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不同评价体系下的成都乡村旅游地空间格局——基于官方评价与电子社区的对比 被引量:3

The Spatial Pattern of Chengdu Rural Tourism Attractions under Different Evaluation Systems——Based on the Comparison of Official Assessments and Electronic Community
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摘要 已有研究多关注现实空间中的乡村旅游地空间格局,本文则尝试利用互联网信息研究官方期望和公众认知状态下的乡村旅游地空间格局。设计了基于官方评价和电子社区信息的两种评价体系,借助互联网相关信息构建评价指标,计算出不同的综合权重值,用于表征官方与公众对乡村旅游地空间格局的期望和认知。选取成都市106个乡村旅游地为样本,运用加权标准差椭圆和空间自相关的方法将官方评价和电子社区两种评价体系下的乡村旅游地空间格局进行识别、探测和对比研究。结果表明官方期望与公众认知状态下的成都乡村旅游地空间格局既有共性也有明显差异。丰富了信息时代旅游地理学的研究理论和视角。 The researches before mostly attach great importance to the spatial pattern of rural tourism attractions in real space. This paper will try to take advantage of the Internet information to study the spatial pattern of rural tourism attractions on the eondi- Lion of official expectations and public perceptions. Two kinds of evaluation systems are designed based on the official assessments and the information of electronic community. Evaluating indicators are built up with the help of the related information on the Inter- net and the different comprehensive weighted values are worked out. All of these above are designed to show the official and pub- lie expectations and perceptions to the spatial patterns of rural tourism attractions. 106 rural tourism attractions in Chengdu are selected as the sample. The spatial pattern of rural tourism attrac- tions under the official evaluating system and the electronic com- munity evaluating system will be identified, detected and studied contrastively by applying the related methods of weighted standard deviational ellipse and spatial autocorrelation to calculations. The results show that the spatial pattern of Chengdu rural tourism attractions has both the commonness and obvious differentiation onthe condition of official expectations and public perceptions. This paper will enrich the research theories and view angles of Tourism Geography in this information age.
出处 《国土与自然资源研究》 2013年第2期70-74,共5页 Territory & Natural Resources Study
基金 国家自然科学基金(40701137) 河北省高校重点学科建设项目资助
关键词 乡村旅游地 官方评价 电子社区 空间格局 成都 rural tourism attractions official assessments electronic community spatial pattern Chengdu
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