View in EDS

An incident reporting and learning system to understand cycling incident causation in Australia: A 12-month implementation of CRIT.

Saved in:
Bibliographic Details
Title: An incident reporting and learning system to understand cycling incident causation in Australia: A 12-month implementation of CRIT.
Authors: Cox, Jolene A.1 (AUTHOR) jcox@usc.edu.au, McLean, Scott1 (AUTHOR), Hulme, Adam2 (AUTHOR), Read, Gemma J.M.1,3 (AUTHOR), Salmon, Paul M.1 (AUTHOR)
Source: Safety Science. Mar2024, Vol. 171, pN.PAG-N.PAG. 1p.
Subjects: Cycling, Road users, Infrastructure (Economics), Road safety measures, Cyclists, Cycling competitions
Abstract: • The CRIT app is an effective data collection tool for cycling incident data. • Factors from across the cycling transport system contribute to cycling incidents. • Cycling incidents result from complex interactions within the transport system. • There are commonalities between crash and near miss incident data. • Incident reporting and learning systems benefit understanding of road safety. The benefits of cycling are well-recognised, however, safety remains a key barrier to cycling participation. The knowledge base on cyclist safety is limited as existing data systems are inadequate for understanding cycling incident causation and many incidents go unreported. This article presents the findings from a 12-month implementation of a new cyclist incident reporting and learning system—the Cyclist Reporting of Incidents Tool (CRIT). A total of 347 cyclists participated in the present study by providing their cycling participation data and cycling incident data, including their perceptions of the contributory factors involved in their crashes and near miss incidents. The analysis included 135 cycling incidents (22 crashes, 113 near miss incidents) from 1962 hours cycled. There was an overall incident rate of 68.8 incidents per 1000 hours cycled, with a crash rate of 11.2 and near miss incident rate of 57.5 incidents per 1000 hours cycled. Cyclists frequently reported that factors relating to road users (e.g., cyclist and driver behaviour), and equipment, environment, and surroundings (e.g., road and cyclist infrastructure) contributed to their cycling incidents. Factors relating to the broader transport system (e.g., infrastructure maintenance and repairs) were also reported. Finally, there were commonalities in the contributory factors reported for crashes and those for near miss incidents, highlighting the importance of understanding near miss incident causation in cyclist safety. We recommend that similar incident reporting and learning systems be implemented for all road users, especially for vulnerable road users whose incidents may not otherwise be captured in data systems. [ABSTRACT FROM AUTHOR]
Copyright of Safety Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 174604637
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An incident reporting and learning system to understand cycling incident causation in Australia: A 12-month implementation of CRIT.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Cox%2C+Jolene+A%2E%22">Cox, Jolene A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jcox@usc.edu.au</i><br /><searchLink fieldCode="AR" term="%22McLean%2C+Scott%22">McLean, Scott</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hulme%2C+Adam%22">Hulme, Adam</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Read%2C+Gemma+J%2EM%2E%22">Read, Gemma J.M.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salmon%2C+Paul+M%2E%22">Salmon, Paul M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Safety+Science%22">Safety Science</searchLink>. Mar2024, Vol. 171, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cycling%22">Cycling</searchLink><br /><searchLink fieldCode="DE" term="%22Road+users%22">Road users</searchLink><br /><searchLink fieldCode="DE" term="%22Infrastructure+%28Economics%29%22">Infrastructure (Economics)</searchLink><br /><searchLink fieldCode="DE" term="%22Road+safety+measures%22">Road safety measures</searchLink><br /><searchLink fieldCode="DE" term="%22Cyclists%22">Cyclists</searchLink><br /><searchLink fieldCode="DE" term="%22Cycling+competitions%22">Cycling competitions</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • The CRIT app is an effective data collection tool for cycling incident data. • Factors from across the cycling transport system contribute to cycling incidents. • Cycling incidents result from complex interactions within the transport system. • There are commonalities between crash and near miss incident data. • Incident reporting and learning systems benefit understanding of road safety. The benefits of cycling are well-recognised, however, safety remains a key barrier to cycling participation. The knowledge base on cyclist safety is limited as existing data systems are inadequate for understanding cycling incident causation and many incidents go unreported. This article presents the findings from a 12-month implementation of a new cyclist incident reporting and learning system—the Cyclist Reporting of Incidents Tool (CRIT). A total of 347 cyclists participated in the present study by providing their cycling participation data and cycling incident data, including their perceptions of the contributory factors involved in their crashes and near miss incidents. The analysis included 135 cycling incidents (22 crashes, 113 near miss incidents) from 1962 hours cycled. There was an overall incident rate of 68.8 incidents per 1000 hours cycled, with a crash rate of 11.2 and near miss incident rate of 57.5 incidents per 1000 hours cycled. Cyclists frequently reported that factors relating to road users (e.g., cyclist and driver behaviour), and equipment, environment, and surroundings (e.g., road and cyclist infrastructure) contributed to their cycling incidents. Factors relating to the broader transport system (e.g., infrastructure maintenance and repairs) were also reported. Finally, there were commonalities in the contributory factors reported for crashes and those for near miss incidents, highlighting the importance of understanding near miss incident causation in cyclist safety. We recommend that similar incident reporting and learning systems be implemented for all road users, especially for vulnerable road users whose incidents may not otherwise be captured in data systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Safety Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=174604637
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ssci.2023.106392
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Cycling
        Type: general
      – SubjectFull: Road users
        Type: general
      – SubjectFull: Infrastructure (Economics)
        Type: general
      – SubjectFull: Road safety measures
        Type: general
      – SubjectFull: Cyclists
        Type: general
      – SubjectFull: Cycling competitions
        Type: general
    Titles:
      – TitleFull: An incident reporting and learning system to understand cycling incident causation in Australia: A 12-month implementation of CRIT.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Cox, Jolene A.
      – PersonEntity:
          Name:
            NameFull: McLean, Scott
      – PersonEntity:
          Name:
            NameFull: Hulme, Adam
      – PersonEntity:
          Name:
            NameFull: Read, Gemma J.M.
      – PersonEntity:
          Name:
            NameFull: Salmon, Paul M.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 09257535
          Numbering:
            – Type: volume
              Value: 171
          Titles:
            – TitleFull: Safety Science
              Type: main
ResultId 1