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<dc:title>Road safety of elder pedestrians in the urban context: An approach based on infrastructure and socioeconomic variables</dc:title>
<dc:creator>Gálvez Pérez, Daniel</dc:creator>
<dc:creator>Guirao Abad, Begoña</dc:creator>
<dc:creator>Ortuño Padilla, Armando</dc:creator>
<dc:subject>Seguridad vial</dc:subject>
<dc:subject>Peatones</dc:subject>
<dc:subject>Infraestructuras</dc:subject>
<dc:subject>Road safety</dc:subject>
<dc:subject>Pedestrians</dc:subject>
<dc:subject>Infrastructures</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>The world generalized phenomenon of population ageing, caused by an increase in life&#xd;
expectancy, has led to a more elderly being actively part of mobility and road traffic. In&#xd;
developed countries, like Spain, fatalities and severe injuries among elderly pedestrians in&#xd;
the urban context are a matter of concern since, in the last decades, the fatal accident risk for&#xd;
elderly pedestrians is rising. Although there is an extensive literature on the decline of&#xd;
driving and pedestrian skills in the elderly, few research has been devoted to the impact of&#xd;
the street type and socioeconomic factors per urban district on this type of collisions.&#xd;
The road safety analysis of pedestrians´ collisions is complex due to the diversity of the&#xd;
features, the dispersion of the data and the lack of infrastructure information associated to&#xd;
the accident location at official databases. The main target of this paper is the identification&#xd;
of the basic socioeconomic and infrastructure factors that contribute to elder pedestrian&#xd;
accident at urban level, taking the administrative units (districts) as territorial accident&#xd;
location. Madrid is the capital of one of the most rapidly ageing nations in the world, and&#xd;
was selected as case study because it also has a high proportion of elderly residents (19%).&#xd;
The Spanish General Directorate of Traffic (DGT) provided the database (2006-2018) on&#xd;
accident statistics and the crashes involving an elderly in Madrid were filtered to elaborate&#xd;
and ad-hoc data base. The study methodology was based on a negative binomial model to&#xd;
test the accident occurrence at district level. Results revealed the clear influence of the&#xd;
district population variables (density and total inhabitants) together with the activity centres&#xd;
associated to the elderly mobility, followed by the road length and the ageing rate per district.</dc:description>
<dc:date>2022-09-22T11:02:16Z</dc:date>
<dc:date>2022-09-22T11:02:16Z</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/10259/7027</dc:identifier>
<dc:identifier>10.36443/10259/7027</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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