Identification and Spatial-temporal Evolution Characteristics of Rail Transit Industry Clusters
This paper applies location entropy to identify China's rail transit industry clusters to carry out the state,and then constructs Logistic curve model and spatial evolution model to analyze the spatial-temporal evolution characteristics of rail transit industry clusters.The research results show that:(1)China's rail transit industry clusters in general show an increasing trend,and have been basically formed by 2020,but there are differences in the level of clusters between regions.(2)In time,the three key points for the development of rail transit industry cluster are 2010,2017 and 2023,presenting stage-by-stage development characteristics;(3)Spatially,the global spatial auto-correlation of rail transit industry cluster gradually increases,presenting the"agglomeration"devel-opment pattern,and at the same time,the spatial center of gravity of the industrial cluster varies be-tween 116.0419°E～115.5198°E,34.6150°N～32.9530°N,indicating that the center of gravity of the ellipse moves from northeast to southwest.The spatial ellipse is gradually converging to a positive circle,and the spatial distribution tends to be balanced,and at the same time,the spatial distribution of industrial clusters shows a tendency to shift from the northeast to the southwest,from the north-east to the north to the south.Based on this,China should integrate industrial resources,strengthen the effect of rail transit industry clusters,steadily promote the transformation and development of clusters,and further optimize the spatial distribution.
NETL
NSTL
万方数据
维普
