Literature DB >> 11428565

A geographic analysis of motor vehicle collisions with child pedestrians in Long Beach, California: comparing intersection and midblock incident locations.

A S Lightstone1, P K Dhillon, C Peek-Asa, J F Kraus.   

Abstract

OBJECTIVES: The purpose of this study was to use geographic information system (GIS) software to locate areas of high risk for child pedestrian-motor vehicle collisions in the city of Long Beach and to compare risk factors between midblock and intersection collisions.
METHODS: Children 0-14 years of age involved in a motor vehicle versus pedestrian collision that occurred on public roadways in Long Beach, CA, between 1 January 1992 and 30 June 1995, were identified retrospectively from police reports. The GIS software program, ArcView, was used for spatial analysis and distance calculations. chi2 Tests were used to compare the distribution of the characteristics between intersection and midblock collisions.
RESULTS: The average annual incident and fatality rate was 183.3/100,000 children/ year and 2.4/100,000 children/year, respectively. Children less than 5 years of age were significantly more likely to be hit at a midblock location while those aged 5-9 and 10-14 were more often hit at an intersection. Intersection collisions were more likely to occur on major arterials and local streets, and the driver to be the primary party at fault (p<0.001). While intersection incidents tended to occur further from the child's home (64.4%) the majority of midblock incidents (61.5%) occurred within 0.1 miles of the child's residence. For both midblock and intersection locations, pedestrian collisions tended to occur more frequently in those census tracts with a larger number of families per census tract-a measure of household crowding and density.
CONCLUSIONS: Future studies taking into consideration traffic volume and vehicle speed would be useful to focus prevention efforts such as environmental modifications, improving police enforcement, and educational efforts targeted at parents of younger children. As GIS illustrative spatial relationships continue to improve, relationships between pedestrian collision sites and other city landmarks can advance the study of pedestrian incidents.

Entities:  

Mesh:

Year:  2001        PMID: 11428565      PMCID: PMC1730721          DOI: 10.1136/ip.7.2.155

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


  19 in total

1.  Reassessment of lead exposure in New Jersey using GIS technology.

Authors:  W G Guthe; R K Tucker; E A Murphy; R England; E Stevenson; J C Luckhardt
Journal:  Environ Res       Date:  1992-12       Impact factor: 6.498

2.  Child pedestrian and bicyclist injuries: results of community surveillance and a case-control study.

Authors:  J F Kraus; E G Hooten; K A Brown; C Peek-Asa; C Heye; D L McArthur
Journal:  Inj Prev       Date:  1996-09       Impact factor: 2.399

3.  The benefits of the application of geographical information systems in public and environmental health.

Authors:  H J Scholten; M J de Lepper
Journal:  World Health Stat Q       Date:  1991

4.  The epidemiology and prevention of child pedestrian injury.

Authors:  M Malek; B Guyer; I Lescohier
Journal:  Accid Anal Prev       Date:  1990-08

5.  Population, income, and ecological correlates of child pedestrian injury.

Authors:  M Braddock; G Lapidus; D Gregorio; M Kapp; L Banco
Journal:  Pediatrics       Date:  1991-12       Impact factor: 7.124

6.  Differences in child pedestrian injury events by location.

Authors:  P F Agran; D G Winn; C L Anderson
Journal:  Pediatrics       Date:  1994-02       Impact factor: 7.124

7.  Geographical and socio-ecological variations of traffic accidents among children.

Authors:  M F Joly; P M Foggin; I B Pless
Journal:  Soc Sci Med       Date:  1991       Impact factor: 4.634

8.  Childhood pedestrian injuries in the Perth metropolitan area.

Authors:  M R Stevenson; S K Lo; B A Laing; K D Jamrozik
Journal:  Med J Aust       Date:  1992-02-17       Impact factor: 7.738

9.  Demographic analysis of childhood pedestrian injuries.

Authors:  F P Rivara; M Barber
Journal:  Pediatrics       Date:  1985-09       Impact factor: 7.124

10.  Road traffic collisions involving children as pedestrians. Provisional results of a hospital-based study.

Authors:  D H Bass; R Albertyn; J Melis
Journal:  S Afr Med J       Date:  1992-10
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  27 in total

1.  GEOGRAPIC INFORMATION SYSTEMS IN DETERMINING ROAD TRAFFIC CRASH ANALYSIS IN IBADAN, NIGERIA.

Authors:  A Rukewe; O J Taiwo; A A Fatiregun; O O Afuwape; T O Alonge
Journal:  J West Afr Coll Surg       Date:  2014 Jul-Sep

2.  From targeted "black spots" to area-wide pedestrian safety.

Authors:  P Morency; M-S Cloutier
Journal:  Inj Prev       Date:  2006-12       Impact factor: 2.399

3.  Environmental characteristics associated with pedestrian-motor vehicle collisions in Denver, Colorado.

Authors:  Anne K Sebert Kuhlmann; John Brett; Deborah Thomas; Stephan R Sain
Journal:  Am J Public Health       Date:  2009-07-16       Impact factor: 9.308

4.  Virtual reality by mobile smartphone: improving child pedestrian safety.

Authors:  David C Schwebel; Joan Severson; Yefei He; Leslie A McClure
Journal:  Inj Prev       Date:  2016-09-01       Impact factor: 2.399

5.  Discrepancy between actual and estimated speeds of drivers in the presence of child pedestrians.

Authors:  N Harré
Journal:  Inj Prev       Date:  2003-03       Impact factor: 2.399

6.  Child Pedestrian Injury: A Review of Behavioral Risks and Preventive Strategies.

Authors:  David C Schwebel; Aaron L Davis; Elizabeth E O'Neal
Journal:  Am J Lifestyle Med       Date:  2011-06-17

Review 7.  GIS and injury prevention and control: history, challenges, and opportunities.

Authors:  Nathaniel Bell; Nadine Schuurman
Journal:  Int J Environ Res Public Health       Date:  2010-03-11       Impact factor: 3.390

8.  Injury surveillance in low-resource settings using Geospatial and Social Web technologies.

Authors:  Jonathan Cinnamon; Nadine Schuurman
Journal:  Int J Health Geogr       Date:  2010-05-24       Impact factor: 3.918

9.  The impact of built environment on pedestrian crashes and the identification of crash clusters on an urban university campus.

Authors:  Dajun Dai; Emily Taquechel; John Steward; Sheryl Strasser
Journal:  West J Emerg Med       Date:  2010-08

10.  Spatial clusters of violent deaths in a newly urbanized region of Brazil: highlighting the social disparities.

Authors:  Ruth Minamisava; Simonne S Nouer; Otaliba L de Morais Neto; Lícia Kamila Melo; Ana Lucia S S Andrade
Journal:  Int J Health Geogr       Date:  2009-11-27       Impact factor: 3.918

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