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Research Project #7

Research Project #7. Expand the Collection of “Near-Miss” Data to All Modes. Collection of “Near-Miss” Data. Background. Definition A situation that could have resulted in accidental harm or damage but failed to in the absence of any specific measure designed to prevent it.

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Research Project #7

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  1. Research Project #7 Expand the Collection of “Near-Miss” Data to All Modes

  2. Collection of “Near-Miss” Data Background • Definition • A situation that could have resulted in accidental harm or damage but failed to in the absence of any specific measure designed to prevent it. • - “Near-Miss” vs. “Unsafe Situation”

  3. Collection of “Near-Miss” Data Benefits of Unsafe Situation Reporting • Injury Prevention • In-depth quantitative analysis • Stronger safety efforts • Cost-efficiency

  4. Collection of “Near-Miss” Data Methods of Data Collection • Automated data recording systems • Voluntary self-reporting systems

  5. Collection of “Near-Miss” Data Existing Data Systems • Aviation • Aviation Safety Reporting System (ASRS) • Near Midair Collision System (NMACS) • The Confidential Human Factors Incident Reporting Programme (CHIRP) • The Global Analysis and Information Network (GAIN)

  6. Collection of “Near-Miss” Data Existing Data Systems • Maritime • The Nautical Institute International Marine Accident Reporting Scheme (MARS) • Safety Incident Management Information System (SIMIS) • The International Maritime Information Safety System (IMISS) • Rail • Signal Passed at Danger (SPAD) system • Intermodal • Secutitas

  7. Collection of “Near-Miss” Data Project Goals & Objectives • Study Existing Data Systems • Identify Potential Benefits and Problems • Explore Transferability of Reporting • Improve Cross-Modal Utility of Data • Improve Data Analysis Process

  8. Collection of “Near-Miss” Data Methodology • Data Systems Matrix • Human Factors Taxonomy • Voluntary Reporting Guidelines • Automated Methods of Data Collection

  9. Collection of “Near-Miss” Data Data Systems Matrix • Background • Structure • Program Input • Data Management • Program Output

  10. Collection of “Near-Miss” Data Human Factors Taxonomy • Purpose • Classification of causes • Elements • Level 1 – specific errors • Level 2 – predisposing conditions • Methods • Intermodal taxonomy - pilot testing

  11. Collection of “Near-Miss” Data Key Elements in Voluntary Reporting • Voluntary participation • Confidentiality • Legislative protection & immunity • Non-regulatory host agency • Buy-in and support from the community • Feedback • Data System Design

  12. Collection of “Near-Miss” Data Project Approach • Voluntary Reporting • Target areas • Modal participation • Methods • Draft guidelines • Pilot testing • Final guidelines • Modal implementation

  13. Collection of “Near-Miss” Data Project Approach • Automated Reporting • Technology & Unsafe Situations • Advantages of Automated Data Collection • Marine Traffic Patterns Study • Truck Headway Study

  14. Collection of “Near-Miss” Data Conclusion • Value of Unsafe Situation Data in Transportation Safety • (Self-reports + Recorded Data) = Success • Identification of Contributing Factors • Trend Analysis • New Remediation Strategies

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