Spatial Characteristics and Influential Factors of High-speed Rail and Civil Aviation Service Networks in the Yangtze River Delta Urban Agglomeration
This paper analyzes the urban spatial organization characteristics of national high-speed rail and civil aviation service network from the aspects of connection breadth,connection strength,service capacity and so on,and uses the geographical detectors to explore its influencing factors.The study shows that:1)The connection breadth and connection strength and equilibrium characteristic of high-speed rail are significantly higher than those of civil aviation.The cities with large high-speed rail connections show centralized distribution characteristics along Shanghai-Nanjing and Shanghai-Hangzhou axes,while the high-value cities in civil aviation network show island-like distribution characteristics,and Shanghai's hub status is more prominent.2)In high-speed rail network,the connection intensity shows a certain distance attenuation law,the city pairs with high connection strength are mainly distributed within the urban agglomeration,most of which is distributed along Shanghai-Nanjing axis.In civil aviation network,the high strength connections mainly occur in the long-distance urban agglomerations,and are concentrated in the central cities of the long-distance urban agglomerations.3)Considering the service capacity of connection breadth and connection strength comprehensively,Shanghai,Nanjing and Hangzhou have prominent advantages in both high-speed rail network and civil aviation network,and the spatial distribution of service capacity is basically the same as those of connection breadth and connection strength.4)The influence of economic factors,social factors and city nature on civil aviation transport is significantly greater than that on high-speed rail.Industrial structure plays a key role in the formation of network pattern of both high-speed rail and civil aviation,and combined effect of different factors plays a greater role in the formation of the spatial pattern of the two networks.
NETL
NSTL
万方数据
