Determinants of wave-system structures of network airlines at hub airports

Yonglei Jiang; Jing Lu; Tao Feng; Zhongzhen Yang

doi:10.1016/j.jairtraman.2020.101871

Determinants of wave-system structures of network airlines at hub airports

Yonglei Jiang (Corresponding author), Jing Lu, Tao Feng, Zhongzhen Yang

Urban Planning and Transportation

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

This paper attempted to analyze the factors influencing the existence and configuration of wave-system structures of large network airlines at hub airports based on the statistical data of daily flight schedules. A bootstrapped binary logistic regression model was used to analyze the relationship between wave-system structure and its influential factors. Further, a partial least squared regression model was employed to uncover the determinants of wave-system structures' configuration. It is found that the interaction effects of two types of flight rates positively determine the existence of a wave-system structure, and the rate of airline's daily flights had the biggest impact on the configurations of wave-system structures.

Original language	English
Article number	101871
Number of pages	9
Journal	Journal of Air Transport Management
Volume	88
DOIs	https://doi.org/10.1016/j.jairtraman.2020.101871
Publication status	Published - Sep 2020

Keywords

Bootstrapped binary logistic regression model
Hub airports
Network airlines
Partial least square regression model
Wave-system structure

Access to Document

10.1016/j.jairtraman.2020.101871

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Determinants of wave-system structures of network airlines at hub airports'. Together they form a unique fingerprint.

Cite this

@article{d7922bfb2ca44b07963660f8713e1e0b,

title = "Determinants of wave-system structures of network airlines at hub airports",

abstract = "This paper attempted to analyze the factors influencing the existence and configuration of wave-system structures of large network airlines at hub airports based on the statistical data of daily flight schedules. A bootstrapped binary logistic regression model was used to analyze the relationship between wave-system structure and its influential factors. Further, a partial least squared regression model was employed to uncover the determinants of wave-system structures' configuration. It is found that the interaction effects of two types of flight rates positively determine the existence of a wave-system structure, and the rate of airline's daily flights had the biggest impact on the configurations of wave-system structures.",

keywords = "Bootstrapped binary logistic regression model, Hub airports, Network airlines, Partial least square regression model, Wave-system structure",

author = "Yonglei Jiang and Jing Lu and Tao Feng and Zhongzhen Yang",

year = "2020",

month = sep,

doi = "10.1016/j.jairtraman.2020.101871",

language = "English",

volume = "88",

journal = "Journal of Air Transport Management",

issn = "0969-6997",

publisher = "Elsevier",

}

TY - JOUR

T1 - Determinants of wave-system structures of network airlines at hub airports

AU - Jiang, Yonglei

AU - Lu, Jing

AU - Feng, Tao

AU - Yang, Zhongzhen

PY - 2020/9

Y1 - 2020/9

N2 - This paper attempted to analyze the factors influencing the existence and configuration of wave-system structures of large network airlines at hub airports based on the statistical data of daily flight schedules. A bootstrapped binary logistic regression model was used to analyze the relationship between wave-system structure and its influential factors. Further, a partial least squared regression model was employed to uncover the determinants of wave-system structures' configuration. It is found that the interaction effects of two types of flight rates positively determine the existence of a wave-system structure, and the rate of airline's daily flights had the biggest impact on the configurations of wave-system structures.

AB - This paper attempted to analyze the factors influencing the existence and configuration of wave-system structures of large network airlines at hub airports based on the statistical data of daily flight schedules. A bootstrapped binary logistic regression model was used to analyze the relationship between wave-system structure and its influential factors. Further, a partial least squared regression model was employed to uncover the determinants of wave-system structures' configuration. It is found that the interaction effects of two types of flight rates positively determine the existence of a wave-system structure, and the rate of airline's daily flights had the biggest impact on the configurations of wave-system structures.

KW - Bootstrapped binary logistic regression model

KW - Hub airports

KW - Network airlines

KW - Partial least square regression model

KW - Wave-system structure

UR - http://www.scopus.com/inward/record.url?scp=85089341042&partnerID=8YFLogxK

U2 - 10.1016/j.jairtraman.2020.101871

DO - 10.1016/j.jairtraman.2020.101871

M3 - Article

AN - SCOPUS:85089341042

VL - 88

JO - Journal of Air Transport Management

JF - Journal of Air Transport Management

SN - 0969-6997

M1 - 101871

ER -