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...
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Veröffentlicht in: | Accident analysis and prevention 2003-05, Vol.35 (3), p.369-379 |
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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 |
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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. 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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 & 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 & numerical data</subject><subject>Safety</subject><subject>Walking - injuries</subject><subject>Walking - statistics & 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 & 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 & numerical data</topic><topic>Safety</topic><topic>Walking - injuries</topic><topic>Walking - statistics & 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> |
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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 |
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