficient frontier (called pessimistic DEA). In addition, Cross Efficiency Method (CEM) is now known as an effective DEA-based approach for unique ranking of Decision-Making Units (DMUs). CEM typically uses a linear average method to aggregate target DMUs, which does not reflect the preference structure of Decision Makers (DMs). It was recently argued that a nonlinear method of aggregation, Evidential Reasoning Approach (ERA), can appropriately reflect DM’s preference structure. Therefore, this study aims to present a Double-Frontier CEM aggregated by ERA (called DF-CEM-ERA) in order to evaluate RSP, taking into account the DM’s preference structure. To illustrate the implementation process of ERA in aggregating the cross efficiency and anti-efficiency matrices, two evaluation case studies on RSP are presented.
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Ganji, S.S., Rassafi, A.A. Road Safety Evaluation using a Novel Cross Efficiency Method based on Double Frontiers DEA and Evidential Reasoning Approach. KSCE J Civ Eng 23, 850–865 (2019). https://doi.org/10.1007/s12205-018-0401-3
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DOI: https://doi.org/10.1007/s12205-018-0401-3