The Role of Route-Level Decisions in the Efficiency and Resilience of Airline Operations: Evidence from the Wright Amendment Repeal

Published Online:https://doi.org/10.1287/msom.2023.0070

References

  • Ahmadbeygi S, Cohn A, Lapp M (2010) Decreasing airline delay propagation by re-allocating scheduled slack. IIE Trans. 42(7):478–489.CrossrefGoogle Scholar
  • Alan Y, Lapré M (2018) Investigating operational predictors of future financial distress in the US airline industry. Production Oper. Management 27(4):734–755.CrossrefGoogle Scholar
  • Arıkan M, Deshpande V, Sohoni M (2013) Building reliable air-travel infrastructure using empirical data and stochastic models of airline networks. Oper. Res. 61(1):45–64.LinkGoogle Scholar
  • Barnhart C, Fearing D, Vaze V (2014) Modeling passenger travel and delays in the national air transportation system. Oper. Res. 62(3):580–601.LinkGoogle Scholar
  • Baumgarten P, Malina R, Lange A (2014) The impact of hubbing concentration on flight delays within airline networks: An empirical analysis of the US domestic market. Transportation Res. Part E Logist. Transportation Rev. 66:103–114.CrossrefGoogle Scholar
  • Belobaba P, Odoni A, Barnhart C (2015) The Global Airline Industry (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • Boguslaski C, Ito H, Lee D (2004) Entry patterns in the Southwest Airlines route system. Rev. Indust. Organ. 25(3):317–350.CrossrefGoogle Scholar
  • Brueckner J, Czerny A, Gaggero A (2021) Airline mitigation of propagated delays via schedule buffers: Theory and empirics. Transportation Res. Part E Logist. Transportation Rev. 150:102333.CrossrefGoogle Scholar
  • Buell R, Kim T, Tsay C (2017) Creating reciprocal value through operational transparency. Management Sci. 63(6):1673–1695.LinkGoogle Scholar
  • Buell R, Porter E, Norton M (2021) Surfacing the submerged state: Operational transparency increases trust in and engagement with government. Manufacturing Service Oper. Management 23(4):781–802.LinkGoogle Scholar
  • Chen D, Gao H, Ma Y (2021) Human capital-driven acquisition: Evidence from the inevitable disclosure doctrine. Management Sci. 67(8):4643–4664.LinkGoogle Scholar
  • Deshpande V, Arıkan M (2012) The impact of airline flight schedules on flight delays. Manufacturing Service Oper. Management 14(3):423–440.LinkGoogle Scholar
  • Dong L, Li R, Zhang J, Di Z (2016) Population-weighted efficiency in transportation networks. Sci. Rep. 6:26377.CrossrefGoogle Scholar
  • FAA (2020) Economic values for FAA investment and regulatory decisions. Technical report, https://www.faa.gov/sites/faa.gov/files/regulations_policies/policy_guidance/benefit_cost/econ-value-section-1-tx-time.pdf.Google Scholar
  • FAA (2022) The economic impact of U.S. civil aviation: 2020. Technical report, https://www.faa.gov/sites/faa.gov/files/2022-08/2022-APL-038\%202022_economic\%20impact_report.pdf.Google Scholar
  • Ferguson J, Kara A, Hoffman K, Sherry L (2013) Estimating domestic US airline cost of delay based on European model. Transportation Res. Part C Emerging Tech. 33:311–323.CrossrefGoogle Scholar
  • Forbes S, Lederman M, Yuan Z (2019) Do airlines pad their schedules? Rev. Indust. Organ. 54(1):61–82.CrossrefGoogle Scholar
  • Guo X, Grushka-Cockayne Y, De Reyck B (2022) Forecasting airport transfer passenger flow using real-time data and machine learning. Manufacturing Service Oper. Management 24(6):3193–3214.LinkGoogle Scholar
  • Herring J, Lurkin V, Garrow L, Clarke J, Bierlaire M (2019) Airline customers’ connection time preferences in domestic US markets. J. Air Transport Management 79:101688.CrossrefGoogle Scholar
  • Johnson MS, Levine DI, Toffel MW (2023) Improving regulatory effectiveness through better targeting: Evidence from OSHA. Amer. Econom. J. Appl. Econom. 15(4):30–67.CrossrefGoogle Scholar
  • Kafle N, Zou B (2016) Modeling flight delay propagation: A new analytical-econometric approach. Transportation Res. Part B Methodological 93:520–542.CrossrefGoogle Scholar
  • Kanaroglou P, Higgins C, Chowdhury T (2015) Excess commuting: A critical review and comparative analysis of concepts, indices, and policy implications. J. Transport Geography 44:13–23.CrossrefGoogle Scholar
  • Latora V, Marchiori M (2001) Efficient behavior of small-world networks. Phys. Rev. Lett. 87(19):198701-1–198701-4.CrossrefGoogle Scholar
  • Liu Y, Hansen, M (2019) An econometric model of flight en route inefficiency. Proc. Transportation Res. Board 98th Annual Meeting (Paper No. 19-03226) (Transportation Research Board, National Academies of Sciences, Washington, DC).Google Scholar
  • Louf R, Jensen P, Barthelemy M (2013) Emergence of hierarchy in cost-driven growth of spatial networks. Proc. Natl. Acad. Sci. USA 110(22):8824–8829.CrossrefGoogle Scholar
  • Marla L, Vaaben B, Barnhart C (2017) Integrated disruption management and flight planning to trade off delays and fuel burn. Transportation Sci. 51(1):88–111.LinkGoogle Scholar
  • Nicolae M, Arıkan M, Deshpande V, Ferguson M (2017) Do bags fly free? An empirical analysis of the operational implications of airline baggage fees. Management Sci. 63(10):3187–3206.LinkGoogle Scholar
  • Phillips G, Sertsios G (2013) How do firm financial conditions affect product quality and pricing? Management Sci. 59(8):1764–1782.LinkGoogle Scholar
  • Prince J, Simon D (2009) Multimarket contact and service quality: Evidence from on-time performance in the US airline industry. Acad. Management J. 52(2):336–354.CrossrefGoogle Scholar
  • Ramdas K, Williams J, Lipson M (2013) Can financial markets inform operational improvement efforts? Evidence from the airline industry. Manufacturing Service Oper. Management 15(3):405–422.LinkGoogle Scholar
  • Sheffi Y (2007) The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage (Zone Books, Cambridge, MA).Google Scholar
  • Silver N (2015) A better way to find the best flights and avoid the worst airports. Accessed June 3, 2024, https://fivethirtyeight.com/features/fastest-airlines-fastest-airports/.Google Scholar
  • Simchi-Levi D, Chen X, Bramel J (2005) The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management (Springer, Berlin).Google Scholar
  • Stalnaker T, Alport G, Buchanan A, Taylor A (2019) Airline Economic Analysis 2018-2019 (Oliver Wyman, New York).Google Scholar
  • Wang G, Zheng R, Dai T (2022) Does transportation mean transplantation? Impact of new airline routes on sharing of cadaveric kidneys. Management Sci. 68(5):3660–3679.LinkGoogle Scholar
  • Wu C, Caves R (2000) Aircraft operational costs and turnaround efficiency at airports. J. Air Transport Management 6(4):201–208.CrossrefGoogle Scholar
  • Yimga J, Gorjidooz J (2019) Airline schedule padding and consumer choice behavior. J. Air Transport Management 78:71–79.CrossrefGoogle Scholar
  • Zou B, Hansen M (2014) Flight delay impact on airfare and flight frequency: A comprehensive assessment. Transportation Res. Part E Logist. Transportation Rev. 69:54–74.CrossrefGoogle Scholar
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