Spatially Characterizing Major Airline Alliances: A Network Analysis

doi:10.3390/ijgi10010037

淡江大學機構典藏 > 工學院 > 人工智慧學系 > 期刊論文 > Item 987654321/121782

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/121782

Title:	Spatially Characterizing Major Airline Alliances: A Network Analysis
Authors:	Chan, Chun-Hsiang;Chu, Tzu-How;Wu, Jiun-Huei Proty;Wen, Tzai-Hung
Keywords:	airline alliance airport network;airport community;market characteristics
Date:	2021-01-15
Issue Date:	2021-12-20 12:12:17 (UTC+8)
Publisher:	MDPI
Abstract:	An airline alliance is a group of member airlines that seek to achieve the same goals through routes and airports. Hence, airports’ connectivity plays an essential role in understanding the linkage between different markets, especially the impact of neighboring airports on focal airports. An airline alliance airport network (AAAN) comprises airports as nodes and routes as edges. It could reflect a clear collaborative proportion within AAAN and competitive routes between AAANs. Recent studies adopted an airport- or route-centric perspective to evaluate the relationship between airline alliances and their member airlines; meanwhile, they mentioned that an airport community could provide valuable air transportation information because it considers the entire network structure, including the impacts of the direct and indirect routes. The objectives are to identify spatial patterns of market region in an airline alliance and characterize the differences among airline alliances (Oneworld, Star Alliance, and SkyTeam), including regions of collaboration, competition, and dominance. Our results show that Star Alliance has the highest collaboration and international market dominance among three airline alliances. The most competitive regions are Asia-Pacific, West Asia, Europe, and North and Central America. The network approach we proposed identifies market characteristics, highlights the region of market advantages in the airline alliance, and also provides more insights for airline and airline alliances to extend their market share or service areas.
Relation:	ISPRS International Journal of Geo-Information (IJGI) 10(1), 37 (15 pages)
DOI:	10.3390/ijgi10010037
Appears in Collections:	[人工智慧學系] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	108	View/Open
Spatially Characterizing Major Airline Alliances A Network Analysis.pdf		6297Kb	Adobe PDF	146	View/Open

Loading...