About: Clustered airline flight scheduling: Evidence from airline deregulation in Korea

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Clustered airline flight scheduling: Evidence from airline deregulation in Korea
Creator	Yeon, Joo
Source	Elsevier; Medline; PMC
abstract	Abstract This paper explores the impacts of competition level on airline scheduling in the Korean domestic short-haul routes where a hub-and-spoke system is not the optimal air transport network strategy. The empirical findings using the Korean airline panel data for the period 2006–2010 suggest that competition leads to less differentiated departure flight times as expected from spatial competition theory. Unlike the previous study on the U.S airline industry, the degree of this tendency for less differentiation differs across the type of routes: the Jeju island routes (leisure type) and the inland routes (business type), in the deregulated period. Following the May 2008 Deregulation Act we find an increasingly clustered pattern of airline scheduling in the Jeju island routes where there have been competitive pressures associated with new low cost entrants. This recent evidence would imply that airline carriers strategically schedule departure flight times and allocate flights between routes as competition increases in the deregulated period.
has issue date	2015-01-31(xsd:dateTime)
bibo:doi	10.1016/j.jairtraman.2014.09.004
bibo:pmid	32372850
has license	els-covid
sha1sum (hex)	5cc3be8a3752116b4c436728ec186107a783f4d5
schema:url	https://doi.org/10.1016/j.jairtraman.2014.09.004
resource representing a document's title	Clustered airline flight scheduling: Evidence from airline deregulation in Korea
has PubMed Central identifier	PMC7148908
has PubMed identifier	32372850
schema:publication	Journal of Air Transport Management
resource representing a document's body	covid:5cc3be8a3752116b4c436728ec186107a783f4d5#body_text
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