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地理研究 2007
A fractal study on spatial structure of tourist scenic spots systems:a case study of Nanjing
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Abstract:
In this paper,the authors made a fractal analysis on the spatial structure of tourist scenic spots systems of Nanjing,based on a latest tourist resources survey,to explore the characteristics of spatial structure.The authors chose 14 leading tourist scenic spots as samples to analyze random aggregation fractal dimension,grid information fractal dimension and correlation fractal dimension of the spatial structure of tourist scenic spots systems.Through analyzing fractal dimensions and individual fractal dimension coordinate,the author concluded that it is feasible to apply fractal approach to study the spatial structure of tourist scenic spots systems in Nanjing.Analyses of three fractal dimensions all lead to the same conclusion that the tourist scenic spots systems in Nanjing have a fractal spatial structure and show a tendency of self-organization optimization.Hierachical centers and spatial geometrical centers overlap each other and form a mature fractal spatial structure.Pillar attraction dots in each tourist spot are close to each other,providing ideal order and sequence and well-arranged spatial structure,thus leading to an optimized independent operation.To be exact,the random aggregation fractal dimension D=0.6818,less than 1.The spatial structure of the whole tourist spots network shows a strong random aggregation while the density of tourist spots lowers down quickly from the center to its surroundings.Grid information fractal dimension also presents a highly-centered layout of tourist spots in Nanjing.Its value approaches 1,which shows that tourist spots gather along certain directions in spatial arrangement.And the correlation fractal dimension reveals that the spatial structure of tourist spots is of a multi-fractal feature with varied fractal structures,which means that the spatial structure of the system has not reached an ideal self-organization optimization,or retrogradation has occurred to some degrees.The tendency of self-organization optimization has been interrupted by some unexpected factors and the spatial structure needs new adjustments.