Abstract

The purpose of this study is to ascertain whether implementation difficulty can be used in a slot allocation model as a new mechanism for slightly weakening grandfather rights; according to which, a linear integer programming model is designed to compare and analyze displacement, implementation difficulty and priority with different weights. Test results show that the implementation difficulty can be significantly reduced without causing excessive displacement and disruption of existing priorities, by weight setting while declared capacity is cleared. In addition to this, whether the movements are listed in order of descending priority or not have great impact on displacement and implementation difficulty within the slot allocation model. Capacity is surely a key factor affecting displacement and implementation difficulties. This study contributes to propose a new mechanism for slightly weakening grandfather right, which can help decision makers to upgrade slot allocation policies.

Highlights

  • Most of the busiest airports worldwide experience serious congestion and delay problems, such as Beijing Capital International Airport (PEK), Shanghai Pudong International Airport (PVG), and Guangzhou Baiyun International Airport (CAN) [1]

  • The primary performance criterion of the slot allocation problem [4,24,45] is the minimization of a delay-based cost function, which is expressed either in the form of typical operational delay or the “schedule delay” concept [46]

  • Employing a game-theoretic framework of airline frequency competition, Vaze and Barnhart [11] showed that small reductions in allocated airport capacity can reduce delays and improve airline profitability

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Summary

Introduction

Most of the busiest airports worldwide experience serious congestion and delay problems, such as Beijing Capital International Airport (PEK), Shanghai Pudong International Airport (PVG), and Guangzhou Baiyun International Airport (CAN) [1]. The existing imbalance between supply and demand for air transport services forces all aviation stakeholders to drastically rethink airport capacity and its utilization while readdressing the issue of experienced or anticipated capacity shortages [2]

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