The runway capacity constraint and airlines’ behavior: Choice of aircraft size and network design

Takebayashi, Mikio

doi:10.1016/j.tre.2010.11.010

Cited by 23 publications

(11 citation statements)

References 9 publications

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“…This study furthermore estimated the policy impact of the entry of new LCCs on flights from three ASEAN hub airports to Manila airport by means of a bi-level air transport market model built by Takebayashi (2011Takebayashi ( , 2012Takebayashi ( , 2013. It shows several significant results.…”

Section: Resultsmentioning

confidence: 99%

“…We apply the bi-level air transport market model (Takebayashi, 2011(Takebayashi, , 2012(Takebayashi, , 2013. In this section, we briefly mention the formulation of passenger behavior and carrier behavior.…”

Section: Model Formulationmentioning

confidence: 99%

“…For passengers' route choice behavior, we adopt the Stochastic User Equilibrium (SUE) with capacity constraint model (Bell, 1995;Zhou et al, 2005;Takebayashi, 2011Takebayashi, , 2012Takebayashi, , 2013. We can formulate the SUE with capacity constraint as follows:…”

Section: Passengers' Behaviormentioning

confidence: 99%

“…In Section 3, we present the model formulation and the results of the case study for routes among SIN, BKK, KUL and MNL. We apply the bi-level air transport market model to deal with airlines' as well as passengers' behavior (Takebayashi, 2011(Takebayashi, , 2012(Takebayashi, , 2013. This allows us to estimate the policy impact by route and by carrier; therefore, it is possible to discuss details of the specific market analysis results at the network level.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Low-cost carriers versus full service carriers in ASEAN: The impact of liberalization policy on competition

Hanaoka¹,

Takebayashi²,

Ishikura³

et al. 2014

Journal of Air Transport Management

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Section: Resultsmentioning

confidence: 99%

Section: Model Formulationmentioning

confidence: 99%

Section: Passengers' Behaviormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Low-cost carriers versus full service carriers in ASEAN: The impact of liberalization policy on competition

Hanaoka¹,

Takebayashi²,

Ishikura³

et al. 2014

Journal of Air Transport Management

Self Cite

View full text Add to dashboard Cite

“…In order to describe the market structure considering demand-supply interaction, we apply a bi-level air transport market model (Takebayashi, 2011(Takebayashi, , 2012a(Takebayashi, , 2012b(Takebayashi, , 2013). In the model, carriers play as leader and passengers play as follower, Carriers' behavior is considered in the upper level and the passengers' behavior is considered in the lower level.…”

Section: The Modelmentioning

confidence: 99%

Multiple hub network and high-speed railway: Connectivity, gateway, and airport leakage

Takebayashi

2015

Transportation Research Part A: Policy and Practice

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A decomposition approach to determining fleet size and structure with network flow effects and demand uncertainty

Wang

Zhu

2016

J of Advced Transportation

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Summary This paper presents a new methodology to determine fleet size and structure for those airlines operating on hub‐and‐spoke networks. The methodology highlights the impact of stochastic traffic network flow effects on fleet planning process and is employed to construct an enhanced revenue model by incorporating the expected revenue optimization model into fleet planning process. The objective of the model is to find a feasible allocation of aircraft fleet types to route legs using minimum fleet purchasing cost, thus ensuring that the expected fleet profit is maximized subject to several critical resource constraints. By using a linear approximation to the total network revenue function, the fleet planning model with enhanced revenue modeling is decomposed into the nonlinear aspects of expected revenue optimization and the linear aspects of determining fleet size and structure by optimal allocation of aircraft fleet types to route legs. To illustrate this methodology and its economic benefits, an example consisting of 6 chosen aircraft fleet types, 12 route legs, and 57 path‐specific origin‐destination markets is presented and compared with the results found using revenue prorated fleet planning formulation. The results show that the fleet size and structure of the methodology proposed in this paper gain 211.4% improvement in fleet profit over the use of the revenue prorated fleet planning approach. In addition, comparison with the deterministic model reveals that the fleet size and structure of this proposed methodology are more adaptable to the fluctuations of passenger demands. Copyright © 2016 John Wiley & Sons, Ltd.

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The runway capacity constraint and airlines’ behavior: Choice of aircraft size and network design

Cited by 23 publications

References 9 publications

Low-cost carriers versus full service carriers in ASEAN: The impact of liberalization policy on competition

Low-cost carriers versus full service carriers in ASEAN: The impact of liberalization policy on competition

Multiple hub network and high-speed railway: Connectivity, gateway, and airport leakage

A decomposition approach to determining fleet size and structure with network flow effects and demand uncertainty

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