Hello major airports, goodbye regional airports? Recent changes in European and US low-cost airline airport choice

Dobruszkes, Frédéric; Givoni, Moshe; Vowles, Timothy M.

doi:10.1016/j.jairtraman.2016.11.005

Cited by 99 publications

(39 citation statements)

References 36 publications

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“…First of all, Spring's spatial coverage is lower than that of the four reference LCCs. However, the gap is smaller in relation to the volumes supplied (Table 5), except for the number of routes served by Ryanair, which is well known for operating a myriad of low-frequency niche routes 10 , even though the airline has recently focused more on the main airports of large cities (Dobruszkes et al, 2017). Actually, Spring has developed a spatial coverage that is close to the second-largest US LCC, JetBlue.…”

Section: Spatial Coverage and Network Characteristicsmentioning

confidence: 99%

Developing a low-cost airline in a semi-protected regime: Comparing China to Europe and the US

Dobruszkes

Wang

2019

Journal of Transport Geography

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The US and Europe have long experienced the expansion of low-cost carriers (LCCs) in the aftermath of extensive aviation liberalisation offering free access to the market for US and European airlines, respectively. More recently, following the opening of the progressive aviation market, China has also emerged as a country that welcomed LCCs to some extent, but has not subscribed to full liberalisation. In this context, our paper compares China's largest LCC, Spring Airlines, to the largest European (Ryanair and EasyJet) and US (Southwest and JetBlue) low-cost airlines. Comparisons in this context include volumes supplied, spatial coverage, network geography and financial results. This comparative study found that Spring Airlines is still a small/emerging LCC compared to the European and US giants and in terms of China's potential market. This is notably due to the lack of whole free access to the market and trunk routes that are still protected to some extent in favour of the Big Three in China. However, Spring uses its production means in an efficient way and generates good financial results, especially compared to those of China's Big Three airlines. Finally, Spring appears to be a composite case rather than a duplicate of a reference LCC.

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Section: Spatial Coverage and Network Characteristicsmentioning

confidence: 99%

Developing a low-cost airline in a semi-protected regime: Comparing China to Europe and the US

Dobruszkes

Wang

2019

Journal of Transport Geography

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“…A previous literature review about airspace/airside integration illustrated that several prior studies have dealt with the importance of connectivity at airports [20][21][22][23][24]. The air transport network is a "time-varying network", where the links between nodes (i.e., airports) are represented by flights on a timetable [6].…”

Section: Background and Contributionmentioning

confidence: 99%

Uncertainty Management at the Airport Transit View

et al. 2018

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Air traffic networks, where airports are the nodes that interconnect the entire system, have a time-varying and stochastic nature. An incident in the airport environment may easily propagate through the network and generate system-level effects. This paper analyses the aircraft flow through the Airport Transit View framework, focusing on the airspace/airside integrated operations. In this analysis, we use a dynamic spatial boundary associated with the Extended Terminal Manoeuvring Area concept. Aircraft operations are characterised by different temporal milestones, which arise from the combination of a Business Process Model for the aircraft flow and the Airport Collaborative Decision-Making methodology. Relationships between factors influencing aircraft processes are evaluated to create a probabilistic graphical model, using a Bayesian network approach. This model manages uncertainty and increases predictability, hence improving the system's robustness. The methodology is validated through a case study at the Adolfo Suárez Madrid-Barajas Airport, through the collection of nearly 34,000 turnaround operations. We present several lessons learned regarding delay propagation, time saturation, uncertainty precursors and system recovery. The contribution of the paper is two-fold: it presents a novel methodological approach for tackling uncertainty when linking inbound and outbound flights and it also provides insight on the interdependencies among factors driving performance. Aerospace 2018, 5, 59 2 of 31The Airport Transit View (ATV) concept describes the "visit" of an aircraft to the airport [9]. This framework connects inbound and outbound flights, providing a tool to optimise airport operations and to enable more efficient and cost-effective deployment of operator resources. It integrates airside operations (landing, taxiing, turnaround and take-off) and surrounding airspace operations (holding, final approach and initial climb) [3,10,11]. Moreover, the Airport Operations Plan (AOP) guarantees a common, agreed operational strategy between local stakeholders, providing knowledge about the current situation and detecting deviations [9]. It aims to achieve early decision-making and efficient management of the aircraft processes. In this sense, the Airport Collaborative Decision-Making (A-CDM) concept ensures that common situation awareness is reached between stakeholders [9]. Moreover, the implementation of the 4D-trajectory operational concept in future Air Traffic Management (ATM) systems will impose the compliance of very accurate arrival times over designated points on aircraft, including Controlled Times of Arrival (CTAs) at airports [12][13][14].Uncertainty of operational conditions (e.g., runway configuration, aircraft performance, air traffic regulations, airline business models, ground services, meteorological conditions) makes airspace/airside integrated operations a stochastic phenomenon [15][16][17][18][19]. It is therefore necessary to define methodological frameworks to improve predictability and reliabi...

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“…Another important characteristic of LCCs is the concentration of services at secondary/regional airports (Dobruszkes, Givoni, Vowles, 2017) with direct flights, bypassing major hubs. Through this strategy, airlines reduce costs and optimize their operations, dealing with less congestion than in major hubs.…”

Section: Picbe | 579mentioning

confidence: 99%

“…At the same time, evidence suggests that, while most of the LCC use secondary airports, some of them started to focus on conventional major airports and main tourist destinations (Dobruszkes, 2013;Dobruszkes, Givoni, Vowles, 2017). Moreover, according to Dobruszkes (2013) and Tchouamou, Niemeier (2011), several large and medium-sized airports increased investments in low cost terminals, in order to attract LCCs.…”

Section: Picbe | 579mentioning

confidence: 99%