Static Sector Characteristics and Operational Errors

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA460882

Entities

People

  • Carol Manning
  • Elaine Pfleiderer
  • Scott Goldman

Organizations

  • Federal Aviation Administration

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aerospace Medicine
  • Air Traffic
  • Aircrafts
  • Altitude
  • Aviation Safety
  • Data Science
  • Errors
  • Flight
  • High Altitude
  • Host Computers
  • Information Exchange
  • Information Science
  • Low Altitude
  • Regression Analysis
  • Resource Management
  • Training
  • Voice Communications

Readers

  • Atmospheric Science/Meteorology
  • Information Retrieval
  • Regression Analysis.

Technology Areas

  • Space