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长三角城市旅游业空间集聚研究
刘金伟, 王承云, 孙飞翔
上海师范大学
摘要:
根据空间自相关理论分析探讨了旅游业的空间相互作用关系和格局,运用Geo da软件对长三角地区16城市的旅游业发展水平做了定量研究.国内旅游和入境旅游在人次和收入上的全局自相关水平均不显著,Moran′s值较低,未通过Z统计检验;旅游业发展不存在显著集聚和分异;旅游业发展水平因城市等级差异呈现相应随机分布格局.城市象限分布图反映出城市等级与旅游业水平对应关系,上海、杭州、南京、苏州是各指标的高值中心,与其他城市的相对低值构成随机分布空间格局,高值城市周边城镇是其服务和旅游辐射区域,旅游业城际间自相关水平开始下降,呈现出网络一体化发展态势.
关键词:  旅游业  空间自相关  长三角地区  城市
DOI:
分类号:
基金项目:国家自然科学基金(40971068); 上海市教委科研创新重点项目(13ZZ106)
Research on the spatial agglomeration of urban tourism in Yangtze River delta
LIU Jinwei, WANG Chengyun, SUN Feixiang
College of Tourism,Shanghai Normal University
Abstract:
This article on the basis of spatial autocorrelation theory analyzed the interaction spatial relationship and pattern, utilizing Geo da software made quantitative research on the tourism spatial autocorrelation level of 16 cities in Yangtze River delta The results indicate that Domestic tourism and the inbound tourism had a low Moran′s value and field to get through the statistic significant test, showing the non-significant global spatial autocorrelation The progress of tourism without notable gather and differentiation trait The level of tourism emerging random distribution pattern due to the standard of city The cities quadrant chart reflect the congruent relationship between urban hierarchy and tourism performance, Shanghai, Hangzhou, Nanjing and Suzhou are the high value center, along with surrounding cities which obtain low value make up the random spatial situation, the towns encircle the high-value urban are the service and radiation zone of the upper city; the level of the spatial autocorrelation among cities decline from 2005 to 2010, tourism entering the network integration developing stage.
Key words:  tourism  spatial autocorrelation  Yangtze River delta  city