Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut

The ordered probit model was used to evaluate the effect of roadway and area type features on injury severity of pedestrian crashes in rural Connecticut. Injury severity was coded on the KABCO scale and crashes were limited to those in which the pedestrians were attempting to cross two-lane highways...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Accident analysis and prevention 2003-05, Vol.35 (3), p.369-379
Hauptverfasser: Zajac, Sylvia S, Ivan, John N
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 379
container_issue 3
container_start_page 369
container_title Accident analysis and prevention
container_volume 35
creator Zajac, Sylvia S
Ivan, John N
description The ordered probit model was used to evaluate the effect of roadway and area type features on injury severity of pedestrian crashes in rural Connecticut. Injury severity was coded on the KABCO scale and crashes were limited to those in which the pedestrians were attempting to cross two-lane highways that were controlled by neither stop signs nor traffic signals. Variables that significantly influenced pedestrian injury severity were clear roadway width (the distance across the road including lane widths and shoulders, but excluding the area occupied by on-street parking), vehicle type, driver alcohol involvement, pedestrian age 65 years or older, and pedestrian alcohol involvement. Seven area types were identified: downtown, compact residential, village, downtown fringe, medium-density commercial, low-density commercial, and low-density residential. Two groups of these area types were found to experience significantly different injury severities. Downtown, compact residential, and medium- and low-density commercial areas generally experienced lower pedestrian injury severity than village, downtown fringe, and low-density residential areas.
doi_str_mv 10.1016/S0001-4575(02)00013-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_73101726</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0001457502000131</els_id><sourcerecordid>18746142</sourcerecordid><originalsourceid>FETCH-LOGICAL-c423t-f50d6670f649b396c019a125fa5877af068d09e58660ab9c6f4463088cd00c483</originalsourceid><addsrcrecordid>eNqFkctOGzEUhi0EKmnaRwDNCrWLgeMZ32aFUESgEhIL6NpyPMdgNJkJ9kyk7PoOfcM-CZ4kosus7CN956L_I-SMwiUFKq6eAIDmjEv-A4qfY1Hm9IhMqJJVXgCXx2TyiZySrzG-pVIqyb-QU1oIVlacTcjL3Ni-CzHzrWsGbK1vX9L_bQibLOIag-83WeeyZZeobI2v3jb4789fG7oYR3aFNcY-eNNmNpj4iuOoLAzBNNmsa1u0vbdD_42cONNE_L5_p-T3_PZ5dp8_PN79mt085JYVZZ87DrUQEpxg1aKshAVaGVpwZ7iS0jgQqoYKuRICzKKywjEmSlDK1gCWqXJKLnZzV6F7H9JleumjxaYxLXZD1LJM6clCHAQLqQQTgh4EU-BM0HT9lPAduM0moNOr4JcmbDQFPTrTW2d6FKKh0Ftnelxwvl8wLJZY_-_aS0rA9Q7AFNzaY9DR-qQKax9SvLru_IEVHw_Gp6Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>18746142</pqid></control><display><type>article</type><title>Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Zajac, Sylvia S ; Ivan, John N</creator><creatorcontrib>Zajac, Sylvia S ; Ivan, John N</creatorcontrib><description>The ordered probit model was used to evaluate the effect of roadway and area type features on injury severity of pedestrian crashes in rural Connecticut. Injury severity was coded on the KABCO scale and crashes were limited to those in which the pedestrians were attempting to cross two-lane highways that were controlled by neither stop signs nor traffic signals. Variables that significantly influenced pedestrian injury severity were clear roadway width (the distance across the road including lane widths and shoulders, but excluding the area occupied by on-street parking), vehicle type, driver alcohol involvement, pedestrian age 65 years or older, and pedestrian alcohol involvement. Seven area types were identified: downtown, compact residential, village, downtown fringe, medium-density commercial, low-density commercial, and low-density residential. Two groups of these area types were found to experience significantly different injury severities. Downtown, compact residential, and medium- and low-density commercial areas generally experienced lower pedestrian injury severity than village, downtown fringe, and low-density residential areas.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/S0001-4575(02)00013-1</identifier><identifier>PMID: 12643954</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Alcohol Drinking - adverse effects ; Area type ; Automobile Driving - statistics &amp; numerical data ; Connecticut ; Environment Design ; Humans ; Injury severity ; Models, Statistical ; Pedestrian ; Roadway features ; Rural ; Rural Population - statistics &amp; numerical data ; Safety ; Walking - injuries ; Walking - statistics &amp; numerical data</subject><ispartof>Accident analysis and prevention, 2003-05, Vol.35 (3), p.369-379</ispartof><rights>2002 Elsevier Science Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-f50d6670f649b396c019a125fa5877af068d09e58660ab9c6f4463088cd00c483</citedby><cites>FETCH-LOGICAL-c423t-f50d6670f649b396c019a125fa5877af068d09e58660ab9c6f4463088cd00c483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0001457502000131$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12643954$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zajac, Sylvia S</creatorcontrib><creatorcontrib>Ivan, John N</creatorcontrib><title>Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>The ordered probit model was used to evaluate the effect of roadway and area type features on injury severity of pedestrian crashes in rural Connecticut. Injury severity was coded on the KABCO scale and crashes were limited to those in which the pedestrians were attempting to cross two-lane highways that were controlled by neither stop signs nor traffic signals. Variables that significantly influenced pedestrian injury severity were clear roadway width (the distance across the road including lane widths and shoulders, but excluding the area occupied by on-street parking), vehicle type, driver alcohol involvement, pedestrian age 65 years or older, and pedestrian alcohol involvement. Seven area types were identified: downtown, compact residential, village, downtown fringe, medium-density commercial, low-density commercial, and low-density residential. Two groups of these area types were found to experience significantly different injury severities. Downtown, compact residential, and medium- and low-density commercial areas generally experienced lower pedestrian injury severity than village, downtown fringe, and low-density residential areas.</description><subject>Alcohol Drinking - adverse effects</subject><subject>Area type</subject><subject>Automobile Driving - statistics &amp; numerical data</subject><subject>Connecticut</subject><subject>Environment Design</subject><subject>Humans</subject><subject>Injury severity</subject><subject>Models, Statistical</subject><subject>Pedestrian</subject><subject>Roadway features</subject><subject>Rural</subject><subject>Rural Population - statistics &amp; numerical data</subject><subject>Safety</subject><subject>Walking - injuries</subject><subject>Walking - statistics &amp; numerical data</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkctOGzEUhi0EKmnaRwDNCrWLgeMZ32aFUESgEhIL6NpyPMdgNJkJ9kyk7PoOfcM-CZ4kosus7CN956L_I-SMwiUFKq6eAIDmjEv-A4qfY1Hm9IhMqJJVXgCXx2TyiZySrzG-pVIqyb-QU1oIVlacTcjL3Ni-CzHzrWsGbK1vX9L_bQibLOIag-83WeeyZZeobI2v3jb4789fG7oYR3aFNcY-eNNmNpj4iuOoLAzBNNmsa1u0vbdD_42cONNE_L5_p-T3_PZ5dp8_PN79mt085JYVZZ87DrUQEpxg1aKshAVaGVpwZ7iS0jgQqoYKuRICzKKywjEmSlDK1gCWqXJKLnZzV6F7H9JleumjxaYxLXZD1LJM6clCHAQLqQQTgh4EU-BM0HT9lPAduM0moNOr4JcmbDQFPTrTW2d6FKKh0Ftnelxwvl8wLJZY_-_aS0rA9Q7AFNzaY9DR-qQKax9SvLru_IEVHw_Gp6Y</recordid><startdate>20030501</startdate><enddate>20030501</enddate><creator>Zajac, Sylvia S</creator><creator>Ivan, John N</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>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope></search><sort><creationdate>20030501</creationdate><title>Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut</title><author>Zajac, Sylvia S ; Ivan, John N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-f50d6670f649b396c019a125fa5877af068d09e58660ab9c6f4463088cd00c483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Alcohol Drinking - adverse effects</topic><topic>Area type</topic><topic>Automobile Driving - statistics &amp; numerical data</topic><topic>Connecticut</topic><topic>Environment Design</topic><topic>Humans</topic><topic>Injury severity</topic><topic>Models, Statistical</topic><topic>Pedestrian</topic><topic>Roadway features</topic><topic>Rural</topic><topic>Rural Population - statistics &amp; numerical data</topic><topic>Safety</topic><topic>Walking - injuries</topic><topic>Walking - statistics &amp; numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zajac, Sylvia S</creatorcontrib><creatorcontrib>Ivan, John N</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>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zajac, Sylvia S</au><au>Ivan, John N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2003-05-01</date><risdate>2003</risdate><volume>35</volume><issue>3</issue><spage>369</spage><epage>379</epage><pages>369-379</pages><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>The ordered probit model was used to evaluate the effect of roadway and area type features on injury severity of pedestrian crashes in rural Connecticut. Injury severity was coded on the KABCO scale and crashes were limited to those in which the pedestrians were attempting to cross two-lane highways that were controlled by neither stop signs nor traffic signals. Variables that significantly influenced pedestrian injury severity were clear roadway width (the distance across the road including lane widths and shoulders, but excluding the area occupied by on-street parking), vehicle type, driver alcohol involvement, pedestrian age 65 years or older, and pedestrian alcohol involvement. Seven area types were identified: downtown, compact residential, village, downtown fringe, medium-density commercial, low-density commercial, and low-density residential. Two groups of these area types were found to experience significantly different injury severities. Downtown, compact residential, and medium- and low-density commercial areas generally experienced lower pedestrian injury severity than village, downtown fringe, and low-density residential areas.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>12643954</pmid><doi>10.1016/S0001-4575(02)00013-1</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0001-4575
ispartof Accident analysis and prevention, 2003-05, Vol.35 (3), p.369-379
issn 0001-4575
1879-2057
language eng
recordid cdi_proquest_miscellaneous_73101726
source MEDLINE; Elsevier ScienceDirect Journals
subjects Alcohol Drinking - adverse effects
Area type
Automobile Driving - statistics & numerical data
Connecticut
Environment Design
Humans
Injury severity
Models, Statistical
Pedestrian
Roadway features
Rural
Rural Population - statistics & numerical data
Safety
Walking - injuries
Walking - statistics & numerical data
title Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T11%3A18%3A16IST&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=Factors%20influencing%20injury%20severity%20of%20motor%20vehicle%E2%80%93crossing%20pedestrian%20crashes%20in%20rural%20Connecticut&rft.jtitle=Accident%20analysis%20and%20prevention&rft.au=Zajac,%20Sylvia%20S&rft.date=2003-05-01&rft.volume=35&rft.issue=3&rft.spage=369&rft.epage=379&rft.pages=369-379&rft.issn=0001-4575&rft.eissn=1879-2057&rft_id=info:doi/10.1016/S0001-4575(02)00013-1&rft_dat=%3Cproquest_cross%3E18746142%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=18746142&rft_id=info:pmid/12643954&rft_els_id=S0001457502000131&rfr_iscdi=true