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An application of survival and frailty analysis to the study of taxi-out time: A case of New York Kennedy Airport

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  • Diana, Tony

Abstract

This study uses survival models to evaluate how selected operational factors affect the duration of aircraft taxi-out times at John F. Kennedy Airport, New York. Frailty models help assess whether fixed or random effects are likely to explain differences between two summers, 2006 and 2007. The hourly departure records for summer are censored when operations occurred below the airport's ceiling and visibility minima, that is, in instrument meteorological conditions. Cox regression models showed that block delay and the percent of airport utilized capacity are most likely to increase the risk of longer taxi-out times in instrument meteorological conditions compared with other factors such as departure delays, arrival delays and the volume of departures. Frailty analysis reveals that taxi-out times are not significantly affected by either fixed or random effects.

Suggested Citation

  • Diana, Tony, 2013. "An application of survival and frailty analysis to the study of taxi-out time: A case of New York Kennedy Airport," Journal of Air Transport Management, Elsevier, vol. 26(C), pages 40-43.
    • Handle: RePEc:eee:jaitra:v:26:y:2013:i:c:p:40-43
    DOI: 10.1016/j.jairtraman.2012.10.002
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    References listed on IDEAS

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    1. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
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    1. Diana, Tony, 2018. "Can machines learn how to forecast taxi-out time? A comparison of predictive models applied to the case of Seattle/Tacoma International Airport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 149-164.
    2. Lordan, Oriol & Sallan, Jose M. & Valenzuela-Arroyo, Marta, 2016. "Forecasting of taxi times: The case of Barcelona-El Prat airport," Journal of Air Transport Management, Elsevier, vol. 56(PB), pages 118-122.

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