Network Robustness of Major Asian Airlines and the Impact of Airports’ Brokerage Roles
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This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.
Abstract
This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.
참고문헌 (38)
- Bagler, G, "Analysis of the airport network of India as a complex weighted network", Physica A : Statistical Mechanics and its Applications, 387, pp.2972~2980 (2008)
- Barabási, A. L., "Network Science" (2016), Cambridge university press
- Barabási, A. L., "Emergence of scaling in random networks", Science, 286, pp.509~512 (1999)
- Barabási, A. L., "Scale-free networks", Scientific American, 288, pp.60~69 (2003)
- Boccaletti, S., "Complex networks : Structure and dynamics", Physics Reports, 424, pp.175~308 (2006)
- Borenstein, S., "Hubs and high fares : Dominance and market power in the U. S. airline industry", The RAND Journal of Economics, 20, pp.344~365 (1989)
- "Introduction to Social Network Research: Brokerage Typology" (2018)[URL]
- Costenbader, E., "The stability of centrality measures when networks are sampled", Social Networks, 25, pp.283~307 (2003)
- Dennis. N., "Airline hub operations in Europe", Journal of Transport Geography, 2, pp.219~233 (1994)
- Fernandez, R. M., "A dilemma of state power : Brokerage and influence in the national health policy domain", American Journal of Sociology, 99, pp.1455~1491 (1994)
- Freeman, L. C., "Centrality in social networks : ii. experimental results", Social Networks, 2, pp.119~141 (1979)
- Gould, R. V., "Structures of mediation: A formal approach to brokerage in transaction networks", Sociological Methodology, pp.89~126 (1989)
- Guimerà, R., "The worldwide air transportation network : Anomalous centrality, community structure, and cities’ global roles", Proceedings of the National Academy of Sciences of the United States of America, 102, pp.7794~7799 (2005)
- Hossain, M., "A complex network approach towards modeling and analysis of the Australian airport network", Journal of Air Transport Management, 60, pp.1~9 (2017)
- Hossain, M., "Australian airport network robustness analysis: A complex network approach", Proceedings of Australasian Transport Research Forum (ATRF) (2013)
- ACI World publishes annual World Airport Traffic Report, "International Airports Council", ~ (2018)
- Jiang, Y., "Evolution trends of the network structure of Spring Airlines in China : A temporal and spatial analysis", Journal of Air Transport Management, 60, pp.18~30 (2017)
- Kirkels, Y., "Brokerage in SME networks", Research Policy, 39, pp.375~385 (2010)
- Latora, V., "Efficient behavior of small-world networks", Physical Review Letters, 87, pp.198701~ (2001)
- Li, W., "Statistical analysis of airport network of China", Physical Review E, 69, pp.046106~ (2004)
- Liebowitz, J., "Knowledge Retention : Strategies and Solutions" (2008), Auerbach Publications
- Lin, J., "The evolving network structure of US airline system during 1990-2010", Physica A : Statistical Mechanics and its Applications, 410, pp.302~312 (2014)
- Liu, J., "A comparative study of network robustness measures", Frontiers of Computer Science, 11, pp.568~584 (2017)
- Lordan, O., "Robustness of airline route networks", Physica A : Statistical Mechanics and its Applications, 445, pp.18~26 (2016)
- Lordan, O., "Robustness of the air transport network", Transportation Research Part E : Logistics and Transportation Review, 68, pp.155~163 (2014)
- Lordan, O., "Robustness of airline alliance route networks", Communications in Nonlinear Science and Numerical Simulation, 22, pp.587~595 (2015)
- Manzano, M., "Robustness surfaces of complex networks", Scientific Reports, 4, pp.6133~ (2014)
- OAG, "Megahubs International Index 2017" (2017), Luton
- Rodrigue, J. P., "The Geography of Transport Systems" (2017), Routledge
- 송민근, "Analysis of the Air Transport Network Characteristics of Major Airports", The Asian Journal of Shipping and Logistics, 33(3), pp.117~125 (2017), 한국해운물류학회
- Sun, X., "Robustness analysis metrics for worldwide airport network : A comprehensive study", Chinese Journal of Aeronautics, 30, pp.500~512 (2017)
- Sun, X., "Temporal evolution analysis of the European air transportation system : Air navigation route network and airport network", Transportmetrica B : Transport Dynamics, 3, pp.153~168 (2015)
- Air passenger market analysis-December 2017, "The International Air Transport Association", ~ (2017)
- Wang, J., "Exploring the network structure and nodal centrality of China’s air transport network : A complex network approach", Journal of Transport Geography, 19, pp.712~721 (2011)
- Wilkinson, S. M., "The vulnerability of the European air traffic network to spatial hazards", Natural Hazards, 60, pp.1027~1036 (2012)
- Zhang, A., "An analysis of fortress hubs in airline networks", Journal of Transport Economics and Policy, 30, pp.293~307 (1996)
- Zhang, A., "Analysis of an international air-cargo hub : The case of Hong Kong", Journal of Air Transport Management, 9, pp.123~138 (2003)
- Zhou, Y., "Efficiency and robustness of weighted air transport networks", Transportation Research Part E : Logistics and Transportation Review, 122, pp.14~26 (2019)