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Airline flight networks, cycle times, and profitability: 2004–2006

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Abstract

This research investigates the relationships between airline flight networks, aircraft cycle times, and carrier profitability for ten large US domestic airlines. We find that direct point-to-point flight networks and short cycle times are operational factors that airlines should exploit to improve profitability. These findings are based on the analysis of 11.9 million flight records from 2004 through 2006. The results contradict earlier research validating performance advantages of hub-and-spoke flight networks. Today, the advantages of passenger consolidation at hub airports are lost to lower aircraft utilization and productivity problems created by the extended cycle times at hubs. We also find that airline operating profit can be increased by improving the efficiency of the aircraft turnaround process and decreasing aircraft fleet complexity. This research also provides an estimate of the marginal opportunity cost of ground time. A 1-min reduction in aircraft fleet ground time increases the average sized carriers’ operating income by $12 to $18 million.

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References

  • Adler N (2001) Competition in a deregulated air transportation market. Eur J Oper Res 129:337–345

    Article  Google Scholar 

  • Adler N, Smilowitz K (2007) Hub-and-spoke network alliances and mergers: price-location competition in the airline industry. Transp Res Part B: Methodol 41:394–409

    Article  Google Scholar 

  • Alderighi M, Cento A, Nijkamp P, Rietveld P (2005) Network competition—the coexistence of hub-and-spoke and point-to-point systems. J Air Transp Manag 11:328–334

    Article  Google Scholar 

  • Bania N, Bauer P, Zlatoper T (1998) U.S. air passenger service: a taxonomy of route networks, hub locations, and competition. Transp Res Part E: Logist Trans Rev 34:53–74

    Article  Google Scholar 

  • Barla P, Constantatos C (2000) Airline network structure under demand uncertainty. Transp Res Part E: Logist Transp Rev 36:173–180

    Article  Google Scholar 

  • Barnhart C, Cohn A (2004) Airline schedule planning: accomplishments and opportunities. Manuf Serv Oper Manag 6:3–22

    Article  Google Scholar 

  • Brueckner JK, Zhang Y (2001) A model of scheduling in airline networks: how a hub-and-spoke system affects flight frequency, fares and welfare. J Transp Econ Policy 35:195–222

    Google Scholar 

  • Button K (2002) Debunking some common myths about airport hubs. J Air Transp Manag 8:177–188

    Article  Google Scholar 

  • Chenoweth T, Corral K, Demirkan H (2006) Seven key interventions for data warehouse success. Commun ACM 49(1):114–119

    Article  Google Scholar 

  • Dobson G, Lederer PJ (1993) Airline scheduling and routing in a hub-and-spoke system. Transp Sci 27:281–297

    Article  Google Scholar 

  • Gillen D, Adib-Kanafani KK (2005) The evolution of networks with changes in industry structure and strategy: connectivity, hub-and-spoke and alliances. Res Transp Econ 13:49–73

    Article  Google Scholar 

  • Gittell JH (2001) Supervisory span, relational coordination, and flight departure performance: a reassessment of postbureaucracy theory. Organ Sci 12:468–483

    Article  Google Scholar 

  • Gudmundsson SV (1999) Airline failure and distress prediction: a comparison of quantitative and qualitative models. Transp Res Part E: Logist Trans Rev 35:155–182

    Article  Google Scholar 

  • Gudmundsson SV (2004) Management emphasis and performance in the airline industry: an exploratory multilevel analysis. Transp Res: Part E 40:443–463

    Article  Google Scholar 

  • Hansen M, Gillen D, Djafarian-Tehrani R (2001) Aviation infrastructure performance and airline cost: a statistical cost estimation approach. Transp Res Part E: Logist Trans Rev 37:1–23

    Article  Google Scholar 

  • Hult GT, Ferrell OC, Hurley R (2002) Global organizational learning effects on cycle time performance. J Bus Res 55:377–387

    Article  Google Scholar 

  • Kelly ME, Bryan DL (1998) Hub location with flow economies of scale. Transp Res Part B: Methodol 32:605–616

    Article  Google Scholar 

  • Lee D (2003) Concentration and price trends in the US domestic airline industry: 1990–2000. J Air Transp Manag 9:91–101

    Article  Google Scholar 

  • Nero G (1999) A note on the competitive advantage of large hub-and-spoke networks. Transp Res Part E: Logist Trans Rev 35:225–239

    Article  Google Scholar 

  • Rietveld P, Brons M (2001) Quality of hub-and-spoke networks; the effects of timetable co-ordination on waiting time and rescheduling time. J Air Transp Manag 7:241–249

    Article  Google Scholar 

  • Rosenberger JM, Schaefer AJ, Goldsman D, Johnson EL, Kleywegt AJ, Nemhauser G (2002) A stochastic model of airline operations. Transp Sci 36:357–377

    Article  Google Scholar 

  • Sasaki M, Suzuki A, Drezner Z (1999) On the selection of hub airports for an airline hub-and-spoke system. Comput Oper Res 26:1411–1422

    Article  Google Scholar 

  • Savage I, Scott B (2004) Deploying regional jets to add new spokes to a hub. J Air Transp Manag 10:147–150

    Article  Google Scholar 

  • Toh RS, Higgins RG (1985) The impact of hub and spoke network centralization and route monopoly on domestic airline profitability. Transp J 24(4):16–27

    Google Scholar 

  • VanLandeghem H, Beuselinck A (2002) Reducing passenger boarding time in airplanes: a simulation based approach. Eur J Oper Res 142:294–308

    Article  Google Scholar 

  • Vowles TM (2001) The “Southwest Effect”; in multi-airport regions. J Air Transp Manag 7:251–258

    Article  Google Scholar 

  • Wojahn OW (2001) Airline network structure and the gravity model. Transp Res Part E: Logist Trans Rev 37:267–279

    Article  Google Scholar 

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Correspondence to David West.

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West, D., Bradley, J. Airline flight networks, cycle times, and profitability: 2004–2006. Oper Manag Res 1, 129–140 (2008). https://doi.org/10.1007/s12063-009-0014-6

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  • DOI: https://doi.org/10.1007/s12063-009-0014-6

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