Network structure revelation and airport role evaluation under three different COVID-19 pandemic periods: Evidence from a Chinese airline

Asian Transport Studies Pub Date : 2022-01-01 DOI:10.1016/j.eastsj.2022.100082

Haoyu Zhang , Weiwei Wu , Frank Witlox

{"title":"Network structure revelation and airport role evaluation under three different COVID-19 pandemic periods: Evidence from a Chinese airline","authors":"Haoyu Zhang , Weiwei Wu , Frank Witlox","doi":"10.1016/j.eastsj.2022.100082","DOIUrl":null,"url":null,"abstract":"<div><p>The continuous spread of coronavirus disease 2019 (COVID-19) has had a substantial impact on China's domestic airline networks. It is important for airlines to identify key airports and airport roles in future network design. In this paper, a k-core algorithm is used to decompose the network layers during different periods of COVID-19 to investigate the network structure and the airport role change. By considering both airport degree and route traffic, network characteristics are analyzed, and the key airports are determined based on network evaluation. The results show that the airline network is robust due to its mixed hub-and-spoke network structure, which is basically dominated by direct flights between airports. However, different operation patterns should be implemented based on airport roles. It is not advisable for airlines to pursue network connectivity at the cost of a low passenger load factor.</p></div>","PeriodicalId":100131,"journal":{"name":"Asian Transport Studies","volume":"8 ","pages":"Article 100082"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2185556022000281/pdfft?md5=ec9daf5709e3e006eaf63daf20f3804a&pid=1-s2.0-S2185556022000281-main.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Transport Studies","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2185556022000281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

Abstract

The continuous spread of coronavirus disease 2019 (COVID-19) has had a substantial impact on China's domestic airline networks. It is important for airlines to identify key airports and airport roles in future network design. In this paper, a k-core algorithm is used to decompose the network layers during different periods of COVID-19 to investigate the network structure and the airport role change. By considering both airport degree and route traffic, network characteristics are analyzed, and the key airports are determined based on network evaluation. The results show that the airline network is robust due to its mixed hub-and-spoke network structure, which is basically dominated by direct flights between airports. However, different operation patterns should be implemented based on airport roles. It is not advisable for airlines to pursue network connectivity at the cost of a low passenger load factor.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

新冠肺炎大流行三个不同时期的网络结构揭示与机场作用评估——来自中国某航空公司的证据

2019冠状病毒病(COVID-19)的持续传播对中国国内航空网络产生了重大影响。对于航空公司来说，确定主要机场和机场在未来网络设计中的作用是很重要的。本文采用k-core算法对COVID-19不同时期的网络层进行分解，研究网络结构和机场角色的变化。在综合考虑机场度和航线客流量的基础上，分析了网络特征，并基于网络评价确定了重点机场。结果表明，该航线网络具有较强的鲁棒性，主要表现为以机场间直航为主的混合型枢纽辐状网络结构。但是，应根据机场角色实现不同的操作模式。航空公司以低客座率为代价追求网络连接是不可取的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Asian Transport Studies

CiteScore

2.10

自引率

0.00%

发文量