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Analysis of the effectiveness of measures to reduce the severity of traffic accidents in the city of Barcelona in the period 2013-2019

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Analysis of the effectiveness of measures to reduce the severity of traffic accidents in the city of Barcelona in the period 2013-2019

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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


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