Loading…
Prevalence and characteristics of red light running crashes in the United States
About 40% of motor vehicle crashes occur at intersections. In recent years, the number of crashes at traffic signals has increased considerably. A major cause of such crashes is drivers disregarding traffic signals. Despite concerns about the frequent occurrence of red light violations and the signi...
Saved in:
Published in: | Accident analysis and prevention 1999-11, Vol.31 (6), p.687-694 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c392t-3090c95455906dafe0f63e8cf31200b4664d04c834eb7be24e8246c33521a60f3 |
---|---|
cites | cdi_FETCH-LOGICAL-c392t-3090c95455906dafe0f63e8cf31200b4664d04c834eb7be24e8246c33521a60f3 |
container_end_page | 694 |
container_issue | 6 |
container_start_page | 687 |
container_title | Accident analysis and prevention |
container_volume | 31 |
creator | Retting, Richard A. Ulmer, Robert G. Williams, Allan F. |
description | About 40% of motor vehicle crashes occur at intersections. In recent years, the number of crashes at traffic signals has increased considerably. A major cause of such crashes is drivers disregarding traffic signals. Despite concerns about the frequent occurrence of red light violations and the significant crash consequences, relatively little is known about the overall prevalence and characteristics of red light running crashes. The present study examines the prevalence of red light running crashes on a national basis and identifies the characteristics of such crashes and the drivers involved. Cities with especially high rates of fatal red light running crashes are identified. Countermeasures to reduce red light running crashes based on collision patterns and characteristics of drivers involved are discussed. It was estimated that about 260 000 red light running crashes occur annually in the United States, of which approximately 750 result in fatalities. Comparisons were made between red light running drivers and drivers deemed not to have run red lights in these same crashes. As a group, red light runners were more likely than other drivers to be younger than age 30, male, have prior moving violations and convictions for driving while intoxicated, have invalid driver’s licenses, and have consumed alcohol prior to the crash. Comparisons also were made between characteristics of red light runners involved in daytime and nighttime crashes. Nighttime red light runners were more likely than daytime runners to be young, male, and have more deviant characteristics, 53% having high blood alcohol concentrations. |
doi_str_mv | 10.1016/S0001-4575(99)00029-9 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_70034446</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0001457599000299</els_id><sourcerecordid>17342986</sourcerecordid><originalsourceid>FETCH-LOGICAL-c392t-3090c95455906dafe0f63e8cf31200b4664d04c834eb7be24e8246c33521a60f3</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMotlZ_gpKT6GF1skl2NyeR4hcULNSeQ5qdbSPb3ZqkBf-921bEW0_DC887wzyEXDK4Y8Cy-wkAsETIXN4odduFVCXqiPRZkaskBZkfk_4f0iNnIXx2MS9yeUp6DESRcyH6ZDz2uDE1NhapaUpqF8YbG9G7EJ0NtK2ox5LWbr6I1K-bxjVzar0JCwzUNTQukE4bFztmEk3EcE5OKlMHvPidAzJ9fvoYviaj95e34eMosVylMeGgwCoppFSQlaZCqDKOha04SwFmIstECcIWXOAsn2EqsEhFZjmXKTMZVHxArvd7V779WmOIeumCxbo2DbbroHOA7kGRHQRZJyJVxRaUe9D6NgSPlV55tzT-WzPQW-d651xvhWql9M65Vl3v6vfAerbE8l9rL7kDHvYAdj42Dr0O1m2Nl86jjbps3YETP2zlj80</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>17342986</pqid></control><display><type>article</type><title>Prevalence and characteristics of red light running crashes in the United States</title><source>ScienceDirect Freedom Collection</source><creator>Retting, Richard A. ; Ulmer, Robert G. ; Williams, Allan F.</creator><creatorcontrib>Retting, Richard A. ; Ulmer, Robert G. ; Williams, Allan F.</creatorcontrib><description>About 40% of motor vehicle crashes occur at intersections. In recent years, the number of crashes at traffic signals has increased considerably. A major cause of such crashes is drivers disregarding traffic signals. Despite concerns about the frequent occurrence of red light violations and the significant crash consequences, relatively little is known about the overall prevalence and characteristics of red light running crashes. The present study examines the prevalence of red light running crashes on a national basis and identifies the characteristics of such crashes and the drivers involved. Cities with especially high rates of fatal red light running crashes are identified. Countermeasures to reduce red light running crashes based on collision patterns and characteristics of drivers involved are discussed. It was estimated that about 260 000 red light running crashes occur annually in the United States, of which approximately 750 result in fatalities. Comparisons were made between red light running drivers and drivers deemed not to have run red lights in these same crashes. As a group, red light runners were more likely than other drivers to be younger than age 30, male, have prior moving violations and convictions for driving while intoxicated, have invalid driver’s licenses, and have consumed alcohol prior to the crash. Comparisons also were made between characteristics of red light runners involved in daytime and nighttime crashes. Nighttime red light runners were more likely than daytime runners to be young, male, and have more deviant characteristics, 53% having high blood alcohol concentrations.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/S0001-4575(99)00029-9</identifier><identifier>PMID: 10487344</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Accidents, Traffic - statistics & numerical data ; Adult ; Aged ; Aged, 80 and over ; Alcohol Drinking ; Automobile Driving - legislation & jurisprudence ; Female ; Humans ; Intersections ; Male ; Middle Aged ; Pedestrians ; Prevalence ; Red light running ; Risk-Taking ; Traffic signals ; United States ; Urban crashes ; Vehicle crashes</subject><ispartof>Accident analysis and prevention, 1999-11, Vol.31 (6), p.687-694</ispartof><rights>1999 Elsevier Science Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-3090c95455906dafe0f63e8cf31200b4664d04c834eb7be24e8246c33521a60f3</citedby><cites>FETCH-LOGICAL-c392t-3090c95455906dafe0f63e8cf31200b4664d04c834eb7be24e8246c33521a60f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10487344$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Retting, Richard A.</creatorcontrib><creatorcontrib>Ulmer, Robert G.</creatorcontrib><creatorcontrib>Williams, Allan F.</creatorcontrib><title>Prevalence and characteristics of red light running crashes in the United States</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>About 40% of motor vehicle crashes occur at intersections. In recent years, the number of crashes at traffic signals has increased considerably. A major cause of such crashes is drivers disregarding traffic signals. Despite concerns about the frequent occurrence of red light violations and the significant crash consequences, relatively little is known about the overall prevalence and characteristics of red light running crashes. The present study examines the prevalence of red light running crashes on a national basis and identifies the characteristics of such crashes and the drivers involved. Cities with especially high rates of fatal red light running crashes are identified. Countermeasures to reduce red light running crashes based on collision patterns and characteristics of drivers involved are discussed. It was estimated that about 260 000 red light running crashes occur annually in the United States, of which approximately 750 result in fatalities. Comparisons were made between red light running drivers and drivers deemed not to have run red lights in these same crashes. As a group, red light runners were more likely than other drivers to be younger than age 30, male, have prior moving violations and convictions for driving while intoxicated, have invalid driver’s licenses, and have consumed alcohol prior to the crash. Comparisons also were made between characteristics of red light runners involved in daytime and nighttime crashes. Nighttime red light runners were more likely than daytime runners to be young, male, and have more deviant characteristics, 53% having high blood alcohol concentrations.</description><subject>Accidents, Traffic - statistics & numerical data</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alcohol Drinking</subject><subject>Automobile Driving - legislation & jurisprudence</subject><subject>Female</subject><subject>Humans</subject><subject>Intersections</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pedestrians</subject><subject>Prevalence</subject><subject>Red light running</subject><subject>Risk-Taking</subject><subject>Traffic signals</subject><subject>United States</subject><subject>Urban crashes</subject><subject>Vehicle crashes</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMotlZ_gpKT6GF1skl2NyeR4hcULNSeQ5qdbSPb3ZqkBf-921bEW0_DC887wzyEXDK4Y8Cy-wkAsETIXN4odduFVCXqiPRZkaskBZkfk_4f0iNnIXx2MS9yeUp6DESRcyH6ZDz2uDE1NhapaUpqF8YbG9G7EJ0NtK2ox5LWbr6I1K-bxjVzar0JCwzUNTQukE4bFztmEk3EcE5OKlMHvPidAzJ9fvoYviaj95e34eMosVylMeGgwCoppFSQlaZCqDKOha04SwFmIstECcIWXOAsn2EqsEhFZjmXKTMZVHxArvd7V779WmOIeumCxbo2DbbroHOA7kGRHQRZJyJVxRaUe9D6NgSPlV55tzT-WzPQW-d651xvhWql9M65Vl3v6vfAerbE8l9rL7kDHvYAdj42Dr0O1m2Nl86jjbps3YETP2zlj80</recordid><startdate>19991101</startdate><enddate>19991101</enddate><creator>Retting, Richard A.</creator><creator>Ulmer, Robert G.</creator><creator>Williams, Allan F.</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>19991101</creationdate><title>Prevalence and characteristics of red light running crashes in the United States</title><author>Retting, Richard A. ; Ulmer, Robert G. ; Williams, Allan F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-3090c95455906dafe0f63e8cf31200b4664d04c834eb7be24e8246c33521a60f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Accidents, Traffic - statistics & numerical data</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alcohol Drinking</topic><topic>Automobile Driving - legislation & jurisprudence</topic><topic>Female</topic><topic>Humans</topic><topic>Intersections</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pedestrians</topic><topic>Prevalence</topic><topic>Red light running</topic><topic>Risk-Taking</topic><topic>Traffic signals</topic><topic>United States</topic><topic>Urban crashes</topic><topic>Vehicle crashes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Retting, Richard A.</creatorcontrib><creatorcontrib>Ulmer, Robert G.</creatorcontrib><creatorcontrib>Williams, Allan F.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Retting, Richard A.</au><au>Ulmer, Robert G.</au><au>Williams, Allan F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and characteristics of red light running crashes in the United States</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>1999-11-01</date><risdate>1999</risdate><volume>31</volume><issue>6</issue><spage>687</spage><epage>694</epage><pages>687-694</pages><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>About 40% of motor vehicle crashes occur at intersections. In recent years, the number of crashes at traffic signals has increased considerably. A major cause of such crashes is drivers disregarding traffic signals. Despite concerns about the frequent occurrence of red light violations and the significant crash consequences, relatively little is known about the overall prevalence and characteristics of red light running crashes. The present study examines the prevalence of red light running crashes on a national basis and identifies the characteristics of such crashes and the drivers involved. Cities with especially high rates of fatal red light running crashes are identified. Countermeasures to reduce red light running crashes based on collision patterns and characteristics of drivers involved are discussed. It was estimated that about 260 000 red light running crashes occur annually in the United States, of which approximately 750 result in fatalities. Comparisons were made between red light running drivers and drivers deemed not to have run red lights in these same crashes. As a group, red light runners were more likely than other drivers to be younger than age 30, male, have prior moving violations and convictions for driving while intoxicated, have invalid driver’s licenses, and have consumed alcohol prior to the crash. Comparisons also were made between characteristics of red light runners involved in daytime and nighttime crashes. Nighttime red light runners were more likely than daytime runners to be young, male, and have more deviant characteristics, 53% having high blood alcohol concentrations.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>10487344</pmid><doi>10.1016/S0001-4575(99)00029-9</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0001-4575 |
ispartof | Accident analysis and prevention, 1999-11, Vol.31 (6), p.687-694 |
issn | 0001-4575 1879-2057 |
language | eng |
recordid | cdi_proquest_miscellaneous_70034446 |
source | ScienceDirect Freedom Collection |
subjects | Accidents, Traffic - statistics & numerical data Adult Aged Aged, 80 and over Alcohol Drinking Automobile Driving - legislation & jurisprudence Female Humans Intersections Male Middle Aged Pedestrians Prevalence Red light running Risk-Taking Traffic signals United States Urban crashes Vehicle crashes |
title | Prevalence and characteristics of red light running crashes in the United States |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T15%3A43%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prevalence%20and%20characteristics%20of%20red%20light%20running%20crashes%20in%20the%20United%20States&rft.jtitle=Accident%20analysis%20and%20prevention&rft.au=Retting,%20Richard%20A.&rft.date=1999-11-01&rft.volume=31&rft.issue=6&rft.spage=687&rft.epage=694&rft.pages=687-694&rft.issn=0001-4575&rft.eissn=1879-2057&rft_id=info:doi/10.1016/S0001-4575(99)00029-9&rft_dat=%3Cproquest_cross%3E17342986%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c392t-3090c95455906dafe0f63e8cf31200b4664d04c834eb7be24e8246c33521a60f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=17342986&rft_id=info:pmid/10487344&rfr_iscdi=true |