Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20379
Title: Bootstrapping DEA scores for road safety strategic analysis in Brazil
Authors: Bastos, J.T.
SHEN, Yongjun 
HERMANS, Elke 
BRIJS, Tom 
WETS, Geert 
Ferraz, A.C.P.
Issue Date: 2015
Source: International Journal of Computational Intelligence Systems, 8 (S1), p. 29-38
Abstract: In this paper, three risk indicators on road safety are combined into a composite indicator in order to assess the overall fatality risk for the 27 Brazilian states using the so-called multiple layer data envelopment analysis model. The states are first clustered and next, a range of bootstrapped scores is generated to manifest the estimated variability in the road safety performance. Bootstrapping the original DEA scores showed to be a useful strategy to assess the robustness of the states’ ranking.
Notes: [Bastos, Jorge Tiago] Univ Fed Parana, Dept Transportat, Jardim Amer Curitiba, BR-81531990 Curitiba, Parana, Brazil. [Shen, Yongjun; Hermans, Elke; Brijs, Tom; Wets, Geert] Hasselt Univ, Transportat Res Inst, B-3590 Diepenbeek, Belgium. [Pinto Ferraz, Antonio Clovis] Univ Sao Paulo, Dept Transportat Engn, Sch Engn Sao Carlos, BR-13566590 Sao Carlos, SP, Brazil.
Keywords: road safety; bootstrapping; data envelopment analysis; clustering; Brazilian states
Document URI: http://hdl.handle.net/1942/20379
ISSN: 1875-6891
e-ISSN: 1875-6883
DOI: 10.1080/18756891.2015.1129576
ISI #: 000366272000004
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

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