Optimization of Airport Capacity Efficiency by Selecting Optimal Aircraft and Airline Business Model

被引:6
|
作者
Stimac, Igor [1 ,2 ]
Vidovic, Andrija [2 ]
Mihetec, Tomislav [2 ]
Drljaca, Miroslav [3 ,4 ]
机构
[1] Zagreb Airport Ltd, Airport Operat & Maintenance Supervis Dept, Rudolfa Fizira 1, Velika Gorica 10410, Croatia
[2] Univ Zagreb, Dept Air Transport, Fac Transport & Traff Sci, Vukeliceva 4, Zagreb 10000, Croatia
[3] Zagreb Airport Ltd, Integrated Management Syst & Consulting Dept, Rudolfa Fizira 1, Velika Gorica 10410, Croatia
[4] Univ North, Dept Logist & Sustainable Mobil, Koprivnica 48000, Croatia
关键词
airports; airlines; capacities; efficiency; negotiations; business models; monitoring; Key Performance Indicator (KPI); strategy; optimization;
D O I
10.3390/su12103988
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper analyses the impact of airline business models on airport infrastructure and operational capacity and answers the question how to optimize capacity in order to achieve maximum efficiency and profitability as well as how to maintain an adequate level of service quality. As part of the research, a new model was created as an integral part of the Airport Management Strategy Software (AMSS) application. The purpose of the application is to enable the airport management to review and optimize operations in terms of maximum technical and technological capacity utilization. In addition, the application can be used to fill the available slots according to the specifics of the airline's business model without compromising the security, flexibility, and profitability of airport operations. The validation of the application was conducted at Zagreb Airport, which generated traffic of 3.4 million passengers in 2019. The result of the research is a model which, based on the calculation of the existing capacity of the airport infrastructure and ground handling equipment, enables the simulation of new airline business models and aircraft type implementation. Furthermore, the model also analyses their impact on the utilization of the airport infrastructure and equipment. The research demonstrated the interdependence between airport capacity optimization and optimal slot allocation, and the specifics of airline business models and aircraft types in their fleets. By adopting this model, airport managers can prevent mistakes that arise during negotiations with airlines, which can result in the under capacity of the infrastructure, equipment, and human resources as well as cause lower levels of security, numerous delays, reduced quality of service and, ultimately, negative financial effects.
引用
收藏
页数:18
相关论文
共 30 条
  • [21] Optimization model for selecting optimal prefabricated column design considering environmental impacts and costs using genetic algorithm
    Kumi, Louis
    Jeong, Jaewook
    JOURNAL OF CLEANER PRODUCTION, 2023, 417
  • [22] Joint Optimization Model of Road-use Pricing and Capacity Using the Optimal Control Theory
    School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing, 100083, China
    J. Transp. Syst. Eng. Inf. Technol., 2007, 6 (61-66):
  • [23] An algorithm for selecting optimal controls to determine the estimators of the coefficients of a mathematical model for the dynamics of a self-propelled anti-aircraft missile system
    Koruba, Zbigniew
    Krzysztofik, Izabela
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS, 2013, 227 (K1) : 12 - 16
  • [24] Modeling and optimization of a high-efficiency lead-free perovskite solar cell structure by selecting optimal electron and hole transport layer
    Bain, Sajib
    Nirjon, Safayat Chowdhury
    Alam, Mohammad Jahangir
    PROCEEDINGS OF 2024 7TH INTERNATIONAL CONFERENCE ON DEVELOPMENT IN RENEWABLE ENERGY TECHNOLOGY, ICDRET 2024, 2024,
  • [25] Prediction Model for Optimal Efficiency of the Green Corrosion Inhibitor Oleoylsarcosine: Optimization by Statistical Testing of the Relevant Influencing Factors
    Kaskah, Saad E.
    Ehrenhaft, Gitta
    Gollnick, Joerg
    Fischer, Christian B.
    ENG, 2023, 4 (01): : 635 - 649
  • [26] Renewable energy communities optimal design supported by an optimization model for investment in PV/wind capacity and renewable electricity sharing
    Sousa, Jorge
    Lagarto, Joao
    Camus, Cristina
    Viveiros, Carla
    Barata, Filipe
    Silva, Pedro
    Alegria, Ricardo
    Paraiba, Orlando
    ENERGY, 2023, 283
  • [27] Optimal Location and Capacity Planning for Parcel Lockers: A Bi-Level Optimization Model Considering Planners' and Customers' Perspectives
    Dayal, Eshwar
    Unnikrishnan, Avinash
    Pani, Agnivesh
    Lakshay
    TRANSPORTATION RESEARCH RECORD, 2025,
  • [28] A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications
    Chen, Yingzhuo
    Yuan, Zhao
    Luo, Fang
    NAECON 2018 - IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE, 2018, : 36 - 42
  • [29] Enhanced deep learning-based optimization model for the optimal energy efficiency-oriented Cognitive Radio Networks
    Saranya, S.
    Jayarajan, P.
    Ain Shams Engineering Journal, 2024, 15 (12)
  • [30] Distribution Network Hierarchically Partitioned Optimization Considering Electric Vehicle Orderly Charging with Isolated Bidirectional DC-DC Converter Optimal Efficiency Model
    Zhang, Qiushi
    Zhao, Jian
    Wang, Xiaoyu
    Tong, Li
    Jiang, Hang
    Zhou, Jinhui
    ENERGIES, 2021, 14 (06)