title: Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method.
abstract: Concept of composite road safety index is a popular and relatively new concept among road safety experts around the world. As there is a constant need for comparison among different units (countries, municipalities, roads, etc.) there is need to choose an adequate method which will make comparison fair to all compared units. Usually comparisons using one specific indicator (parameter which describes safety or unsafety) can end up with totally different ranking of compared units which is quite complicated for decision maker to determine "real best performers". Need for composite road safety index is becoming dominant since road safety presents a complex system where more and more indicators are constantly being developed to describe it. Among wide variety of models and developed composite indexes, a decision maker can come to even bigger dilemma than choosing one adequate risk measure. As DEA and TOPSIS are well-known mathematical models and have recently been increasingly used for risk evaluation in road safety, we used efficiencies (composite indexes) obtained by different models, based on DEA and TOPSIS, to present PROMETHEE-RS model for selection of optimal method for composite index. Method for selection of optimal composite index is based on three parameters (average correlation, average rank variation and average cluster variation) inserted into a PROMETHEE MCDM method in order to choose the optimal one. The model is tested by comparing 27 police departments in Serbia.
authors: Road Traffic Safety Agency of the Republic of Serbia, Mihajlo Pupin Boulevard 2, 11000 Belgrade, Serbia. Electronic address: miroslav.rosic@abs.gov.rs.
authors: Miroslav
authors: M
authors: Rosić
authors: University of Belgrade, Faculty of Transport and Traffic Engineering Vojvode Stepe 305, 11000 Belgrade, Serbia. Electronic address: d.pesic@sf.bg.ac.rs.
authors: Dalibor
authors: D
authors: Pešić
authors: The Automobile and Motorcycle Association of Serbia (AMSS) - Motor Vehicles Center, Center for Research and Development, Kneginje Zorke 58, 11000 Belgrade, Serbia. Electronic address: kukicdragoslav@gmail.com.
authors: Dragoslav
authors: D
authors: Kukić
authors: University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia. Electronic address: b.antic@sf.bg.ac.rs.
authors: Boris
authors: B
authors: Antić
authors: Traffic Safety Group, Braće Jerković 229, 11000 Belgrade, Serbia. Electronic address: bozovicmilan@yahoo.com.
authors: Milan
authors: M
authors: Božović
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control* / Q000706:statistics & numerical data*; D019985:Benchmarking; D004779:Environment Design; D006801:Humans; D008962:Models, Theoretical; D018570:Risk Assessment / Q000379:methods; D012449:Safety / Q000592:standards*; D055771:Serbia
keywords: Composite index; DEA; MCDM; Optimal; PROMETHEE-RS; Risk; TOPIS