Geographic information systems: Practical application to study car accidents involving pedestrians in cercado de Lima, Peru

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

2 Citas (Scopus)

Resumen

© 2016, Instituto Nacional de Salud. All rights reserved. The aim of this study was to geospatially explore the occurrence rates of car accidents involving pedestrians in Cercado de Lima (Lima District), Peru. Car accidents involving pedestrians recorded in the 2015 National Police Station Census of the National Statistics and Information Institute were described and georeferenced. Subsequently, a Kernel Density analysis was carried out to locate areas with high, medium, and low density events. Records of 171 car accidents involving pedestrians were studied: the types of vehicles involved were automobiles (56.7%) and smaller vehicles (22.8%). The highest percentage of car accidents involving pedestrians (38.6%) took place between 12:00 p.m. and 5:00 p.m. There were two densely populated areas and two areas with intermediate density for car accidents involving pedestrians, locations that were previously reported as critical due to their deficiencies and high probability of traffic accidents. The use of geographic information systems offers a quick overview of the occurrence rates of car accidents involving pedestrians to make comparisons and enable the local implementation of strategies.
Idioma originalInglés estadounidense
Páginas (desde-hasta)725-731
Número de páginas7
PublicaciónRevista Peruana de Medicina Experimental y Salud Publica
DOI
EstadoPublicada - 1 oct 2016

Huella dactilar

Geographic Information Systems
Peru
Accidents
Automobiles
Traffic Accidents
Police
Censuses
Pedestrians

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title = "Geographic information systems: Practical application to study car accidents involving pedestrians in cercado de Lima, Peru",
abstract = "{\circledC} 2016, Instituto Nacional de Salud. All rights reserved. The aim of this study was to geospatially explore the occurrence rates of car accidents involving pedestrians in Cercado de Lima (Lima District), Peru. Car accidents involving pedestrians recorded in the 2015 National Police Station Census of the National Statistics and Information Institute were described and georeferenced. Subsequently, a Kernel Density analysis was carried out to locate areas with high, medium, and low density events. Records of 171 car accidents involving pedestrians were studied: the types of vehicles involved were automobiles (56.7{\%}) and smaller vehicles (22.8{\%}). The highest percentage of car accidents involving pedestrians (38.6{\%}) took place between 12:00 p.m. and 5:00 p.m. There were two densely populated areas and two areas with intermediate density for car accidents involving pedestrians, locations that were previously reported as critical due to their deficiencies and high probability of traffic accidents. The use of geographic information systems offers a quick overview of the occurrence rates of car accidents involving pedestrians to make comparisons and enable the local implementation of strategies.",
author = "Akram Hern{\'a}ndez-V{\'a}squez and Diego Aza{\~n}edo and Guido Bendez{\'u}-Quispe and Josmel Pacheco-Mendoza and Chaparro, {R. Mart{\'i}n}",
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Geographic information systems: Practical application to study car accidents involving pedestrians in cercado de Lima, Peru. / Hernández-Vásquez, Akram; Azañedo, Diego; Bendezú-Quispe, Guido; Pacheco-Mendoza, Josmel; Chaparro, R. Martín.

En: Revista Peruana de Medicina Experimental y Salud Publica, 01.10.2016, p. 725-731.

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

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N2 - © 2016, Instituto Nacional de Salud. All rights reserved. The aim of this study was to geospatially explore the occurrence rates of car accidents involving pedestrians in Cercado de Lima (Lima District), Peru. Car accidents involving pedestrians recorded in the 2015 National Police Station Census of the National Statistics and Information Institute were described and georeferenced. Subsequently, a Kernel Density analysis was carried out to locate areas with high, medium, and low density events. Records of 171 car accidents involving pedestrians were studied: the types of vehicles involved were automobiles (56.7%) and smaller vehicles (22.8%). The highest percentage of car accidents involving pedestrians (38.6%) took place between 12:00 p.m. and 5:00 p.m. There were two densely populated areas and two areas with intermediate density for car accidents involving pedestrians, locations that were previously reported as critical due to their deficiencies and high probability of traffic accidents. The use of geographic information systems offers a quick overview of the occurrence rates of car accidents involving pedestrians to make comparisons and enable the local implementation of strategies.

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