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Small-world network theory in the study of network connectivity and efficiency of complementary international airline alliances

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  • Hsu, Chaug-Ing
  • Shih, Hsien-Hung

Abstract

This paper investigates the network connectivity and efficiency of international airline alliances, and conceptually applies the shortcuts of small-world networks to analyze alliance routes. Based on travel time, mobility and accessibility models are formulated to evaluate the effects of alliance on network connectivity. The results show that the connectivity of the alliance network is better than before, and the alliance effectively improves accessibility from high–medium traffic airports to low traffic airports. After the alliance, the shortest paths between origin–destination pairs will involve more transfers but less travel time.

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  • Hsu, Chaug-Ing & Shih, Hsien-Hung, 2008. "Small-world network theory in the study of network connectivity and efficiency of complementary international airline alliances," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 123-129.
    • Handle: RePEc:eee:jaitra:v:14:y:2008:i:3:p:123-129
    DOI: 10.1016/j.jairtraman.2008.02.007
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    References listed on IDEAS

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    Cited by:

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    2. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network," International Regional Science Review, , vol. 34(2), pages 230-252, April.
    3. Jin Qin & Yuxin He & Linglin Ni, 2014. "Quantitative Efficiency Evaluation Method for Transportation Networks," Sustainability, MDPI, vol. 6(12), pages 1-15, November.
    4. Piotr Niewiadomski, 2013. "International airline groups in Africa," Global Development Institute Working Paper Series ctg-2013-36, GDI, The University of Manchester.
    5. Jiang, Yonglei & Yao, Baozhen & Wang, Lu & Feng, Tao & Kong, Lu, 2017. "Evolution trends of the network structure of Spring Airlines in China: A temporal and spatial analysis," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 18-30.
    6. Bin Wu & Wanying Huang & Pengfei Liu, 2017. "Carbon Reduction Strategies Based on an NW Small-World Network with a Progressive Carbon Tax," Sustainability, MDPI, vol. 9(10), pages 1-22, September.
    7. Zhou, Yaoming & Kundu, Tanmoy & Qin, Wei & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Vulnerability of the worldwide air transportation network to global catastrophes such as COVID-19," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    8. Karst T. Geurs & Kevin J. Krizek & Aura Reggiani, 2012. "Accessibility analysis and transport planning: an introduction," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 1, pages 1-12, Edward Elgar Publishing.
    9. Narangajavana, Yeamduan & Garrigos-Simon, Fernando J. & García, Javier Sanchez & Forgas-Coll, Santiago, 2014. "Prices, prices and prices: A study in the airline sector," Tourism Management, Elsevier, vol. 41(C), pages 28-42.
    10. Yuxin He & Jin Qin & Jian Hong, 2017. "Comparative analysis of quantitative efficiency evaluation methods for transportation networks," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.
    11. Wang, Xinglong & Peng, Jinhan & Tang, Junqing & Lu, Qiuchen & Li, Xiaowei, 2022. "Investigating the impact of adding new airline routes on air transportation resilience in China," Transport Policy, Elsevier, vol. 125(C), pages 79-95.
    12. Ying Jin & Ye Wei & Chunliang Xiu & Wei Song & Kaixian Yang, 2019. "Study on Structural Characteristics of China’s Passenger Airline Network Based on Network Motifs Analysis," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    13. Zhai, Wei & Bai, Xueyin & Peng, Zhong-ren & Gu, Chaolin, 2019. "A bottom-up transportation network efficiency measuring approach: A case study of taxi efficiency in New York City," Journal of Transport Geography, Elsevier, vol. 80(C).

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