摘要
运用空间相互作用理论中的威尔逊模型,结合GIS中网络分析技术和空间自相关分析对安徽省17个城市的旅游空间关联进行分析。结果发现,安徽省的全局旅游关联显著性水平不高,全省旅游空间关联度很低;而局部旅游空间关联在黄山和池州形成热点区,在皖北和皖中的巢湖、滁州形成冷点区,其他城市的旅游空间关联呈现明显的差异性。计算结果表明,对旅游空间关联影响最大的指标是城市旅游供给量,因此增强城市的旅游供给水平对增强旅游吸引力具有决定性的意义。
This paper based on the spatial interaction theory by using the Wilson model and GIS network analysis,four ranks of tourism spatial interaction strength could be got.Then the global tourism spatial association and four types of tourism spatial associations were obtained by spatial autocorrelation.The calculations of global spatial autocorrelation indicated that the significance level of global tourism spatial association was low,and spatial differences remained in the tourism of Anhui Province.According to local spatial autocorrelation,the authors found that the south was a hot tourist region,but the north formed a cold tourist region and the middle presented most differences.On the basis of all the analyses,the authors concluded that tourist supply abilities of cities determined the tourism advances and tourism spatial association.
出处
《资源开发与市场》
CAS
CSSCI
2012年第4期310-313,共4页
Resource Development & Market
基金
国家自然科学基金项目(编号:40801054)
安徽省哲学社会科学规划项目(编号:AHSKF09-10D41)
安徽省教育厅人文社科重点项目(编号:2009sk070zd)
