浙江省入境旅游流、旅游景区、星级酒店空间错位演化分析

发布时间：2018-05-16 10:12

本文选题：重力模型 + 空间错位指数模型　；参考：《华中师范大学学报(自然科学版)》2016年01期

【摘要】：运用重力模型和空间错位指数模型分别从宏观和微观两个方面对浙江省及11个地级市近10a来的入境旅游流、旅游景区、星级酒店的空间错位进行分析.研究表明:近10a来,从宏观上看:1)浙江省入境旅游流,旅游景区、星级酒店的重心均集中在绍兴市;2)三者之间的空间错位指数均不高于0.4,空间错位程度不明显,其中星级酒店-入境旅游流的空间匹配性最好,旅游景区-入境旅游流匹配性最弱;3)2007年是旅游景区与入境旅游流的空间错位指数转折点,2007年之后其匹配程度逐渐趋良好.从微观上看:1)整体而言,湖州的入境旅游流、旅游景区、星级酒店空间匹配性最好,而杭州最弱;2)2007年是部分地市在旅游景区-星级酒店和旅游景区-入境旅游流匹配度上的转折点,2007年之后这些地市的数值整体呈现下降的趋势,匹配逐渐趋于良好.
[Abstract]:Using gravity model and spatial dislocation index model, this paper analyzes the spatial dislocation of inbound tourism flows, tourist attractions and star hotels in Zhejiang Province and 11 prefectural cities in recent 10 years from macro and micro aspects. The results show that in the past 10 years, the spatial dislocation index between the inbound tourism flow, tourist attractions and star hotels in Zhejiang Province is not higher than 0.4, and the degree of spatial dislocation is not obvious. The spatial matching between star hotels and inbound tourist flows is the best, and the matching between tourist scenic spots and inbound tourist flows is the weakest. 2007 is the turning point of spatial dislocation index between tourist spots and inbound tourist flows, and the matching degree gradually becomes better after 2007. From a microscopic point of view, as a whole, Huzhou has the best matching space for inbound tourism flows, tourist attractions, and star-rated hotels. However, 2007 is the turning point in the matching degree of tourist scenic spots, star hotels and tourist scenic spots. After 2007, the numerical value of these cities shows a downward trend, and the matching gradually tends to be good.
【作者单位】：华中师范大学城市与环境科学学院;中国旅游研究院武汉分院;
【基金】：教育部人文社会科学系列发展报告基金项目(11JBGP041) 中央高校基本科研业务费基金项目(CCNU13FZ002)
【分类号】：F592.7

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