Networks for Flight Delay Analysis: A Scoping Review and Research Agenda

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-01-10 DOI:10.1109/TNSE.2025.3526850

Sebastian Wandelt;Xinyue Chen;Xiaoqian Sun

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引用次数: 0

Abstract

Flight delay is one of the most severe problems faced by the aviation industry, and its excessive impact on air transport operations and society has attracted wide attention by researchers. Due to the structural nature of air transportation and the intrinsic dependencies between system components, many studies on flight delays have used concepts from network science and related subjects to better understand the principles and dynamics underlying flight delay. This paper provides a comprehensive review by analyzing extant studies on the exploration of aviation delay based on network models. Our review covers various aspects, including the type of network models, main methodologies, and algorithms, as well as the major findings of existing studies and their managerial / policy-related insights. Finally, we discuss the potential development trends and provide explicit guidance for future related studies, with the goal to promote informed research on air transportation delay - taking into account the full state-of-the-art in the extant literature.

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航班延误分析网络：范围审查和研究议程

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.