2021
DOI: 10.1016/j.jairtraman.2021.102045
|View full text |Cite
|
Sign up to set email alerts
|

Airport and route classification by modelling flight delay propagation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 15 publications
(4 citation statements)
references
References 12 publications
0
4
0
Order By: Relevance
“…3 Raw flight operations data, known as tower logs, include the departure/arrival airport (route), flight number, scheduled and actual departure (arrival) time, number of passengers, cargo weight, etc. ( Kim and Bae, 2021 ; Kim and Park, 2021 ). We received the data from Incheon international airport Corporation (IIAC) and Korea Airport Corporation (KAC), which manage the other airports in South Korea.…”
Section: Methodsmentioning
confidence: 99%
“…3 Raw flight operations data, known as tower logs, include the departure/arrival airport (route), flight number, scheduled and actual departure (arrival) time, number of passengers, cargo weight, etc. ( Kim and Bae, 2021 ; Kim and Park, 2021 ). We received the data from Incheon international airport Corporation (IIAC) and Korea Airport Corporation (KAC), which manage the other airports in South Korea.…”
Section: Methodsmentioning
confidence: 99%
“…Gao focused on a key bottleneck of outbound passenger movements in airport terminals, the security checkpoints, and used the Transportation Security Administration (TSA) Customer Throughput/Wait Times Reports to cluster hub airports of the United States 11 . Kim et al proposed a generated delay concept to provide descriptive statistics to classify a target airport based on average propagated delays and average generated delays and performed delay propagation analysis for Korean domestic airports 12 . Chen et al employed a multi-dimensional clustering to classify the airports of Chinese multi-airport regions based on competitive concentrations, the interaction between air transport and HSR, and airport community structure and further provided insights into Chinese airport functionality and impacts of the HSR network on the distribution of different types of airports 13 .…”
Section: Related Workmentioning
confidence: 99%
“…Kafle and Zou ( 19 ) classified delays into newly formed and propagated to investigate how ground and flight buffers help absorb delays by testing different scenarios. Kim and Park ( 20 ) further extended the analysis by looking into newly formed and propagated delays on an airport and route level to identify the airports/routes with the largest impact on actual flight delay in South Korea. The authors recommended replacing a distance-based ATM system with a time-based ATM system.…”
Section: Literature Reviewmentioning
confidence: 99%