Improving strategic policies for pedestrian safety enhancement using classification tree modeling
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Soyoung | - |
dc.contributor.author | Qin, Xiao | - |
dc.contributor.author | Oh, Cheol | - |
dc.date.accessioned | 2021-06-22T17:04:51Z | - |
dc.date.available | 2021-06-22T17:04:51Z | - |
dc.date.created | 2021-01-21 | - |
dc.date.issued | 2016-03 | - |
dc.identifier.issn | 0965-8564 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/14175 | - |
dc.description.abstract | Pedestrian safety enhancement is a key component in reducing traffic fatalities in the Republic of Korea. The purpose of this study was to review, validate, specify, and prioritize Korea's strategic policies for pedestrian safety enhancement using the classification tree method to model pedestrian injury severities. The findings show that pedestrian age and movement type are the two primary variables contributing to pedestrian fatalities and severe injuries. Traffic operation, road class, crash location, driver violation, and at-fault vehicle type are all secondary variables associated with pedestrian fatalities and severe injuries. Factors that contributed to crashes were compared with strategic polices for senior zones and school zones, road safety facilities, safe walking environments, and legal obligations of the driver in order to understand why certain polices are ineffective versus effective. Consequently, this study provides prescriptive analysis and specific insights pertaining to strategic policies for pedestrian safety enhancements, which can be employed in other countries for the similar purpose. For further research, this study suggests combining several other data-mining techniques with nationwide data collection. (C) 2016 Elsevier Ltd. All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Improving strategic policies for pedestrian safety enhancement using classification tree modeling | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Oh, Cheol | - |
dc.identifier.doi | 10.1016/j.tra.2016.01.002 | - |
dc.identifier.scopusid | 2-s2.0-84955246389 | - |
dc.identifier.wosid | 000372942100004 | - |
dc.identifier.bibliographicCitation | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, v.85, pp.53 - 64 | - |
dc.relation.isPartOf | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE | - |
dc.citation.title | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE | - |
dc.citation.volume | 85 | - |
dc.citation.startPage | 53 | - |
dc.citation.endPage | 64 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Economics | - |
dc.relation.journalWebOfScienceCategory | Transportation | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.subject.keywordPlus | TRAFFIC INJURY SEVERITY | - |
dc.subject.keywordPlus | NEW-YORK | - |
dc.subject.keywordPlus | VEHICLE CRASHES | - |
dc.subject.keywordPlus | MULTICLASS | - |
dc.subject.keywordPlus | REGRESSION | - |
dc.subject.keywordPlus | IMPACT | - |
dc.subject.keywordAuthor | Pedestrian safety enhancement | - |
dc.subject.keywordAuthor | Injury severities | - |
dc.subject.keywordAuthor | Classification tree | - |
dc.subject.keywordAuthor | Contributing factors | - |
dc.subject.keywordAuthor | Strategic policies | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0965856416000021?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.