Skip to search boxSkip to navigationSkip to main content

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

Original title: Sistemas de información geográfica: Aplicación práctica para el estudio de atropellos en el cercado De Lima, Perú
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

Spanish

Pages from-to (Number of pages)

Pages 725-731 (7 pages)

Journal (Volume, Issue Number)

Revista Peruana de Medicina Experimental y Salud Publica (Volume 33, Issue 4)

Publication milestones

  • Published - 01/10/2016

Publication status

Published - 01/10/2016

ISSN

1726-4634

Publication IDs

  • Scopus: 85013391521
  • PubMed: 28327843

Abstract

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.

Publication metrics

Metrics

Scopus
Citations

PlumX, opens in new tab

Usage
1299
Citations
4
Captures
59

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well