Bootstrapping DEA scores for road safety strategic analysis in Brazil

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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