Relationship of Air Traffic Control Specialist Age to En Route Operational Errors

Abstract : Public Law 92-297, passed in 1971, requires that air traffic control specialists (ATCSs) hired after May 16, 1972 retire at age 56. The underlying rationale was that as controllers aged, the cumulative effects of stress, fatigue (from shift work), and age-related cognitive changes created a safety risk (U.S. House of Representatives, 1971). This hypothesis has been considered in two recent studies of en route operational errors (OEs). The Center for Naval Analyses (CNA, 1995) found no relationship between controller age and OEs. Broach (1999) reported that the probability of involvement in an OE increased with age. The purpose of this study was to re-examine the hypothesis that controller age, controlling for experience, was related to OEs. En route OE records (3,054) were matched with nonsupervisory ATCS staffing records for the period FY1997-2003. Poisson regression was used to model OE count as a function of the explanatory variables age and experience using the SPSS (trademark) version 11.5 General Loglinear (GENLOG) procedure. Overall, the Poisson regression model fit the data poorly (Likelihood Ratio 2 = 283.81, p < .001). The Generalized Log Odds Ratio was used to estimate the odds ratio for age. The odds of OE involvement for older controllers (GE age 56) were 1.02 times greater than the odds for younger (LE age 55) controllers, with a 95% confidence interval of 0.42 to 1.64. This range of odds indicated that neither age group was less or more likely than the other to be involved in an OE, controlling for experience. The analysis does not support the hypothesis that older controllers are at greater risk of involvement in an OE. These results suggest that the original rationale for the mandatory retirement of controllers may need to be re-examined. Additional research on age and ATCS performance is recommended.

[1]  R. H. Myers Generalized Linear Models: With Applications in Engineering and the Sciences , 2001 .

[2]  D. Rousseau,et al.  Analyzing Infrequent Events: Once You Find Them Your Troubles Begin. , 1980 .

[3]  Carol A. Manning,et al.  POWER: OBJECTIVE ACTIVITY AND TASKLOAD ASSESSMENT IN EN ROUTE AIR TRAFFIC CONTROL , 2002 .

[4]  George W Rebok,et al.  Age, flight experience, and risk of crash involvement in a cohort of professional pilots. , 2003, American journal of epidemiology.

[5]  Mark D. Rodgers,et al.  THE RELATIONSHIP OF SECTOR CHARACTERISTICS TO OPERATIONAL ERRORS. , 1997 .

[6]  G Li,et al.  Pilot-related factors in aircraft crashes: a review of epidemiologic studies. , 1994, Aviation, space, and environmental medicine.

[7]  Pamela S Della Rocco,et al.  Air Traffic Control Specialist Decision Making and Strategic Planning – A Field Survey , 2001 .

[8]  Mica R. Endsley,et al.  Distribution of Attention, Situation Awareness and Workload in a Passive Air Traffic Control Task: Implications for Operational Errors and Automation , 1998 .

[9]  S. Puechmorel,et al.  Air Traffic Complexity: Towards an Intrinsic Metric , 2000 .

[10]  D Broach METHODOLOGICAL ISSUES IN THE STUDY OF AIRPLANE ACCIDENT RATES BY PILOT AGE: EFFECTS OF ACCIDENT AND PILOT INCLUSION CRITERIA AND ANALYTIC STRATEGY , 2004 .

[11]  V. Leirer,et al.  When expertise reduces age differences in performance. , 1994, Psychology and aging.

[12]  Julia Pounds,et al.  FAA STRATEGIES FOR REDUCING OPERATIONAL ERROR CAUSAL FACTORS , 2003 .

[13]  Elaine M. Pfleiderer DEVELOPMENT OF AN EMPIRICALLY-BASED INDEX OF AIRCRAFT MIX , 2003 .

[14]  Anne Isaac,et al.  Development of an FAA-EUROCONTROL technique for the analysis of human error in ATM : final report. , 2002 .

[15]  J. T. Wulu,et al.  Regression analysis of count data , 2002 .

[16]  S. Puechmorel,et al.  AIR TRAFFIC COMPLEXITY : TOWARDS INTRINSIC METRICS , 2000 .