Delay causality network in air transport systems

被引：122

作者：

Du, Wen-Bo ^{[1
]}

Zhang, Ming-Yuan ^{[1
,2
]}

Zhang, Yu ^{[3
]}

Cao, Xian-Bin ^{[1
]}

Zhang, Jun ^{[4
]}

机构：

[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China

[2] Beihang Univ, Shen Yuan Honors Coll, Beijing 100191, Peoples R China

[3] Univ S Florida, Dept Civil & Environm Engn, 4202 E Fowler Ave, Tampa, FL 33620 USA

[4] Beijing Inst Technol, Beijing 100081, Peoples R China

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2018年 / 118卷

基金：

中国国家自然科学基金;

关键词：

Flight delay; Delay propagation; Delay causality; Network analysis; PROPAGATION; IMPACT; CHINA; US;

D O I：

10.1016/j.tre.2018.08.014

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

To better understand the mechanism of flight delay propagation at the system-level, we built a delay causality network (DCN) based on the Granger causality test. Through topological analysis of DCNs, we found that only about a quarter of airports were involved in delay propagation during the peak travel period and large airports affected by many upstream airports impact fewer downstream airports. Furthermore, temporal analysis of DCNs indicates that the culprits of delay propagation in the air transport system are not a fixed set of airports; instead, they vary daily depending on the operational environment.

引用

页码：466 / 476

页数：11

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