Mostrar el registro sencillo del ítem
dc.contributor.author | Bermúdez, Lluís | es_ES |
dc.contributor.author | Morillo, Isabel | es_ES |
dc.coverage.spatial | east=2.168568; north=41.3873974; name=Barcelona, Espanya | es_ES |
dc.date.accessioned | 2024-01-10T08:42:25Z | |
dc.date.available | 2024-01-10T08:42:25Z | |
dc.date.issued | 2023-09-22 | |
dc.identifier.isbn | 9788413960869 | |
dc.identifier.uri | http://hdl.handle.net/10251/201683 | |
dc.description.abstract | [EN] We study the severity of traffic accidents in the city of Barcelona during the period from 2010 to 2019. We intend to measure the performance of Local Road Safety Plan in Barcelona 2013-2018 actions in reducing fatal/ seriously injured victims, throughout the whole period examined. We also analyse the effect of the risk factors on accident severity to detect which are significant and therefore on which the following measures can be focused to reduce severity. We draw on data available on the Open Data Barcelona platform. Logistic regression model is applied. The results show that the 2013-2016 period presents a lower risk of fatal/serious injuries with a reduction of the severity odds ratio in 10%. This lower risk is even greater in the 2017-2019 period, with a reduction of 18%. In general terms would confirm that the measures have had an effect. Furthermore, it can be observed that there has been a reduction in severe accidents on working days, as well as on the day shift and on normal streets. On the other hand, the incidence of severe accidents has remained the same when two-wheeled or heavy vehicles are involved and when there is speeding, a run-over or a shock. | es_ES |
dc.description.sponsorship | This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities (grant PID2019-105986GB-C21). Likewise, we want to acknowledge the support received by AGAUR of the Catalan Government (Grants 2020DI9 and 2017SGR1147 | es_ES |
dc.format.extent | 5 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Road traffic accidents | es_ES |
dc.subject | Risk factors | es_ES |
dc.subject | Road safety | es_ES |
dc.title | Analysis of the effectiveness of measures to reduce the severity of traffic accidents in the city of Barcelona in the period 2013-2019 | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/CARMA2023.2023.16472 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105986GB-C21/ES/MODELOS PREDICTIVOS PARA EL RIESGO EN SEGUROS Y FINANZAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GC//2020DI9 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GC//2017SGR1147 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Bermúdez, L.; Morillo, I. (2023). Analysis of the effectiveness of measures to reduce the severity of traffic accidents in the city of Barcelona in the period 2013-2019. Editorial Universitat Politècnica de València. 41-45. https://doi.org/10.4995/CARMA2023.2023.16472 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 28-30, 2023 | es_ES |
dc.relation.conferenceplace | Sevilla, España | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16472 | es_ES |
dc.description.upvformatpinicio | 41 | es_ES |
dc.description.upvformatpfin | 45 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\16472 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Generalitat de Catalunya | es_ES |