长江流域资源与环境 >> 2014, Vol. 23 >> Issue (05): 644-.doi: 10.11870/cjlyzyyhj201405008

• 自然资源 • 上一篇    下一篇

基于路网结构的甘南藏族自治州旅游资源可达性评价

李巍, 王祖静   

  1. (1.西北师范大学地理与环境科学学院,甘肃 兰州 730070; 2.华东师范大学地理信息科学教育部重点实验室,上海 200241)
  • 出版日期:2014-05-20

STUDY ON ACCESSIBILITY OF TOURISM RESOURCES OF GANNAN STATE BASED ON LAND TRAFFIC NETWORK

LI Wei1, WANG Zujing2   

  1. (1.College of Geography and Environment Science,Northwest Normal University,Lanzhou 730070,China;2.Key Laboratory of Geographic Information Science,Ministry of Education,East China Normal University,Shanghai 200241
  • Online:2014-05-20

摘要:

首先运用GIS和GS+软件,对甘南藏族自治州优良级旅游资源的可达性及其空间分布格局进行定量分析,利用探索性空间数据分析(ESDA)方法和空间变差函数,找出各区域之间可达性值的内在联系,和影响旅游资源可达性的关键因素。发现高等级旅游资源的可达性明显好于低等级资源,并且相同时间内的等时圈扩散较大,主要是由于高等级旅游资源分布于高等级道路系统周边,低等级资源大多交通不便。然后在上述分析的基础上,根据蚁群算法(ACO)编程,找出各级旅游资源之间的闭合回路,按照地形交通因素提取回路的最短出行路径,以期为游客合理选择旅游景点和规划出行路线提供科学依据

Abstract:

This article is a study of tourism resources. Firstly we used GIS software to analyze the accessibility of tourism resources at the excellent level in Gannan State, Gansu Province. We used cell grids as evaluation units and multithematic spatial analysis. Tourism resources above level 3 and the highgrade road network in Gannan State were used as the data source. Spatial pattern of traffic accessibility was analyzed. Then we used ESDA and semivariogram method to find out the dominant factors of accessibility affecting the tourism resources. Secondly we used the GS+ software to analyze the spatial pattern of accessibility to all resources. And we used spatial variogram to analyze the intrinsic links between the various regions of accessibility. We found the accessibility of high level tourism resources was better than low level obviously. Furthermore the isochronous rings of high level resources were bigger than those of low level at the same conditions. This is because the high level resources were distributed around the road network; and the low level resources often had a bad transportation. For example, the 5th level resources Labrang Monastery is located in Provincial Highway 312, Langmusi is located in National Road 213. But 60% of the 4th level resources and 375% of the 3rd level resources are located in road network above the provincial highway. It explains why the accessibility of high level tourism resources is better. Finally we made a program using an ACO algorithm in Matlab to find the closed loop between each tourism resources at all levels. We extracted the shortest path of each resources based on transportation and DEM factor. The result showed that the route of ACO was approximately formed along the road network and valley. The distribution of itself, the location of transportation and terrain ruggedness were the main factors which affected tourism resources. Recently, the scenic of Gannan State is concentrated in 2 national roads. The resources constitute above 40% of statewide. Some tourism attractions and scenic have good accessibility and the others have bad accessibility. The article helps tourists make best choices to develop travel path conveniently

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