De-hubbing of airports and their recovery patterns

Redondi, Renato; Malighetti, Paolo; Paleari, Stefano

doi:10.1016/j.jairtraman.2011.04.002

Cited by 57 publications

(35 citation statements)

References 5 publications

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“…When a few airlines have a large share of airport operations, the impacts of the airlines' decisions are more powerful than if a large number of airlines used the airport. A hub airline's decision to dehub from an airport, for example, has a long-lasting impact on the airport, leaving it with excess capacity and overbuilt infrastructure (7). Airline concentration is measured here by using the Herfindahl-Hirschman index, a frequently applied economic concept that measures the amount of competition among firms in an industry (25).…”

Section: Airline Strategymentioning

confidence: 99%

“…The static airport planning framework is increasingly seen as unfit for the volatile environment (3). Planning disasters in airport projects from this mismatch of static planning framework and volatile environment are well documented and range from delays and cost overruns of Denver International Airport (DEN) to heavily underused runways at Lambert-Saint Louis International Airport (STL) (4)(5)(6)(7). This study presents a classification technique that reflects volatilities in the economy and the airport industry and helps airport planners identify their peer groups and make more informed planning decisions.…”

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confidence: 99%

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Frameworks for Adaptive Airport Planning and Techniques for a New Era of Planning

Suh

Ryerson

2017

Transportation Research Record: Journal of the Transportation R

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Airport planners, in determining the long-term development of an airport's infrastructure, estimate future use of the airport by using two loose categories of methods: (a) peer group learning and (b) forecasting. In peer group learning, airport planners compare their airports with like airports and engage in peer-to-peer exchange of information about lessons learned from past experiences and technical and planning guidance. The blend of quantitative and qualitative methodologies can be a powerful tool for airport planners because the planners can validate their forecasts with the actual experiences at similar airports. In the current state of the aviation industry, airport planners must engage in peer group learning because the environment in which they are planning their airports is more volatile than it was previously; however, while forecasting has been well studied by scholars and airport planners, peer group learning has attracted relatively less attention. Given the role of peer group learning in airport planning, airport planners must pay careful attention to how they define their peers in ever-evolving economic and industrial environments. Since deregulation of the airline industry in the 1970s, the airport system has become much more nuanced and is no longer easily defined, while airport planners often resort to single metrics such as enplanements as a peer criterion. This study developed and tested a peer identification methodology that reflects volatilities in the economy and the airport industry by using an expanded list of both static and dynamic metrics. This methodology highlights an important lesson that metrics matter in the ways in which airports identify their peers, benchmark their performance, and help to improve their plans.Airports are large, complex transportation infrastructures that require long-term planning horizons. Planning decisions about airport development and expansion at both the local and federal levels affect local, regional, and national economies as well as the environment and citizens' quality of life. Airport planners, in determining the long-term development of an airport's infrastructure, estimate future use of the airport by using two loose categories of methods: forecasting and peer group learning. Aviation demand forecasting is a basis for airport master plans, documents required by FAA that guide the future development of airport infrastructures. In peer group learning, airport planners loosely equate their airports with like airports and engage in peer-to-peer exchange of information about lessons learned from past experiences and technical and planning guidance (1). This blend of quantitative and qualitative methodologies can be a powerful tool for airport planners. However, while forecasting has been well studied by scholars and airport planners, peer group learning has attracted relatively little attention. As airport planners consider peer group information to be a critical planning input, the choice of peer can greatly affect planning decisions. Establishing p...

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Section: Airline Strategymentioning

confidence: 99%

mentioning

confidence: 99%

Frameworks for Adaptive Airport Planning and Techniques for a New Era of Planning

Suh

Ryerson

2017

Transportation Research Record: Journal of the Transportation R

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“…Redondi et al (2012) studied over 50 de-hubbing cases worldwide and found that de-hubbed airports do not recover their original traffic volumes within a 5-year time period. Furthermore, airports that lose their hub status generally do not regain that status, at least not in the short to medium term.…”

Section: Consolidationmentioning

confidence: 99%

EU Air Transport Liberalisation Process, Impacts and Future Considerations

Burghouwt

Leon²,

Wit³

2015

International Transport Forum Discussion Papers

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“…In his line, Redondi et al (2011) identify several airports that were de-hubbed between 1997 and 2009 and did not recover their hub activity, which translates in higher levels of concentration. However, for a shorter period (2004)(2005)(2006)(2007)(2008) Bel and Fageda (2010) recognized, in a set of large European urban areas, a deconcentration of intercontinental flights due to hub-bypassing strategies of selected network airlines.…”

Section: Towards Concentration or Deconcentration?mentioning

confidence: 99%

Uneven patterns in airport seat capacity distribution: a review

Suau-Sánchez¹

2013

dag

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This paper reviews the literature on the uneven patterns of airport seat capacity. Seat capacity distribution studies are useful to show air travel possibilities and whether economic development is concentrated in some particular regions. During the last decades, seat capacity patterns have been reshaped by an increasing process of deregulation of the air traffic market and liberalization of the former flagship carriers. Overall, literature agrees that intra-continental seat capacity has tended to deconcentrate, meaning that seats are more equally spread along the airport population, while inter-continental seat capacity, the most valuable for the exchange of face-to-face information and global supply chains, has tended to concentrate in fewer airports. Hence, in quantitative terms inequality has decreased, although in qualitative terms it has increased. Keywords: air transport; seat capacity; unevenness; spatial patterns; deregulation; liberalization. Resum. Patrons desiguals en la distribució de places aèries: una revisióAquest article revisa la literatura sobre la distribució desigual de places aèries. Els estudis d'oferta de places són útils per mostrar les possibilitats de viatjar i si el desenvolupament econòmic està concentrat en determinades regions. Durant les últimes dècades, els patrons de distribució de places aèries han estat redefinits pels creixents processos de desregularització del mercat del tràfic aeri i la liberalització de les línies aèries de bandera. En conjunt, hi ha un acord a la literatura a considerar que l'oferta de places per a vols intracontinentals ha tendit a desconcentrar-se. És a dir, les places estan repartides de manera més equilibrada al llarg de la població d'aeroports. D'altra banda, l'oferta de places per a vols intercontinentals, els més valuosos per a l'intercanvi d'informació cara a cara i les cadenes de producció globals, ha tendit a concentrar-se en menys aeroports. Així doncs, des del punt de vista quantitatiu, la desigualtat ha disminuït, tot i que en termes qualitatius aquesta s'ha incrementat. Paraules clau: transport aeri; places aèries; desigualtat; distribució espacial; desregulació; liberalització. Resumen. Patrones desiguales en la distribución de plazas aéreas: una revisiónEste artículo revisa la literatura sobre la distribución desigual de plazas aéreas. Los estudios de oferta de plazas son útiles para mostrar las posibilidades de viajar y si el desarrollo Pere Suau-Sanchez Uneven patterns in airport seat capacity distribution: a review 168 Documents d'Anàlisi Geogràfica 2013, vol. 59/1 económico está concentrado en determinadas regiones. Durante las últimas décadas, los patrones de distribución de plazas aéreas han sido redefinidos por los crecientes procesos de desregularización del mercado del tráfico aéreo y la liberalización de las aerolíneas de bandera. En conjunto, hay un acuerdo en la literatura en considerar que la oferta de plazas para vuelos intracontinentales ha tendido a desconcentrarse. Es decir, las plazas están repartidas de forma má...

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De-hubbing of airports and their recovery patterns

Cited by 57 publications

References 5 publications

Frameworks for Adaptive Airport Planning and Techniques for a New Era of Planning

Frameworks for Adaptive Airport Planning and Techniques for a New Era of Planning

EU Air Transport Liberalisation Process, Impacts and Future Considerations

Uneven patterns in airport seat capacity distribution: a review

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