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Title: Enhancing Safety Risk Management with Quantitative Measures
Accession Number: 01622479
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: At the airfield in hub airports, many activities occur that involve a range of participants, including various-size aircraft, ground vehicles, and workers. The safety management system is FAA’s approach for systematically managing aviation safety. A major component of the safety management system is safety risk management (SRM), which entails analysis, assessment, and control of safety risks, including risks on the airfield. Current SRM has few specific safety models to estimate the likelihood or frequency of risks. This paper presents an example for development and incorporation of safety models into SRM. Specifically, it discusses safety models for runway incursion that use the following variables: total and general aviation operations, length of runway by type, number of taxiway intersections, snowfall, precipitation, number of hot spots, and construction activity. Categorization and processing of data were significant because each variable used could take on multiple forms, and some types of data involved review of airfield diagrams. The data used were from 137 U.S. hub airports for 2009 through 2014. For modeling, the negative multinomial distribution was used because it proved suitable for representing overdispersed data such as runway incursion frequency. Performance of the models was assessed through the goodness-of-fit measures of log likelihood, overdispersion, and cumu- lative residual plots. Models were developed for five severity categories of runway incursions and three types of surface events. The safety model- ing approach presented here can serve as a foundation for development of other safety models that can be integrated into SRM to enable quantitative analysis of safety risks.
Monograph Title: Public-Sector Aviation: Graduate Research Award Papers, 2017 Monograph Accession #: 01637979
Report/Paper Numbers: 17-01566
Language: English
Authors: Pagination: pp 1-12
Publication Date: 2017
ISBN: 9780309441490
Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Aviation; Planning and Forecasting; Safety and Human Factors; Terminals and Facilities
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:31AM
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