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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11921

Title: Pedestrian-vehicle crashes and analytical techniques for stratified contingency tables
Authors: Al-Ghamdi, A.S.
Keywords: Behavior; Crash severity; Fatality rate; Injuries; Pedestrians; Stratified tables
Issue Date: 2002
Publisher: Copyright © 2002 Elsevier Science Ltd. All rights reserved.
Citation: Accident Analysis and Prevention Volume 34, Issue 2, March 2002, Pages 205-214
Abstract: In 1999 there were 450 fatalities due to road crashes in Riyadh, the capital of Saudi Arabia, of which 130 were pedestrians. Hence, every forth person killed on the roads is a pedestrian. The aim of this study is to investigate pedestrian-vehicle crashes in this fast-growing city with two objectives in mind: to analyze pedestrian collisions with regard to their causes, characteristics, location of injury on the victim's body, and most common patterns and to determine the potential for use of the odds ratio technique in the analysis of stratified contingency tables. Data from 638 pedestrian-vehicle crashes reported by police, during the period 1997-1999, were used. A systematic sampling technique was followed in which every third record was used. The analysis showed that the pedestrian fatality rate per 105 population is 2.8. The rates were relatively high within the childhood (1-9 years) and young adult (10-19 years) groups, and the old-age groups (60- >80 years), which indicate that young as well as the elderly people in this city are more likely to be involved in fatal accidents of this type than are those in other age groups. The analysis revealed that 77.1% of pedestrians were probably struck while crossing a roadway either not in a crosswalk or where no crosswalk existed. In addition, the distribution of injuries on the victims' bodies was determined from hospital records. More than one-third of the fatal injuries were located on the head and chest. An attempt was made to conduct an association analysis between crash severity (i.e. injury or fatal) and some of the study variables using chi-square and odds ratio techniques. The categorical nature of the data helped in using these analytical techniques. © 2002 Elsevier Science Ltd. All rights reserved.
URI: http://hdl.handle.net/123456789/11921
ISSN: 00014575
Appears in Collections:College of Engineering

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