Mapping patterns of pedestrian fatal accidents in Israel

Prato, Carlo Giacomo, Gitelman, Victoria and Bekhor, Shlomo (2012) Mapping patterns of pedestrian fatal accidents in Israel. Accident Analysis and Prevention, 44 1: 56-62. doi:10.1016/j.aap.2010.12.022

Author Prato, Carlo Giacomo
Gitelman, Victoria
Bekhor, Shlomo
Title Mapping patterns of pedestrian fatal accidents in Israel
Journal name Accident Analysis and Prevention   Check publisher's open access policy
ISSN 0001-4575
Publication date 2012-01-01
Year available 2012
Sub-type Article (original research)
DOI 10.1016/j.aap.2010.12.022
Open Access Status Not Open Access
Volume 44
Issue 1
Start page 56
End page 62
Total pages 7
Place of publication Oxford, United Kingdom
Publisher Elsevier
Language eng
Abstract This study intends to provide insight into pedestrian accidents by uncovering their patterns in order to design preventive measures and to allocate resources for identified problems. Kohonen neural networks are applied to a database of pedestrian fatal accidents occurred during the four-year period between 2003 and 2006. Results show the existence of five pedestrian accident patterns: (i) elderly pedestrians crossing on crosswalks mostly far from intersections in metropolitan areas; (ii) pedestrians crossing suddenly or from hidden places and colliding with two-wheel vehicles on urban road sections; (iii) male pedestrians crossing at night and being hit by four-wheel vehicles on rural road sections; (iv) young male pedestrians crossing at night wide road sections in both urban and rural areas; (v) children and teenagers crossing road sections in small rural communities. From the perspective of preventive measures, results suggest the necessity of designing education and information campaigns for road users as well as allocating resources for infrastructural interventions and law enforcement in order to address the identified major problems.
Keyword Accident patterns
Cluster analysis
Kohonen networks
Pedestrian fatalities
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Social Science Publications
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Citation counts: TR Web of Science Citation Count  Cited 15 times in Thomson Reuters Web of Science Article | Citations
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