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http://worldcat.org/entity/work/id/51206344

Static Sector Characteristics and Operational Errors

This study was conducted to determine if static sector characteristics are related to the occurrence of operational errors (OEs) at the Indianapolis Air Route Traffic Control Center (ZID). The authors sought to determine whether factors that predicted OEs at the Atlanta Air Route Traffic Control Center (ZTL) in a study conducted by Rodgers et al. (1998) would also predict OE occurrence at other facilities. The data consisted of a 3-year sample of OEs that had occurred in ZID airspace. Sectors were treated as the unit of analysis (n=40). The static characteristics included the following: number of major airports, cubic volume in nautical miles (nm), sector strata, number of shelves, number of VORTACs, number of satellite airports, and number of intersections. Pearson correlations revealed that only sector size (r = -.31, p = .049) and sector altitude strata (r = .31, p = .049) were significantly correlated with the number of OEs. The static sector characteristics were entered into a regression procedure as predictors with the number of OEs as the criterion. The regression analysis produced a model containing cubic volume in nautical miles, number of major airports, and sector strata as significant predictors. This model accounted for 43% of the variance in OEs (R=.65). No other static sector characteristics were significant predictors of OE incidence in this sample. The correlation between cubic volume in nautical miles and number of OEs indicated that, as sector size decreased, the number of OEs increased. However, the predictive utility of cubic volume in nm may be due to underlying dynamic traffic characteristics inherent in different-sized sectors rather than a direct relationship between sector size and incidence of OEs. The regression analysis suggests that static sector characteristics can account for some of the variance in OE occurrence in ZID airspace and can increase our understanding of the factors that lead to an OE.

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  • "This study was conducted to determine if static sector characteristics are related to the occurrence of operational errors (OEs) at the Indianapolis Air Route Traffic Control Center (ZID). The authors sought to determine whether factors that predicted OEs at the Atlanta Air Route Traffic Control Center (ZTL) in a study conducted by Rodgers et al. (1998) would also predict OE occurrence at other facilities. The data consisted of a 3-year sample of OEs that had occurred in ZID airspace. Sectors were treated as the unit of analysis (n=40). The static characteristics included the following: number of major airports, cubic volume in nautical miles (nm), sector strata, number of shelves, number of VORTACs, number of satellite airports, and number of intersections. Pearson correlations revealed that only sector size (r = -.31, p = .049) and sector altitude strata (r = .31, p = .049) were significantly correlated with the number of OEs. The static sector characteristics were entered into a regression procedure as predictors with the number of OEs as the criterion. The regression analysis produced a model containing cubic volume in nautical miles, number of major airports, and sector strata as significant predictors. This model accounted for 43% of the variance in OEs (R=.65). No other static sector characteristics were significant predictors of OE incidence in this sample. The correlation between cubic volume in nautical miles and number of OEs indicated that, as sector size decreased, the number of OEs increased. However, the predictive utility of cubic volume in nm may be due to underlying dynamic traffic characteristics inherent in different-sized sectors rather than a direct relationship between sector size and incidence of OEs. The regression analysis suggests that static sector characteristics can account for some of the variance in OE occurrence in ZID airspace and can increase our understanding of the factors that lead to an OE."@en
  • "The purpose of this study was to determine whether factors that predicted operational errors (OE) at the Atlanta Air Route Traffic Control Center (ZTL) in a study conducted by Rodgers et al. (1998) would also predict OE occurrence at other facilities. Failure to reduce en route operational errors (OEs) in recent years has resulted in FAA efforts to develop programs aimed at OE reduction. Several studies identified airspace complexity as a major contributor to en route OEs. In FY04, the office of AT Investigations initiated a project to examine the relationship between en route sector characteristics and the occurrence of OEs. The expectation was that the same variables identified in the Rodgers et al. (1998) study would also predict OE occurrence in this study, which describes preliminary analyses conducted using sector characteristics and operational error data from the Indianapolis Center (ZID)."@en

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  • "Static Sector Characteristics and Operational Errors"@en
  • "Static sector characteristics and operational errors final report"@en
  • "Static sector characteristics and operational errors"@en