Mapping patterns of pedestrian fatal accidents in Israel

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Mapping patterns of pedestrian fatal accidents in Israel. / Prato, Carlo Giacomo; Gitelman, Victoria; Bekhor, Shlomo.

In: Accident Analysis & Prevention, Vol. 44, No. 1, 2012, p. 56-62.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Author

Prato, Carlo Giacomo; Gitelman, Victoria; Bekhor, Shlomo / Mapping patterns of pedestrian fatal accidents in Israel.

In: Accident Analysis & Prevention, Vol. 44, No. 1, 2012, p. 56-62.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Bibtex

@article{9e2822359b3447d8875d617c6072f5fc,
title = "Mapping patterns of pedestrian fatal accidents in Israel",
publisher = "Elsevier Ltd.",
author = "Prato, {Carlo Giacomo} and Victoria Gitelman and Shlomo Bekhor",
year = "2012",
doi = "10.1016/j.aap.2010.12.022",
volume = "44",
number = "1",
pages = "56--62",
journal = "Accident Analysis & Prevention",
issn = "0001-4575",

}

RIS

TY - JOUR

T1 - Mapping patterns of pedestrian fatal accidents in Israel

A1 - Prato,Carlo Giacomo

A1 - Gitelman,Victoria

A1 - Bekhor,Shlomo

AU - Prato,Carlo Giacomo

AU - Gitelman,Victoria

AU - Bekhor,Shlomo

PB - Elsevier Ltd.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Kohonen networks

KW - Pedestrian fatalities

KW - Cluster analysis

KW - Accident patterns

U2 - 10.1016/j.aap.2010.12.022

DO - 10.1016/j.aap.2010.12.022

JO - Accident Analysis & Prevention

JF - Accident Analysis & Prevention

SN - 0001-4575

IS - 1

VL - 44

SP - 56

EP - 62

ER -