Evaluation of airport conditions to attract foreign low cost carriers: A case study of Taiwan

Lu, Hua-An; Mao, Yun-Ru

doi:10.1016/j.jairtraman.2014.12.003

Cited by 10 publications

(9 citation statements)

References 20 publications

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“…Though, as seen by Fageda et al (2015), large companies are making alliances, such as Delta acquiring GOL shares (2011), or creating low-cost subsidiaries such as Lufthansa on creation of Germanwings in 2012. Indeed, some aspects aid in the implementation of low-cost routes, as seen by Lu and Mao (2015) in the analysis of these factors in Taiwan, as the price government, the operational supporting efficiency and the airport authority with the policies. As indicated by Zhang et al (2014) the high prices in the hubs pressure the fee of airline tickets and end up impacting the profitability of large companies.…”

Section: Air Network Centralitiesmentioning

confidence: 99%

Brazilian Airports Network Evaluation

Pereira¹,

Mello²

2020

BJO&PM

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Goal: This paper presents an analysis of the Brazilian air network based on the measure of h centrality. Design / Methodology / Approach: The purpose of this study is to define and determine the central network using the concepts of h-centrality. Method adapted from graph theory concepts with bibliometrics, especially the h-index. From the center of this index will be listed the most used airports to define the Brazilian central network and thus determinate the type h-index of Brazil. Results: The main airports in the results represent more than 50% of the homologated flights in Brazil. Limitations of the investigation:The centrality measure presents the situation at the moment when the data were analyzed. In the original h-index this notion reflects a history of the articles published by each author, but in the case of airports the market dynamics changes the behavior of the network. Practical implications: This model of air flight frequencies assists in public policy guidelines and planning both in air traffic control and in the verification of system impacts. Originality / Value: The method seeks to provide the list with main important airports without any prior definition by a decision maker.

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Section: Air Network Centralitiesmentioning

confidence: 99%

Brazilian Airports Network Evaluation

Pereira¹,

Mello²

2020

BJO&PM

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“…Demand was almost always recognised as crucial in establishing a new route. Adler and Berechman (2001), Boguslaski et al (2004), Lawton and Solomko (2005), Muller et al (2011), Lu and Mao (2014) and Dziedzic and Warnock-Smith (2016) uniformly found demand to be important. Intuitively, no demand equals no supply under free market conditions.…”

Section: Introductionmentioning

confidence: 95%

“…Cheng et al, 2008), or markets at a city or regional level (e.g. Lu & Mao, 2014). The geo-graphical scope is thus variable, and even though many similarities were found between different markets, each of them has its own spe-cifics.…”

Section: Introductionmentioning

confidence: 99%

Determinants of air traffic volumes and structure at small European airports

Dziedzic

Njoya

Warnock-Smith

et al. 2020

Research in Transportation Economics

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This study investigates the determinants of air traffic volumes and structure (carrier type) at lesser studied small European airports serving below one million passengers per annum. It discusses airport choice factors for airline customers and focuses on the characteristics of small airports and their catchment areas in order to explain variation in 2016 traffic volumes for 146 regional gateways in 21 EU countries. Through the application of multiple linear regression and correlation it is found that population size, airport charges and the need for capacity coordination are the most related to the number of passengers using these airports. Several different correlations are found with respect to the share of low-cost, full-service and charter carriers as a proportion of total airport traffic, which in most cases extends the findings of the limited number of other studies in the field of small regional airports. The research concludes that while certain relationships can be found, their statistical significance is moderate, leaving scope for a deeper study into a smaller samples of airports. subsidised air services, hoping that the resulting inbound traffic would propel the local economy and tourism (Bel, 2009; Francis, Fidato, & Humphreys, 2003). The general framework of airport-airline relationships and airport route network development strategies have been explored by Graham (2014, 2013). Others have investigated causalities between airline traffic and more specific variables, such as catchment area expansion (

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“…It may increase the difficulty to achieve the consistency. A RPC approach [9,10] is developed to overcome these shortcomings as this approach can ensure the total consistency for each pair-comparison matrix. A RPC asks the participants to judge the priority of involved elements first, then to evaluate the relative weights between consecutive elements.…”

Section: Rank Pair-wise Comparison (Rpc)mentioning

confidence: 99%

“…Then, it will lead to a tedious research duration. For ensuring the consistency and lessening inconvenience to respondents, this study designed a questionnaire of RPC [9,10] to assess the transitivity of preference for consecutive elements.…”

Section: Questionnaire Designmentioning

confidence: 99%

A Delphi-AHP Model of Consultants Evaluation for Airline Operation Systems

LU¹,

SUNG²

2017

Int. j. appl. phys. sci.

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Evaluation of airport conditions to attract foreign low cost carriers: A case study of Taiwan

Cited by 10 publications

References 20 publications

Brazilian Airports Network Evaluation

Brazilian Airports Network Evaluation

Determinants of air traffic volumes and structure at small European airports

A Delphi-AHP Model of Consultants Evaluation for Airline Operation Systems

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