摘要
运用6个旅游资源指标,14个社会经济相关指标以及5个生态环境质量指标对关中城市群区域旅游资源进行了综合评价。以关中城市群地区行政单位为研究对象,收集整理了关中城市群区域环境质量指标,基于主成分分析法提取了社会经济相关指标,量化计算了关中城市群区域旅游资源质量、种类和空间结构指标;再采用人工神经网络技术对所得指标进行聚类,运用Matlab建立Kohonen神经网络模型,对关中城市群区域旅游资源进行了综合评价,并根据计算结果将关中城市群区域旅游资源分为3种类型。结果表明,关中城市群区域整体上具有较高的旅游资源开发度,但不同类型地区的旅游资源差异较大。
With six indexes of tourism resource, fourteen main factors related to the social and economic, and five ecological environmental quality indicators, Guanzhong urban agglomeration area tourism resources were comprehensively evaluated. Taking the administrative units in the Guanzhong urban agglomeration area as the object, the Guanzhong urban agglomeration regional environmental quality indicators were collected, social and economic indicators were extracted based on principal component analysis(PCA), as while, the quality, types and spatial structure indexes of Guanzhong urban agglomeration area were quantitatively calculated. All the indexes were clustered by artificial neural network technology. The Kohonen neural network model was established by Matlab to comprehensively evaluate the Guanzhong urban agglomeration area tourism resources. According to the results of model calculation, the Guanzhong urban agglomeration area tourism resources were divided into three types. The results show that the Guanzhong urban agglomeration area tourism resources have a high development degree, but there are differences of different types of regional tourism resources.
出处
《地理空间信息》
2017年第5期71-74,共4页
Geospatial Information
基金
交通运输部科技计划资助项目(2015319G02190)
陕西省教育厅科学研究资助项目(16JK1064)
关键词
旅游资源
环境质量
社会经济
指标
综合评价
tourism resource
environmental quality
social and economy
index
comprehensive evaluation
