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Laboratory Scale Slow Cook-Off Testing of Rocket Propellants: The Combustion Rate Analysis of a Slowly Heated Propellant CRASH-P Test
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Crash causes, countermeasures, and safety policy implications.

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Understanding crash causes requires overcoming flawed assumptions. A balanced approach, like the safe system approach, is crucial for effective traffic safety countermeasures and policy.

Keywords:
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Area of Science:

  • Traffic Safety Research
  • Accident Analysis
  • Public Policy

Background:

  • Established notions of crash causation, particularly the "90 percent human error" paradigm, are based on flawed assumptions and investigator bias.
  • The seminal 1979 Indiana University "Study of Accident Causes" has perpetuated these inaccuracies, hindering effective policy development.
  • Current approaches to defining crash causes and developing countermeasures lack a balanced perspective.

Purpose of the Study:

  • To critically examine the definition of crash causes and their relationship with countermeasures.
  • To challenge the prevalent assumption that approximately 90% of crashes are due to human error.
  • To advocate for a more balanced and effective approach to traffic safety policy.

Main Methods:

  • Analysis of existing literature on crash causation and countermeasures.
  • Critique of the "Study of Accident Causes" and its impact on current assumptions.
  • Exploration of alternative frameworks for understanding crash causality.

Main Results:

  • Investigator bias significantly influences the classification and prevalence of crash causes.
  • The "90 percent human error" statistic is a result of threshold bias, not necessarily accurate causation.
  • Directly linking 90% of countermeasures to "human error" is based on an erroneous assumption.

Conclusions:

  • A re-evaluation of how crash causes are defined is essential for effective safety interventions.
  • The "safe system approach" offers a promising framework for developing balanced and effective crash countermeasures.
  • Overcoming ingrained assumptions is critical for advancing traffic safety policy.