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http://hdl.handle.net/1942/28764
Title: | Ranking road safety risk factors using preference structures and fuzzy preference structures | Authors: | SHEN, Yongjun HERMANS, Elke BAO, Qiong |
Issue Date: | 2018 | Publisher: | WORLD SCIENTIFIC PUBL CO PTE LTD | Source: | Liu, J Lu, J Xu, Y Martinez, L Kerre, EE (Ed.). DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, WORLD SCIENTIFIC PUBL CO PTE LTD,p. 1341-1348 | Series/Report: | World Scientific Proceedings Series on Computer Engineering and Information Science | Abstract: | Traditionally, road safety research focused on describing, explaining and predicting the number of crashes and casualties. In addition to the investigation of road safety outcomes, essential underlying risk factors are worthwhile studying. Insight into the importance of each risk factor provides policymakers with valuable information about the kind of measures most urgently needed to improve road safety. Road safety risk factors may be ranked in several ways. Classical preference structures and fuzzy preference structures, both well-studied mathematical structures in the theory of preference modeling, are introduced in this paper and applied to an European data set. These techniques prove to be promising for the road safety risk context. | Notes: | [Shen, Yongjun; Bao, Qiong] Southeast Univ, Sch Transportat, Sipailou 2, Nanjing 210096, Jiangsu, Peoples R China. [Hermans, Elke] Hasselt Univ, Transportat Res Inst, Wetenschapspk 5 Bus 6, B-3590 Diepenbeek, Belgium. | Document URI: | http://hdl.handle.net/1942/28764 | ISBN: | 9789813273221 | DOI: | 10.1142/9789813273238_0167 | ISI #: | 000468160600167 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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paper 52.pdf Restricted Access | Peer-reviewed author version | 123.5 kB | Adobe PDF | View/Open Request a copy |
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