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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
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Creating a hazard-based training and assessment tool for emergency response drivers.

Victoria Kroll1, Andrew K Mackenzie1, Thomas Goodge1

  • 1Nottingham Trent University, United Kingdom.

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PubMed
Summary

Emergency response drivers (ERDs) demonstrated improved hazard recognition and decision-making using a new Holistic Hazard Test. This innovative tool effectively assesses ERD skills, suggesting potential for enhanced driver training and assessment.

Keywords:
Emergency response drivingHazard perceptionHazard predictionWhat happens next?

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Area of Science:

  • Road safety research
  • Driver training and assessment methodologies
  • Human factors in emergency response

Background:

  • Emergency response drivers (ERDs) undertake high-risk driving, necessitating advanced training.
  • Current training and assessment methods may not fully capture the complexities of real-world emergency driving scenarios.
  • There is a need for innovative tools to effectively train and assess ERD situational awareness and decision-making.

Purpose of the Study:

  • To investigate an innovative format for a new tool, the single-clip Holistic Hazard Test, for training and assessing emergency response drivers.
  • To create and validate a proof-of-concept test with multiple hazards and assessment probes.
  • To assess the generalisability of the Holistic Hazard Test across different geographical locations.

Main Methods:

  • Development of a 15-minute proof-of-concept Holistic Hazard Test with hazards, multiple-choice questions (MCQs), and self-reported safety ratings.
  • Refinement of the test format and creation of multiple tests across four UK counties.
  • Recruitment of ERDs and control participants, with ERDs completing both familiar and unfamiliar location tests.

Main Results:

  • Emergency response drivers (ERDs) showed higher accuracy on MCQs compared to control groups in both studies.
  • Response times to hazards did not initially reach statistical significance but improved in the second study.
  • ERDs scored more hazard points, indicating faster hazard response, and location familiarity did not impact performance.

Conclusions:

  • The Holistic Hazard Test effectively assesses ERD-specific skills in hazard spotting, prediction, and response.
  • The test's generalisability across different locations suggests broad applicability for training and assessment.
  • Further refinement of this tool is recommended for comprehensive assessment and development into a training resource for emergency response drivers.