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<dc:title>Urban road accidents and ridehailing services: A study of dependence in Madrid</dc:title>
<dc:creator>Flor García, María</dc:creator>
<dc:creator>Ortuño Padilla, Armando</dc:creator>
<dc:creator>Guirao Abad, Begoña</dc:creator>
<dc:creator>Casares Blanco, Jairo</dc:creator>
<dc:subject>Seguridad vial</dc:subject>
<dc:subject>Accidentes</dc:subject>
<dc:subject>Road safety</dc:subject>
<dc:subject>Accidents</dc:subject>
<dc:description>Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos</dc:description>
<dc:description>Few studies have examined whether there is an association between these services and traffic&#xd;
accidents, and virtually all of the existing studies focus in cities of United States. In this&#xd;
study, we analyse the impact of ridehailing services on traffic accidents with at least one&#xd;
young person dead or seriously injured (16-39 years old) in the municipality of Madrid from&#xd;
2014 to 2018. To do this, a regresion analysis has been carried out using a Random-Effects&#xd;
Negative Binominal Regression (RENB). The results of the model show that Uber and&#xd;
Cabify services are related to a reduction in urban accidents.</dc:description>
<dc:date>2022-09-22T11:17:05Z</dc:date>
<dc:date>2022-09-22T11:17:05Z</dc:date>
<dc:date>2021-07</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:identifier>978-84-18465-12-3</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/7029</dc:identifier>
<dc:identifier>10.36443/10259/7029</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>R-Evolucionando el transporte</dc:relation>
<dc:relation>http://hdl.handle.net/10259/6490</dc:relation>
<dc:relation>https://doi.org/10.36443/9788418465123</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</dc:publisher>
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