2013Changjiang liuyu ziyuan yu huanjingRequires access

A FRACTAL STUDY ON THE SPATIAL STRUCTURE OF EXCELLENT TOURISM CITIES IN SICHUAN PROVINCE

Hu Jing

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Abstract

Excellent tourism cities are important tourist destination.As important nodes of a tourism region,they play essential role as tourist centers.The optimization of their spatial structure is related to their spatial integration and the overall effect they have in a region.Based on the fractal theory,this paper quantitatively analyzed the spatial structure of the excellent tourism cities in Sichuan province.The findings indicated that it was feasible to apply the fractal theory to study the spatial structure of excellent tourism cities,and the spatial structure of the excellent tourism cities in Sichuan province had a fractal characteristic.The excellent tourism cities were gathering around the tourism center(Chengdu city),and the centripetal was apparent.The excellent tourism cities had a trend to gather near a geographical line,with strong space relevance and good transportation network.Finally,based on the spatial structure of the excellent tourism cities in Sichuan province and in order to optimize the spatial structure of the excellent tourism cities,this paper suggests to construct the Great Chengdu excellent tourism city cluster and K-shaped development straps of excellent tourism cities.

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What this paper is about

Excellent tourism cities are important tourist destination.As important nodes of a tourism region,they play essential role as tourist centers.The optimization of their spatial structure is related to their spatial integration and the overall effect they have in a region.Based on the fractal theory,this paper quantitatively analyzed the spatial structure of the excellent tourism cities in Sichuan province.The findings indicated that it was feasible to apply the fractal theory to study the spatial structure of excellent tourism cities,and the spatial structure of the excellent tourism cities in Sichuan province had a fractal characteristic.The excellent tourism cities were gathering around the tourism center(Chengdu city),and the centripetal was apparent.The excellent tourism cities had a trend to gather near a geographical line,with strong space relevance and good transportation network.Finally,based on the spatial structure of the excellent tourism cities in Sichuan province and in order to optimize the spatial structure of the excellent tourism cities,this paper suggests to construct the Great Chengdu excellent tourism city cluster and K-shaped development straps of excellent tourism cities.

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Available abstract

Excellent tourism cities are important tourist destination.As important nodes of a tourism region,they play essential role as tourist centers.The optimization of their spatial structure is related to their spatial integration and the overall effect they have in a region.Based on the fractal theory,this paper quantitatively analyzed the spatial structure of the excellent tourism cities in Sichuan province.The findings indicated that it was feasible to apply the fractal theory to study the spatial structure of excellent tourism cities,and the spatial structure of the excellent tourism cities in Sichuan province had a fractal characteristic.The excellent tourism cities were gathering around the tourism center(Chengdu city),and the centripetal was apparent.The excellent tourism cities had a trend to gather near a geographical line,with strong space relevance and good transportation network.Finally,based on the spatial structure of the excellent tourism cities in Sichuan province and in order to optimize the spatial structure of the excellent tourism cities,this paper suggests to construct the Great Chengdu excellent tourism city cluster and K-shaped development straps of excellent tourism cities.

Key concepts: Tourism, Economic geography, Geography, Regional science, Fractal, Space (punctuation), Cluster (spacecraft), Business

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A FRACTAL STUDY ON THE SPATIAL STRUCTURE OF EXCELLENT TOURISM CITIES IN SICHUAN PROVINCE — Research Paper | ScholarLens