TDI

Accident Frequency Analysis Methods

Duration

5 Days

Start Date

4-May-2026

End Date

8-May-2026

Venue

LONDON – UK

price

1690 KD

20% discount for group above 5 attendees

 

Course Overview

This course provides a comprehensive understanding of techniques used to analyze the frequency of workplace accidents and incidents. It focuses on statistical methods and tools that help organizations identify trends, assess risk levels, and develop preventive strategies. The course equips participants to use accident data effectively to enhance safety performance and reduce incident rates.

Course Objectives

By the end of this course, participants will be able to:

  • Understand the importance of accident frequency analysis in safety management
  • Collect, classify, and analyze accident and incident data accurately
  • Apply statistical methods to calculate accident frequency rates
  • Identify patterns and trends in accident occurrence
  • Use accident frequency data to inform risk assessments and safety improvements
  • Communicate findings and recommend effective accident prevention strategies

Who Should Attend

This course is designed for:

  • Safety managers and HSE professionals
  • Risk analysts and data specialists
  • Operations supervisors and team leaders
  • Incident investigation teams
  • Quality and compliance officers

Course Outline

Introduction to Accident Frequency Analysis

  • Purpose and benefits of accident frequency analysis
  • Key concepts: accident, incident, near-miss, severity

Data Collection and Classification

  • Sources of accident data
  • Data quality and reliability
  • Classification of accidents by type, cause, and outcome

Basic Statistical Methods

  • Frequency rates: Total Recordable Incident Rate (TRIR), Lost Time Injury Frequency Rate (LTIFR), etc.
  • Rate calculations and normalization (e.g., per million hours worked)
  • Use of control charts and trend analysis

Advanced Analytical Techniques

  • Regression analysis and correlation
  • Time series analysis for forecasting
  • Bayesian and probabilistic methods

Interpreting and Using Accident Frequency Data

  • Identifying root causes and contributing factors
  • Benchmarking against industry standards
  • Linking frequency analysis to risk management and safety programs

Reporting and Communication

  • Presenting accident frequency data effectively
  • Using dashboards and visualization tools
  • Engaging stakeholders in safety performance discussions

Case Studies and Practical Exercises

  • Analysis of real accident data sets
  • Group activities to calculate and interpret frequency rates
  • Developing recommendations for safety improvement based on data