Serveur d'exploration Santé et pratique musicale

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Relationship between hazard-perception-test scores and proportion of hard-braking events during on-road driving - An investigation using a range of thresholds for hard-braking.

Identifieur interne : 000481 ( Main/Exploration ); précédent : 000480; suivant : 000482

Relationship between hazard-perception-test scores and proportion of hard-braking events during on-road driving - An investigation using a range of thresholds for hard-braking.

Auteurs : Assaf Botzer [Israël] ; Oren Musicant [Israël] ; Yaniv Mama [Israël]

Source :

RBID : pubmed:31446098

Descripteurs français

English descriptors

Abstract

Drivers with higher proportion of hard braking events have greater potential to be involved in an accident. In this study, we tested if hard braking events might be accounted for by drivers' hazard perception (HP) ability. Our investigation was based on an original approach. Usually, researchers define hard braking according to a single deceleration threshold (e.g., g<-0.5). In this study, we chose different thresholds for hard braking (-0.25 to -0.6 g) and for each threshold, we examined the linkage between HP test (HPT) scores and the proportion of hard braking events. We hypothesized that this linkage would be stronger if the threshold that defines hard braking is higher. This is because the stronger the braking events, the higher the likelihood that they resulted from later detection of hazards and the lower the likelihood that they resulted from other causes (e.g., road humps). Thirty-three drivers completed an HPT and used a smartphone app that recorded their vehicle kinematics. We estimated the coefficient of HPT score in a series of binomial regression models on the proportion of hard braking events. In accordance with our hypothesis, we found that the coefficient of HPT score changed as a function of the threshold for hard braking. This finding was based on a significant negative Spearman correlation between the coefficients and the threshold and on linear functions that we derived from two binomial models that allowed the coefficient of HPT to vary according to the threshold. Our findings show that hard braking events are related to HP ability and can inform safety interventions in response to excessive proportion of hard braking events. In addition, they demonstrate that using a range of thresholds for hard braking is a practical tool in the study of hard braking events. From a theoretical perspective, our findings provide strong support to hazard perception theory.

DOI: 10.1016/j.aap.2019.105267
PubMed: 31446098


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Relationship between hazard-perception-test scores and proportion of hard-braking events during on-road driving - An investigation using a range of thresholds for hard-braking.</title>
<author>
<name sortKey="Botzer, Assaf" sort="Botzer, Assaf" uniqKey="Botzer A" first="Assaf" last="Botzer">Assaf Botzer</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Industrial Engineering & management, Ariel University, Ariel 40700, Israel. Electronic address: assafbo@ariel.ac.il.</nlm:affiliation>
<country xml:lang="fr">Israël</country>
<wicri:regionArea>Department of Industrial Engineering & management, Ariel University, Ariel 40700</wicri:regionArea>
<wicri:noRegion>Ariel 40700</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Musicant, Oren" sort="Musicant, Oren" uniqKey="Musicant O" first="Oren" last="Musicant">Oren Musicant</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Industrial Engineering & management, Ariel University, Ariel 40700, Israel.</nlm:affiliation>
<country xml:lang="fr">Israël</country>
<wicri:regionArea>Department of Industrial Engineering & management, Ariel University, Ariel 40700</wicri:regionArea>
<wicri:noRegion>Ariel 40700</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Mama, Yaniv" sort="Mama, Yaniv" uniqKey="Mama Y" first="Yaniv" last="Mama">Yaniv Mama</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Psychology, Ariel University, Ariel 40700, Israel.</nlm:affiliation>
<country xml:lang="fr">Israël</country>
<wicri:regionArea>Department of Psychology, Ariel University, Ariel 40700</wicri:regionArea>
<wicri:noRegion>Ariel 40700</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2019">2019</date>
<idno type="RBID">pubmed:31446098</idno>
<idno type="pmid">31446098</idno>
<idno type="doi">10.1016/j.aap.2019.105267</idno>
<idno type="wicri:Area/Main/Corpus">000440</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000440</idno>
<idno type="wicri:Area/Main/Curation">000440</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000440</idno>
<idno type="wicri:Area/Main/Exploration">000440</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Relationship between hazard-perception-test scores and proportion of hard-braking events during on-road driving - An investigation using a range of thresholds for hard-braking.</title>
<author>
<name sortKey="Botzer, Assaf" sort="Botzer, Assaf" uniqKey="Botzer A" first="Assaf" last="Botzer">Assaf Botzer</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Industrial Engineering & management, Ariel University, Ariel 40700, Israel. Electronic address: assafbo@ariel.ac.il.</nlm:affiliation>
<country xml:lang="fr">Israël</country>
<wicri:regionArea>Department of Industrial Engineering & management, Ariel University, Ariel 40700</wicri:regionArea>
<wicri:noRegion>Ariel 40700</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Musicant, Oren" sort="Musicant, Oren" uniqKey="Musicant O" first="Oren" last="Musicant">Oren Musicant</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Industrial Engineering & management, Ariel University, Ariel 40700, Israel.</nlm:affiliation>
<country xml:lang="fr">Israël</country>
<wicri:regionArea>Department of Industrial Engineering & management, Ariel University, Ariel 40700</wicri:regionArea>
<wicri:noRegion>Ariel 40700</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Mama, Yaniv" sort="Mama, Yaniv" uniqKey="Mama Y" first="Yaniv" last="Mama">Yaniv Mama</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Psychology, Ariel University, Ariel 40700, Israel.</nlm:affiliation>
<country xml:lang="fr">Israël</country>
<wicri:regionArea>Department of Psychology, Ariel University, Ariel 40700</wicri:regionArea>
<wicri:noRegion>Ariel 40700</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Accident; analysis and prevention</title>
<idno type="eISSN">1879-2057</idno>
<imprint>
<date when="2019" type="published">2019</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Accidents, Traffic (prevention & control)</term>
<term>Adult (MeSH)</term>
<term>Automobile Driving (MeSH)</term>
<term>Deceleration (adverse effects)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Mobile Applications (MeSH)</term>
<term>Models, Statistical (MeSH)</term>
<term>Reaction Time (physiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Accidents de la route (prévention et contrôle)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Applications mobiles (MeSH)</term>
<term>Conduite automobile (MeSH)</term>
<term>Décélération (effets indésirables)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Modèles statistiques (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Temps de réaction (physiologie)</term>
</keywords>
<keywords scheme="MESH" qualifier="adverse effects" xml:lang="en">
<term>Deceleration</term>
</keywords>
<keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr">
<term>Décélération</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr">
<term>Temps de réaction</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Reaction Time</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Accidents, Traffic</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr">
<term>Accidents de la route</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adult</term>
<term>Automobile Driving</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Mobile Applications</term>
<term>Models, Statistical</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Applications mobiles</term>
<term>Conduite automobile</term>
<term>Femelle</term>
<term>Humains</term>
<term>Modèles statistiques</term>
<term>Mâle</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Drivers with higher proportion of hard braking events have greater potential to be involved in an accident. In this study, we tested if hard braking events might be accounted for by drivers' hazard perception (HP) ability. Our investigation was based on an original approach. Usually, researchers define hard braking according to a single deceleration threshold (e.g., g<-0.5). In this study, we chose different thresholds for hard braking (-0.25 to -0.6 g) and for each threshold, we examined the linkage between HP test (HPT) scores and the proportion of hard braking events. We hypothesized that this linkage would be stronger if the threshold that defines hard braking is higher. This is because the stronger the braking events, the higher the likelihood that they resulted from later detection of hazards and the lower the likelihood that they resulted from other causes (e.g., road humps). Thirty-three drivers completed an HPT and used a smartphone app that recorded their vehicle kinematics. We estimated the coefficient of HPT score in a series of binomial regression models on the proportion of hard braking events. In accordance with our hypothesis, we found that the coefficient of HPT score changed as a function of the threshold for hard braking. This finding was based on a significant negative Spearman correlation between the coefficients and the threshold and on linear functions that we derived from two binomial models that allowed the coefficient of HPT to vary according to the threshold. Our findings show that hard braking events are related to HP ability and can inform safety interventions in response to excessive proportion of hard braking events. In addition, they demonstrate that using a range of thresholds for hard braking is a practical tool in the study of hard braking events. From a theoretical perspective, our findings provide strong support to hazard perception theory.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM">
<PMID Version="1">31446098</PMID>
<DateCompleted>
<Year>2019</Year>
<Month>11</Month>
<Day>25</Day>
</DateCompleted>
<DateRevised>
<Year>2019</Year>
<Month>11</Month>
<Day>25</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1879-2057</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>132</Volume>
<PubDate>
<Year>2019</Year>
<Month>Nov</Month>
</PubDate>
</JournalIssue>
<Title>Accident; analysis and prevention</Title>
<ISOAbbreviation>Accid Anal Prev</ISOAbbreviation>
</Journal>
<ArticleTitle>Relationship between hazard-perception-test scores and proportion of hard-braking events during on-road driving - An investigation using a range of thresholds for hard-braking.</ArticleTitle>
<Pagination>
<MedlinePgn>105267</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0001-4575(19)30529-9</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.aap.2019.105267</ELocationID>
<Abstract>
<AbstractText>Drivers with higher proportion of hard braking events have greater potential to be involved in an accident. In this study, we tested if hard braking events might be accounted for by drivers' hazard perception (HP) ability. Our investigation was based on an original approach. Usually, researchers define hard braking according to a single deceleration threshold (e.g., g<-0.5). In this study, we chose different thresholds for hard braking (-0.25 to -0.6 g) and for each threshold, we examined the linkage between HP test (HPT) scores and the proportion of hard braking events. We hypothesized that this linkage would be stronger if the threshold that defines hard braking is higher. This is because the stronger the braking events, the higher the likelihood that they resulted from later detection of hazards and the lower the likelihood that they resulted from other causes (e.g., road humps). Thirty-three drivers completed an HPT and used a smartphone app that recorded their vehicle kinematics. We estimated the coefficient of HPT score in a series of binomial regression models on the proportion of hard braking events. In accordance with our hypothesis, we found that the coefficient of HPT score changed as a function of the threshold for hard braking. This finding was based on a significant negative Spearman correlation between the coefficients and the threshold and on linear functions that we derived from two binomial models that allowed the coefficient of HPT to vary according to the threshold. Our findings show that hard braking events are related to HP ability and can inform safety interventions in response to excessive proportion of hard braking events. In addition, they demonstrate that using a range of thresholds for hard braking is a practical tool in the study of hard braking events. From a theoretical perspective, our findings provide strong support to hazard perception theory.</AbstractText>
<CopyrightInformation>Copyright © 2019 Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Botzer</LastName>
<ForeName>Assaf</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>Department of Industrial Engineering & management, Ariel University, Ariel 40700, Israel. Electronic address: assafbo@ariel.ac.il.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Musicant</LastName>
<ForeName>Oren</ForeName>
<Initials>O</Initials>
<AffiliationInfo>
<Affiliation>Department of Industrial Engineering & management, Ariel University, Ariel 40700, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Mama</LastName>
<ForeName>Yaniv</ForeName>
<Initials>Y</Initials>
<AffiliationInfo>
<Affiliation>Department of Psychology, Ariel University, Ariel 40700, Israel.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2019</Year>
<Month>08</Month>
<Day>22</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>England</Country>
<MedlineTA>Accid Anal Prev</MedlineTA>
<NlmUniqueID>1254476</NlmUniqueID>
<ISSNLinking>0001-4575</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000063" MajorTopicYN="N">Accidents, Traffic</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001334" MajorTopicYN="Y">Automobile Driving</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D003654" MajorTopicYN="N">Deceleration</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D063731" MajorTopicYN="N">Mobile Applications</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011930" MajorTopicYN="N">Reaction Time</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Braking events</Keyword>
<Keyword MajorTopicYN="N">Hazard perception</Keyword>
<Keyword MajorTopicYN="N">In-vehicle data recorder</Keyword>
<Keyword MajorTopicYN="N">Road safety</Keyword>
<Keyword MajorTopicYN="N">Vehicle kinematics</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2019</Year>
<Month>04</Month>
<Day>03</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised">
<Year>2019</Year>
<Month>08</Month>
<Day>07</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2019</Year>
<Month>08</Month>
<Day>11</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2019</Year>
<Month>8</Month>
<Day>26</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2019</Year>
<Month>11</Month>
<Day>26</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2019</Year>
<Month>8</Month>
<Day>26</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">31446098</ArticleId>
<ArticleId IdType="pii">S0001-4575(19)30529-9</ArticleId>
<ArticleId IdType="doi">10.1016/j.aap.2019.105267</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Israël</li>
</country>
</list>
<tree>
<country name="Israël">
<noRegion>
<name sortKey="Botzer, Assaf" sort="Botzer, Assaf" uniqKey="Botzer A" first="Assaf" last="Botzer">Assaf Botzer</name>
</noRegion>
<name sortKey="Mama, Yaniv" sort="Mama, Yaniv" uniqKey="Mama Y" first="Yaniv" last="Mama">Yaniv Mama</name>
<name sortKey="Musicant, Oren" sort="Musicant, Oren" uniqKey="Musicant O" first="Oren" last="Musicant">Oren Musicant</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SanteMusiqueV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000481 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000481 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    SanteMusiqueV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:31446098
   |texte=   Relationship between hazard-perception-test scores and proportion of hard-braking events during on-road driving - An investigation using a range of thresholds for hard-braking.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:31446098" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a SanteMusiqueV1 

Wicri

This area was generated with Dilib version V0.6.38.
Data generation: Mon Mar 8 15:23:44 2021. Site generation: Mon Mar 8 15:23:58 2021