The impact of hubbing concentration on flight delays within airline networks: An empirical analysis of the US domestic market |
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| Institution: | 1. Institute of Transport Economics, University of Muenster, Am Stadtgraben 9, 48143 Münster, Germany;2. Laboratory for Aviation and the Environment, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 33-322a, Cambridge, MA 02139, USA;3. TU Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany;1. Dept. of Industrial Engineering, Islamic Azad University – North Tehran Branch, Chaman-ara Ave., Babaie Highway, Tehran, Iran;2. Dept. of Industrial Engineering, K.N.Toosi University of Technology, Pardis St., Molla-Sadra Ave., Vanak Sq., P.O. Box: 19991-43344, Tehran, Iran;3. Carlo and Karin Giersch Endowed Chair “Business Management: Industrial Management”, Technische Universität Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany;1. TU Darmstadt, Germany;2. Centre for European Economic Research (ZEW), Mannheim, Germany;1. IAAEU, University Trier, Campus II, D-54286 Trier, Germany;2. IZA, Bonn and CESifo, München, Germany;3. Technical University of Darmstadt, Department of Law and Economics, Bleichstraße 2, D-64283 Darmstadt, Germany;1. Institute for Mechatronic Systems in Mechanical Engineering, Technische Universität Darmstadt, Otto-Berndt-Straße 2, 64287 Darmstadt, Germany;2. Carlo and Karin Giersch Endowed Chair “Business Management: Industrial Management” Department of Law and Economics, Technische Universität Darmstadt, Hochschulstr. 1, 64289 Darmstadt, Germany |
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| Abstract: | This paper explores the relationship between hubbing activities and flight delays in the United States from an airline-specific network perspective. Airline hubbing is measured with the Hubbing Concentration Index. We estimate the impact of hubbing behavior on delays, using three measures of delay, two based on delay against schedule, and the third based on buffer-corrected excess travel times. A significant (and positive) influence of hubbing concentration can only be found for the latter delay indicator. We conclude that airlines use buffer times to mitigate passenger-perceived delays against schedule that would, without buffers, arise from more complex network operations. |
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| Keywords: | Flight delays Airline hubbing Hubbing concentration Schedule padding |
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