Measuring the development of airline networks: Comprehensive indicators
The literature on airlines presents few studies analyzing the airlines network evolution. The authors believe that this gap is due to the difficulty of capturing the network complexity in a simple manner. This paper proposes new simple and continuous indicators to measure the airlines’ network structure. The methodology to build them is based on graph theory and principal component analysis. The authors apply this approach to the US domestic market for 2005–2018, and obtain three network indicators. The first one measures how close the network is to a single-center structure. The second indicator measures the airline’s ability to provide alternative routes. The third indicator captures the network size. The authors analyze the indicators evolution across time and show their robustness under different scenarios.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
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Supplemental Notes:
- © 2019 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Roucolle, Chantal
- Seregina, Tatiana
- Urdanoz, Miguel
- Publication Date: 2020-3
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 303-324
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Serial:
- Transportation Research Part A: Policy and Practice
- Volume: 133
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0965-8564
- Serial URL: http://www.sciencedirect.com/science/journal/09658564
Subject/Index Terms
- TRT Terms: Airlines; Domestic transportation; Graph theory; Industry structure; Markets; Statistical analysis
- Geographic Terms: United States
- Subject Areas: Administration and Management; Aviation; Economics; Planning and Forecasting;
Filing Info
- Accession Number: 01735937
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 8 2020 8:54AM