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dc.contributor.authorMujalli, Randa Oqab
dc.contributor.authorde Oña, Juan
dc.date.accessioned2013-04-10T07:14:12Z
dc.date.available2013-04-10T07:14:12Z
dc.date.issued2013
dc.identifier.citationMujalli, R.O.; de Oña, J. Injury severity models for motor vehicle accidents: a review. Proceedings of the Institution of Civil Engineers- Transport, (2013). [http://hdl.handle.net/10481/24455]es_ES
dc.identifier.issn0965-092X
dc.identifier.issn1751-7710
dc.identifier.otherdoi: 10.1680/tran.11.00026
dc.identifier.urihttp://hdl.handle.net/10481/24455
dc.description“Permission is granted by ICE Publishing to print one copy for personal use. Any other use of these PDF files is subject to reprint fees" (www.transport-ice.com). http://dx.doi.org/10.1680/tran.11.00026es_ES
dc.description.abstractModelling of traffic accidents injury severity is a complex task. In the last few years the number and variety of studies that analyse injury severity of traffic accidents have increased considerably. In this paper 19 modelling techniques used to model injury severity of traffic accidents where at least a 4-wheeled vehicle is involved have been analysed. The analysis and the comparison between models was performed based on seven criteria (modelling technique, number of records, number of variables, area type, features, injury level and model fit). In general, it is not possible to recommend a method that could be identified as the best one. Each modelling technique has its own limitations and characteristics, awareness of which will help analysts to decide the best method to be used in each particular modelling problem. However, some general conclusions can be established: in most cases the results of models’ fits are found to be satisfactory, though not excellent; in the case of data mining models, accuracy improves with balanced datasets; and no correlation was found to exist between the number of accident records and the number of analysed variables.es_ES
dc.description.sponsorshipTRYSE Research Group, Department of Civil Engineering, University of Granada, Spaines_ES
dc.language.isoenges_ES
dc.publisherThomas Telfordes_ES
dc.subjectTraffic accidentes_ES
dc.subjectModelses_ES
dc.subjectReviewes_ES
dc.subjectSeverityes_ES
dc.titleInjury severity models for motor vehicle accidents: a reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1680/tran.11.00026es_ES


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