Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area
•Injury severity in vehicle-to-motorcycle crashes that have occurred during delivery has been analyzed.•To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model.•Factors positively affecting injury severity in...
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| Veröffentlicht in: | Accident analysis and prevention 2014-01, Vol.62, p.79-86 |
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| creator | Chung, Younshik Song, Tai-Jin Yoon, Byoung-Jo |
| description | •Injury severity in vehicle-to-motorcycle crashes that have occurred during delivery has been analyzed.•To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model.•Factors positively affecting injury severity include crashes with SEVs, traffic violation behaviors, broadside crashes, crashes during night time, and higher speed.•Policy implications were proposed to reduce the injury severity in delivery-motorcycle to vehicle crashes.
More than 56% of motorcycles in Korea are used for the purpose of delivering parcels and food. Since such delivery requires quick service, most motorcyclists commit traffic violations while delivering, such as crossing the centerline, speeding, running a red light, and driving in the opposite direction down one-way streets. In addition, the fatality rate for motorcycle crashes is about 12% of the fatality rate for road traffic crashes, which is considered to be high, although motorcycle crashes account for only 5% of road traffic crashes in South Korea. Therefore, the objective of this study is to analyze the injury severity of vehicle-to-motorcycle crashes that have occurred during delivery. To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model. Based on the results, this study proposes policy implications to reduce the injury severity of vehicle-to-motorcycle crashes during delivery. |
| doi_str_mv | 10.1016/j.aap.2013.08.024 |
| format | Article |
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More than 56% of motorcycles in Korea are used for the purpose of delivering parcels and food. Since such delivery requires quick service, most motorcyclists commit traffic violations while delivering, such as crossing the centerline, speeding, running a red light, and driving in the opposite direction down one-way streets. In addition, the fatality rate for motorcycle crashes is about 12% of the fatality rate for road traffic crashes, which is considered to be high, although motorcycle crashes account for only 5% of road traffic crashes in South Korea. Therefore, the objective of this study is to analyze the injury severity of vehicle-to-motorcycle crashes that have occurred during delivery. To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model. Based on the results, this study proposes policy implications to reduce the injury severity of vehicle-to-motorcycle crashes during delivery.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/j.aap.2013.08.024</identifier><identifier>PMID: 24161584</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Accidents, Occupational - statistics & numerical data ; Accidents, Traffic - statistics & numerical data ; Biological and medical sciences ; Crashes ; Delivery motorcycle ; Delivery service ; Delivery. Postpartum. Lactation ; Fatalities ; Female ; Gynecology. Andrology. Obstetrics ; Humans ; Injuries ; Injury prevention ; Injury severity ; Male ; Medical sciences ; Miscellaneous ; Motorcycles ; Motorcycles - statistics & numerical data ; Ordered probit model ; Prevention and actions ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Regression Analysis ; Republic of Korea ; Roads ; Traffic engineering ; Traffic flow ; Transportation ; Trauma Severity Indices ; Vehicle-to-motorcycle crash</subject><ispartof>Accident analysis and prevention, 2014-01, Vol.62, p.79-86</ispartof><rights>2013 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-51c397387dc3454140287e6d1f87bdc1c3fb2bfa5bc224bed57de7532e19c1333</citedby><cites>FETCH-LOGICAL-c477t-51c397387dc3454140287e6d1f87bdc1c3fb2bfa5bc224bed57de7532e19c1333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0001457513003503$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28293160$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24161584$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chung, Younshik</creatorcontrib><creatorcontrib>Song, Tai-Jin</creatorcontrib><creatorcontrib>Yoon, Byoung-Jo</creatorcontrib><title>Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>•Injury severity in vehicle-to-motorcycle crashes that have occurred during delivery has been analyzed.•To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model.•Factors positively affecting injury severity include crashes with SEVs, traffic violation behaviors, broadside crashes, crashes during night time, and higher speed.•Policy implications were proposed to reduce the injury severity in delivery-motorcycle to vehicle crashes.
More than 56% of motorcycles in Korea are used for the purpose of delivering parcels and food. Since such delivery requires quick service, most motorcyclists commit traffic violations while delivering, such as crossing the centerline, speeding, running a red light, and driving in the opposite direction down one-way streets. In addition, the fatality rate for motorcycle crashes is about 12% of the fatality rate for road traffic crashes, which is considered to be high, although motorcycle crashes account for only 5% of road traffic crashes in South Korea. Therefore, the objective of this study is to analyze the injury severity of vehicle-to-motorcycle crashes that have occurred during delivery. To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model. Based on the results, this study proposes policy implications to reduce the injury severity of vehicle-to-motorcycle crashes during delivery.</description><subject>Accidents, Occupational - statistics & numerical data</subject><subject>Accidents, Traffic - statistics & numerical data</subject><subject>Biological and medical sciences</subject><subject>Crashes</subject><subject>Delivery motorcycle</subject><subject>Delivery service</subject><subject>Delivery. Postpartum. Lactation</subject><subject>Fatalities</subject><subject>Female</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>Injuries</subject><subject>Injury prevention</subject><subject>Injury severity</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Motorcycles</subject><subject>Motorcycles - statistics & numerical data</subject><subject>Ordered probit model</subject><subject>Prevention and actions</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Regression Analysis</subject><subject>Republic of Korea</subject><subject>Roads</subject><subject>Traffic engineering</subject><subject>Traffic flow</subject><subject>Transportation</subject><subject>Trauma Severity Indices</subject><subject>Vehicle-to-motorcycle crash</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU2LFDEQhoMo7jj6A7xIXwQv3aby0UnjSZZVFxY8qOAtpJNqJkN_jElmoP-9GWbUm-wpKeqpl6IeQl4DbYBC-37fWHtoGAXeUN1QJp6QDWjV1YxK9ZRsKKVQC6nkDXmR0r6USiv5nNwwAS1ILTbk5_28P8a1SnjCGPJahbnyOIZSrfW05CW61Y1Y5aU64S6cvy7atMN0JvMOq2-4HMdqwhyXwzKGbOfKRrQvybPBjglfXd8t-fHp7vvtl_rh6-f7248PtRNK5VqC453iWnnHhRQgKNMKWw-DVr13pTv0rB-s7B1jokcvlUclOUPoHHDOt-TdJfcQl19HTNlMITkcRzuXxZKBVpbQDrh8BMo7oYRoH4GKVohOdOX0WwIX1MUlpYiDOcQw2bgaoOasyexN0WTOmgzVpmgqM2-u8cd-Qv934o-XAry9AjY5Ow7Rzi6kf5xmHYeWFu7DhcNy4lPAaJILODv0IaLLxi_hP2v8Bg0-rwc</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Chung, Younshik</creator><creator>Song, Tai-Jin</creator><creator>Yoon, Byoung-Jo</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><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>7X8</scope><scope>7T2</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201401</creationdate><title>Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area</title><author>Chung, Younshik ; Song, Tai-Jin ; Yoon, Byoung-Jo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-51c397387dc3454140287e6d1f87bdc1c3fb2bfa5bc224bed57de7532e19c1333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accidents, Occupational - statistics & numerical data</topic><topic>Accidents, Traffic - statistics & numerical data</topic><topic>Biological and medical sciences</topic><topic>Crashes</topic><topic>Delivery motorcycle</topic><topic>Delivery service</topic><topic>Delivery. Postpartum. Lactation</topic><topic>Fatalities</topic><topic>Female</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Humans</topic><topic>Injuries</topic><topic>Injury prevention</topic><topic>Injury severity</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Motorcycles</topic><topic>Motorcycles - statistics & numerical data</topic><topic>Ordered probit model</topic><topic>Prevention and actions</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Regression Analysis</topic><topic>Republic of Korea</topic><topic>Roads</topic><topic>Traffic engineering</topic><topic>Traffic flow</topic><topic>Transportation</topic><topic>Trauma Severity Indices</topic><topic>Vehicle-to-motorcycle crash</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chung, Younshik</creatorcontrib><creatorcontrib>Song, Tai-Jin</creatorcontrib><creatorcontrib>Yoon, Byoung-Jo</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chung, Younshik</au><au>Song, Tai-Jin</au><au>Yoon, Byoung-Jo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2014-01</date><risdate>2014</risdate><volume>62</volume><spage>79</spage><epage>86</epage><pages>79-86</pages><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>•Injury severity in vehicle-to-motorcycle crashes that have occurred during delivery has been analyzed.•To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model.•Factors positively affecting injury severity include crashes with SEVs, traffic violation behaviors, broadside crashes, crashes during night time, and higher speed.•Policy implications were proposed to reduce the injury severity in delivery-motorcycle to vehicle crashes.
More than 56% of motorcycles in Korea are used for the purpose of delivering parcels and food. Since such delivery requires quick service, most motorcyclists commit traffic violations while delivering, such as crossing the centerline, speeding, running a red light, and driving in the opposite direction down one-way streets. In addition, the fatality rate for motorcycle crashes is about 12% of the fatality rate for road traffic crashes, which is considered to be high, although motorcycle crashes account for only 5% of road traffic crashes in South Korea. Therefore, the objective of this study is to analyze the injury severity of vehicle-to-motorcycle crashes that have occurred during delivery. To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model. Based on the results, this study proposes policy implications to reduce the injury severity of vehicle-to-motorcycle crashes during delivery.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>24161584</pmid><doi>10.1016/j.aap.2013.08.024</doi><tpages>8</tpages></addata></record> |
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| ispartof | Accident analysis and prevention, 2014-01, Vol.62, p.79-86 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Accidents, Occupational - statistics & numerical data Accidents, Traffic - statistics & numerical data Biological and medical sciences Crashes Delivery motorcycle Delivery service Delivery. Postpartum. Lactation Fatalities Female Gynecology. Andrology. Obstetrics Humans Injuries Injury prevention Injury severity Male Medical sciences Miscellaneous Motorcycles Motorcycles - statistics & numerical data Ordered probit model Prevention and actions Public health. Hygiene Public health. Hygiene-occupational medicine Regression Analysis Republic of Korea Roads Traffic engineering Traffic flow Transportation Trauma Severity Indices Vehicle-to-motorcycle crash |
| title | Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area |
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