Modelling runway incursion severity

• Published in: Accident analysis and prevention 2015-06, Vol.79, p.88-99
• Main Authors: Wilke, Sabine, Majumdar, Arnab, Ochieng, Washington Y.
• Format: Article
• Language: English
• Subjects: Accident/incident analysis; Accidents, Aviation - prevention & control; Accidents, Aviation - statistics & numerical data; Airport surface safety; Airports; Airports - standards; Airports - statistics & numerical data; Architecture; Forensic engineering; Humans; Mathematical models; Modelling; Models, Theoretical; Predictive safety; Recommendations; Risk analysis; Risk Assessment; Runway incursions; Safety - standards; Safety - statistics & numerical data; Severity; United States
• ISSN: 0001-4575; 1879-2057
• DOI: 10.1016/j.aap.2015.03.016

•The impact of airports and their characteristics on safety occurrences is analyzed.•The physical characteristics of airports influence the severity of occurrences.•Human errors can be predicted based on the characteristics of an airport.•Safety data are not comparable across countries. Analysis of the causes underlying runway incursions is fundamental for the development of effective mitigation measures. However, there are significant weaknesses in the current methods to model these factors. This paper proposes a structured framework for modelling causal factors and their relationship to severity, which includes a description of the airport surface system architecture, establishment of terminological definitions, the determination and collection of appropriate data, the analysis of occurrences for severity and causes, and the execution of a statistical analysis framework. It is implemented in the context of U.S. airports, enabling the identification of a number of priority interventions, including the need for better investigation and causal factor capture, recommendations for airfield design, operating scenarios and technologies, and better training for human operators in the system. The framework is recommended for the analysis of runway incursions to support safety improvements and the methodology is transferable to other areas of aviation safety risk analysis.