Research On Co-competition Relationship Of Airport Cluster In Guangdong-Hong Kong-Macao Greater Bay Area

Airports are becoming more and more important as gateways to cities in the context of economic globalization.As the number of airports increases,homogeneous competition within airport clusters leads to increasingly prominent problems such as waste of airport resources.At the same time,homogeneous competition within airport clusters has led to increasingly prominent problems such as waste of airport resources.It is an inevitable trend for the future development of airports to promote the transformation of airports in airport clusters from single competition or cooperation to competing relationship.Therefore,this thesis investigates the competing relationship among airports in a regional airport cluster from the perspective of networking based on entropy-TOPSIS,gravitational model and social network analysis,and provides a theoretical reference for the competing strategy among airports in the airport cluster.The research of the thesis includes four main aspects.(1)Airport competitiveness is defined by understanding the concept of enterprise competitiveness,the competition theory of airport clusters is summarized in the context of the origin of the concept of airport clusters and the problems existing at various stages of airport cluster competition development,and explained the relevant methods and theories of airport cluster competition network relationship research.(2)Combining the development characteristics of regional airport clusters,this thesis analyzed the relevant factors affecting the competitive relationship among airports,selected the evaluation indexes with strong correlation with the comprehensive competitiveness of airports from the perspective of airports themselves and the external environment,constructed an evaluation index system for the comprehensive competitiveness of airports,including 4secondary indexes and 13 influencing factors,and calculated the comprehensive competitiveness of each airport by using the entropy-TOPSIS method.(3)In order to reflect the spatial connection among airports in the regional airport cluster,the traditional gravitational model is improved,and the "quality" of each airport in the regional airport cluster is determined by the evaluation results of the entropy-TOPSIS method,and the distance in the gravitational model is revised to a "comprehensive distance"combining geographical distance and economic distance."The feasibility of the improved gravitational model is verified by revising the gravitational coefficients in the gravitational model into asymmetric coefficients,which makes the improved gravitational model more suitable for the research of this thesis.(4)Taking the Guangdong-Hong Kong-Macao Greater Bay Area Airport Cluster as the research background,the improved gravitational model is used to calculate the degree of association among airports in the Greater Bay Area Airport Cluster,and the gravitational value is used as the side weight to establish the regional airport cluster competing network.Through the social network analysis method,the overall characteristics of the Greater Bay Area Airport Cluster competing network,the centrality of each airport node,the structural holes and the cohesive subgroups are comprehensively analyzed,which provides a theoretical basis for each airport Theoretical basis is provided for the reasonable positioning of each airport.Suggestions are provided for the hierarchical positioning and differentiated development of each airport in the Guangdong-Hong Kong-Macao Greater Bay Area Airport Cluster,so as to effectively avoid the waste of resources caused by excessive competition among airports.