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Using decision trees to extract decision rules from police reports on road accidents

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Using decision trees to extract decision rules from police reports on road accidents

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Nombre: López-Maldonado;D ...
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dc.contributor.author López-Maldonado, Griselda es_ES
dc.contributor.author De Oña, J. es_ES
dc.contributor.author Abellán, J. es_ES
dc.date.accessioned 2020-10-21T03:31:10Z
dc.date.available 2020-10-21T03:31:10Z
dc.date.issued 2012-10-03 es_ES
dc.identifier.issn 1877-0428 es_ES
dc.identifier.uri http://hdl.handle.net/10251/152714
dc.description.abstract [EN] The World Health Organization (WHO) considers that traffic accidents are major public health problem worldwide, for this reason safety managers try to identify the main factors affecting the severity as consequence of road accidents. In order to identify these factors, in this paper, Data Mining (DM) techniques such as Decision Trees (DTs), have been used. A dataset of traffic accidents on rural roads in the province of Granada (Spain) have been analyzed. DTs allow certain decision rules to be extracted. These rules could be used in future road safety campaigns and would enable managers to implement certain priority actions. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of SIIV2012 Scientific Committee es_ES
dc.description.sponsorship The authors are grateful to the Spanish General Directorate of Traffic (DGT) for providing the data necessary for this research. Griselda Lopez wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for their scholarship to train teachers and researchers in Deficit Areas, which has made this work possible. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Procedia - Social and Behavioral Sciences es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Driver injury severity es_ES
dc.subject Logistic-Regression es_ES
dc.subject Models es_ES
dc.subject.classification INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES es_ES
dc.title Using decision trees to extract decision rules from police reports on road accidents es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1016/j.sbspro.2012.09.864 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports es_ES
dc.description.bibliographicCitation López-Maldonado, G.; De Oña, J.; Abellán, J. (2012). Using decision trees to extract decision rules from police reports on road accidents. Procedia - Social and Behavioral Sciences. 53:106-114. https://doi.org/10.1016/j.sbspro.2012.09.864 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 5th International Congress - Sustainability of Road Infrastructures es_ES
dc.relation.conferencedate Octubre 29-31,2012 es_ES
dc.relation.conferenceplace Rome, Italy es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.sbspro.2012.09.864 es_ES
dc.description.upvformatpinicio 106 es_ES
dc.description.upvformatpfin 114 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 53 es_ES
dc.relation.pasarela S\399213 es_ES
dc.contributor.funder Junta de Andalucía es_ES
dc.contributor.funder Dirección General de Tráfico


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