基于网络信息的北京市旅游资源吸引力评价及空间分析

传统的旅游吸引力研究方法在数据获取、市场化评价、游客体验等方面存在一定的缺陷,而互联网的发展为旅游资源吸引力的评价带来了新途径。论文以北京市为例,建立城市旅游资源分类体系,对统计资源进行分类,采用层次分析法,建立基于网络信息的旅游资源单体吸引力评价体系,对北京市的旅游资源吸引力进行评价。采用多种空间分析方法对旅游资源吸引力的空间格局进行分析,得出以下结论：1）参与统计评价的北京市旅游资源共415个,总体平均吸引力指数为0.31,其中人文景观类吸引力最强,资源点数量最多。2）北京市旅游资源吸引力存在空间集聚,休闲活动类资源吸引力空间集聚度最大,人文景观类资源吸引力空间集聚度最小。3）自然景观类资源分布较为均匀,且旅游吸引力存在多个密度中心,吸引力热点区主要位于主城区;人文景观类资源分布集中于主城区,并形成旅游吸引力热点区和次热点区相间分布的空间特征;休闲活动类资源分布以主城区为主,形成吸引力密度中心和以热点区为核心、周边为次热点区的空间集聚形态,周边区县主要是冷点集聚区。基于网络信息的旅游吸引力评价体系为旅游吸引力的研究提供了新方法,并应用于空间分析上,对城市旅游资源的开发和发展有一定的指导意义。

Evaluation and Spatial Analysis of Tourism Resources Attraction in Beijing Based on the Internet Information

Traditional research methods of tourism attraction have some disadvantages, such as difficult data acquisition, poor market evaluation and different tourists’ experience. The development of internet brought us new approach. Taking Beijing as an example, this paper collected relevant information from internet, and classified tourism resources in Beijing according to the established classification system of urban tourism resources. Analytic hierarchy process (AHP) was used to establish a tourism resources attraction evaluation system, and the attraction of tourism resources in Beijing was evaluated. Then we analyzed the spatial pattern of tourism resources’ attraction by density estimation and spatial autocorrelation, and the following conclusions were found: 1) the total number of tourism resources in Beijing is 415, including 108 natural tourism resources, 203 humane tourism resources, 104 leisure tourism resources, and the average of tourism attraction of all resources is 0.32, among which humane tourism resources have taking the largest number and the highest tourism attractive index. 2) There is spatial agglomeration of the attraction of tourism resources in Beijing. The spatial agglomeration degree of leisure tourism resources is the largest, and that of humane tourism resources is the minimum. 3) The distribution of natural tourism resources is more uniform, with multiple density centers of tourism attraction, attractive hotspots mainly locating in the main city; humane tourism resources are concentrated in the main city, and forms the highest attractive density center, the primary and the secondary hot spots being alternatively distributed; leisure tourism resources are concentrated in the main city with the primary hotspots of attraction surrounded by the secondary ones, leaving cold spots in surrounding country areas, and their attractive density center is also in the main city. This paper put forward a evaluation system of tourism attraction based on internet information, which will be a new and convenient approach for tourism attraction research. It will be of some significance to the development of tourism resources.