A systematic mapping review of surrogate safety assessment using traffic conflict techniques

•Conducted a systematic mapping review on surrogate safety assessment research.•Provided a comprehensive surrogate safety assessment framework covering various aspects of traffic conflicts.•Identified the critical research needs within the field of surrogate safety assessment.•Fundamental research i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Accident analysis and prevention 2021-04, Vol.153, p.106016-106016, Article 106016
Hauptverfasser: Arun, Ashutosh, Haque, Md Mazharul, Bhaskar, Ashish, Washington, Simon, Sayed, Tarek
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 106016
container_issue
container_start_page 106016
container_title Accident analysis and prevention
container_volume 153
creator Arun, Ashutosh
Haque, Md Mazharul
Bhaskar, Ashish
Washington, Simon
Sayed, Tarek
description •Conducted a systematic mapping review on surrogate safety assessment research.•Provided a comprehensive surrogate safety assessment framework covering various aspects of traffic conflicts.•Identified the critical research needs within the field of surrogate safety assessment.•Fundamental research is needed to develop crash-conflict relationships.•Injury severity estimation using surrogates represents a critical research need. Safety assessment of road sections and networks have historically relied on police-reported crash data. These data have several noteworthy and significant shortcomings, including under-reporting, subjectivism, post hoc assessment of crash causes and contributing factors, limited behavioural information, and omitted potential important crash-related factors resulting in an omitted variable bias. Moreover, crashes are relatively rare events and require long observation periods to justify expenditures. The rarity of crashes leads to a moral dilemma—we must wait for sufficient crashes to accrue at a site—some involving injuries and even death—to then justify improvements to prevent crashes. The more quickly the profession can end its reliance on crashes to assess road safety, the better. Surrogate safety assessment methodologies, in contrast, are proactive in design, do not rely on crashes, and require shorter observation timeframes in which to formulate reliable safety assessments. Although surrogate safety assessment methodologies have been developed and assessed over the past 50 years, an overarching and unifying framework does not exist to date. A unifying framework will help to contextualize the role of various methodological developments and begin a productive discussion in the literature about how the various pieces do or should fit together to understand road user risk better. This paper aims to fill this gap by thoroughly mapping traffic conflicts and surrogate safety methodologies. A total of 549 studies were meticulously reviewed to achieve this aim of developing a unifying framework. The resulting framework provides a consolidated and up-to-date summary of surrogate safety assessment methodologies and conflict measures and metrics. Further work is needed to advance surrogate safety methodologies. Critical research needs to include identifying a comprehensive and reliable set of surrogate measures for risk assessment, establishing rigorous relationships between conflicts and crashes, developing ways to capture road user behavi
doi_str_mv 10.1016/j.aap.2021.106016
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2489595255</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0001457521000476</els_id><sourcerecordid>2489595255</sourcerecordid><originalsourceid>FETCH-LOGICAL-c490t-6a9818e5e6c168c2c5a7373e1b57c2174fb6a2b3ab83ff27838819b25d9356f93</originalsourceid><addsrcrecordid>eNp9kE1rGzEQhkVoSJy0P6CXomMv6-rDWkn0FELSFAK5JLeA0MojV8b7UY22wf8-MnZ77EmMeN53mIeQz5wtOePtt-3S-2kpmOB1buvPGVlwo20jmNIfyIIxxpuV0uqSXCFu66iNVhfkUkplhBJ2QV5vKO6xQO9LCrT305SGDc3wJ8EbHSPFOedx4wtQ9BHKnnpEQOxhKHTGA1uyj7FmwzjEXQqFFgi_hvR7BvxIzqPfIXw6vdfk5f7u-faheXz68fP25rEJK8tK03pruAEFbeCtCSIor6WWwDulg-B6FbvWi076zsgYhTbSGG47odZWqjZaeU2-HnunPB72FtcnDLDb-QHGGZ1YGausEkpVlB_RkEfEDNFNOfU-7x1n7iDVbV2V6g5S3VFqzXw51c9dD-t_ib8WK_D9CEA9sprLDkOCIcA6ZQjFrcf0n_p36a-IEw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2489595255</pqid></control><display><type>article</type><title>A systematic mapping review of surrogate safety assessment using traffic conflict techniques</title><source>Elsevier ScienceDirect Journals</source><creator>Arun, Ashutosh ; Haque, Md Mazharul ; Bhaskar, Ashish ; Washington, Simon ; Sayed, Tarek</creator><creatorcontrib>Arun, Ashutosh ; Haque, Md Mazharul ; Bhaskar, Ashish ; Washington, Simon ; Sayed, Tarek</creatorcontrib><description>•Conducted a systematic mapping review on surrogate safety assessment research.•Provided a comprehensive surrogate safety assessment framework covering various aspects of traffic conflicts.•Identified the critical research needs within the field of surrogate safety assessment.•Fundamental research is needed to develop crash-conflict relationships.•Injury severity estimation using surrogates represents a critical research need. Safety assessment of road sections and networks have historically relied on police-reported crash data. These data have several noteworthy and significant shortcomings, including under-reporting, subjectivism, post hoc assessment of crash causes and contributing factors, limited behavioural information, and omitted potential important crash-related factors resulting in an omitted variable bias. Moreover, crashes are relatively rare events and require long observation periods to justify expenditures. The rarity of crashes leads to a moral dilemma—we must wait for sufficient crashes to accrue at a site—some involving injuries and even death—to then justify improvements to prevent crashes. The more quickly the profession can end its reliance on crashes to assess road safety, the better. Surrogate safety assessment methodologies, in contrast, are proactive in design, do not rely on crashes, and require shorter observation timeframes in which to formulate reliable safety assessments. Although surrogate safety assessment methodologies have been developed and assessed over the past 50 years, an overarching and unifying framework does not exist to date. A unifying framework will help to contextualize the role of various methodological developments and begin a productive discussion in the literature about how the various pieces do or should fit together to understand road user risk better. This paper aims to fill this gap by thoroughly mapping traffic conflicts and surrogate safety methodologies. A total of 549 studies were meticulously reviewed to achieve this aim of developing a unifying framework. The resulting framework provides a consolidated and up-to-date summary of surrogate safety assessment methodologies and conflict measures and metrics. Further work is needed to advance surrogate safety methodologies. Critical research needs to include identifying a comprehensive and reliable set of surrogate measures for risk assessment, establishing rigorous relationships between conflicts and crashes, developing ways to capture road user behaviours into surrogate-based safety assessment, and integrating crash severity measures into risk estimation.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/j.aap.2021.106016</identifier><identifier>PMID: 33582529</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Crash surrogates ; Crash-conflict relationship ; Surrogate based crash severity ; Surrogate safety framework ; Traffic conflicts</subject><ispartof>Accident analysis and prevention, 2021-04, Vol.153, p.106016-106016, Article 106016</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright © 2021 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-6a9818e5e6c168c2c5a7373e1b57c2174fb6a2b3ab83ff27838819b25d9356f93</citedby><cites>FETCH-LOGICAL-c490t-6a9818e5e6c168c2c5a7373e1b57c2174fb6a2b3ab83ff27838819b25d9356f93</cites><orcidid>0000-0001-8797-0541 ; 0000-0002-8472-2099</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0001457521000476$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33582529$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Arun, Ashutosh</creatorcontrib><creatorcontrib>Haque, Md Mazharul</creatorcontrib><creatorcontrib>Bhaskar, Ashish</creatorcontrib><creatorcontrib>Washington, Simon</creatorcontrib><creatorcontrib>Sayed, Tarek</creatorcontrib><title>A systematic mapping review of surrogate safety assessment using traffic conflict techniques</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>•Conducted a systematic mapping review on surrogate safety assessment research.•Provided a comprehensive surrogate safety assessment framework covering various aspects of traffic conflicts.•Identified the critical research needs within the field of surrogate safety assessment.•Fundamental research is needed to develop crash-conflict relationships.•Injury severity estimation using surrogates represents a critical research need. Safety assessment of road sections and networks have historically relied on police-reported crash data. These data have several noteworthy and significant shortcomings, including under-reporting, subjectivism, post hoc assessment of crash causes and contributing factors, limited behavioural information, and omitted potential important crash-related factors resulting in an omitted variable bias. Moreover, crashes are relatively rare events and require long observation periods to justify expenditures. The rarity of crashes leads to a moral dilemma—we must wait for sufficient crashes to accrue at a site—some involving injuries and even death—to then justify improvements to prevent crashes. The more quickly the profession can end its reliance on crashes to assess road safety, the better. Surrogate safety assessment methodologies, in contrast, are proactive in design, do not rely on crashes, and require shorter observation timeframes in which to formulate reliable safety assessments. Although surrogate safety assessment methodologies have been developed and assessed over the past 50 years, an overarching and unifying framework does not exist to date. A unifying framework will help to contextualize the role of various methodological developments and begin a productive discussion in the literature about how the various pieces do or should fit together to understand road user risk better. This paper aims to fill this gap by thoroughly mapping traffic conflicts and surrogate safety methodologies. A total of 549 studies were meticulously reviewed to achieve this aim of developing a unifying framework. The resulting framework provides a consolidated and up-to-date summary of surrogate safety assessment methodologies and conflict measures and metrics. Further work is needed to advance surrogate safety methodologies. Critical research needs to include identifying a comprehensive and reliable set of surrogate measures for risk assessment, establishing rigorous relationships between conflicts and crashes, developing ways to capture road user behaviours into surrogate-based safety assessment, and integrating crash severity measures into risk estimation.</description><subject>Crash surrogates</subject><subject>Crash-conflict relationship</subject><subject>Surrogate based crash severity</subject><subject>Surrogate safety framework</subject><subject>Traffic conflicts</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1rGzEQhkVoSJy0P6CXomMv6-rDWkn0FELSFAK5JLeA0MojV8b7UY22wf8-MnZ77EmMeN53mIeQz5wtOePtt-3S-2kpmOB1buvPGVlwo20jmNIfyIIxxpuV0uqSXCFu66iNVhfkUkplhBJ2QV5vKO6xQO9LCrT305SGDc3wJ8EbHSPFOedx4wtQ9BHKnnpEQOxhKHTGA1uyj7FmwzjEXQqFFgi_hvR7BvxIzqPfIXw6vdfk5f7u-faheXz68fP25rEJK8tK03pruAEFbeCtCSIor6WWwDulg-B6FbvWi076zsgYhTbSGG47odZWqjZaeU2-HnunPB72FtcnDLDb-QHGGZ1YGausEkpVlB_RkEfEDNFNOfU-7x1n7iDVbV2V6g5S3VFqzXw51c9dD-t_ib8WK_D9CEA9sprLDkOCIcA6ZQjFrcf0n_p36a-IEw</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Arun, Ashutosh</creator><creator>Haque, Md Mazharul</creator><creator>Bhaskar, Ashish</creator><creator>Washington, Simon</creator><creator>Sayed, Tarek</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8797-0541</orcidid><orcidid>https://orcid.org/0000-0002-8472-2099</orcidid></search><sort><creationdate>20210401</creationdate><title>A systematic mapping review of surrogate safety assessment using traffic conflict techniques</title><author>Arun, Ashutosh ; Haque, Md Mazharul ; Bhaskar, Ashish ; Washington, Simon ; Sayed, Tarek</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-6a9818e5e6c168c2c5a7373e1b57c2174fb6a2b3ab83ff27838819b25d9356f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Crash surrogates</topic><topic>Crash-conflict relationship</topic><topic>Surrogate based crash severity</topic><topic>Surrogate safety framework</topic><topic>Traffic conflicts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arun, Ashutosh</creatorcontrib><creatorcontrib>Haque, Md Mazharul</creatorcontrib><creatorcontrib>Bhaskar, Ashish</creatorcontrib><creatorcontrib>Washington, Simon</creatorcontrib><creatorcontrib>Sayed, Tarek</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arun, Ashutosh</au><au>Haque, Md Mazharul</au><au>Bhaskar, Ashish</au><au>Washington, Simon</au><au>Sayed, Tarek</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A systematic mapping review of surrogate safety assessment using traffic conflict techniques</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>153</volume><spage>106016</spage><epage>106016</epage><pages>106016-106016</pages><artnum>106016</artnum><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>•Conducted a systematic mapping review on surrogate safety assessment research.•Provided a comprehensive surrogate safety assessment framework covering various aspects of traffic conflicts.•Identified the critical research needs within the field of surrogate safety assessment.•Fundamental research is needed to develop crash-conflict relationships.•Injury severity estimation using surrogates represents a critical research need. Safety assessment of road sections and networks have historically relied on police-reported crash data. These data have several noteworthy and significant shortcomings, including under-reporting, subjectivism, post hoc assessment of crash causes and contributing factors, limited behavioural information, and omitted potential important crash-related factors resulting in an omitted variable bias. Moreover, crashes are relatively rare events and require long observation periods to justify expenditures. The rarity of crashes leads to a moral dilemma—we must wait for sufficient crashes to accrue at a site—some involving injuries and even death—to then justify improvements to prevent crashes. The more quickly the profession can end its reliance on crashes to assess road safety, the better. Surrogate safety assessment methodologies, in contrast, are proactive in design, do not rely on crashes, and require shorter observation timeframes in which to formulate reliable safety assessments. Although surrogate safety assessment methodologies have been developed and assessed over the past 50 years, an overarching and unifying framework does not exist to date. A unifying framework will help to contextualize the role of various methodological developments and begin a productive discussion in the literature about how the various pieces do or should fit together to understand road user risk better. This paper aims to fill this gap by thoroughly mapping traffic conflicts and surrogate safety methodologies. A total of 549 studies were meticulously reviewed to achieve this aim of developing a unifying framework. The resulting framework provides a consolidated and up-to-date summary of surrogate safety assessment methodologies and conflict measures and metrics. Further work is needed to advance surrogate safety methodologies. Critical research needs to include identifying a comprehensive and reliable set of surrogate measures for risk assessment, establishing rigorous relationships between conflicts and crashes, developing ways to capture road user behaviours into surrogate-based safety assessment, and integrating crash severity measures into risk estimation.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>33582529</pmid><doi>10.1016/j.aap.2021.106016</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8797-0541</orcidid><orcidid>https://orcid.org/0000-0002-8472-2099</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0001-4575
ispartof Accident analysis and prevention, 2021-04, Vol.153, p.106016-106016, Article 106016
issn 0001-4575
1879-2057
language eng
recordid cdi_proquest_miscellaneous_2489595255
source Elsevier ScienceDirect Journals
subjects Crash surrogates
Crash-conflict relationship
Surrogate based crash severity
Surrogate safety framework
Traffic conflicts
title A systematic mapping review of surrogate safety assessment using traffic conflict techniques
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T13%3A36%3A58IST&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=A%20systematic%20mapping%20review%20of%20surrogate%20safety%20assessment%20using%20traffic%20conflict%20techniques&rft.jtitle=Accident%20analysis%20and%20prevention&rft.au=Arun,%20Ashutosh&rft.date=2021-04-01&rft.volume=153&rft.spage=106016&rft.epage=106016&rft.pages=106016-106016&rft.artnum=106016&rft.issn=0001-4575&rft.eissn=1879-2057&rft_id=info:doi/10.1016/j.aap.2021.106016&rft_dat=%3Cproquest_cross%3E2489595255%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=2489595255&rft_id=info:pmid/33582529&rft_els_id=S0001457521000476&rfr_iscdi=true