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出 处:《可持续发展》2024年第11期2795-2802,共8页Sustainable Development
摘 要:随着人们生活水平的不断提高,旅游业呈现出蓬勃发展的态势。越来越多的旅游者在出游时开始追求个性化住宿,民宿产业应运而生。本文以哈尔滨市域为研究区域,利用最邻近指数分析法、核密度分析和多元回归模型等研究方法,分析哈尔滨市域范围内民宿的空间分布特征,并采用回归分析模型对民宿吸引力与民宿的内部影响因素进行研究。结果表明,哈尔滨市市域的民宿呈现“东多西少”的分布情况,同时,哈尔滨市市域的民宿具有临近本科院校、旅游景区的空间依赖特征;哈尔滨市民宿吸引力等级分布呈现中心外围结构;民宿吸引力受内部条件的影响,舒适感是民宿的主要吸引力所在。With the continuous improvement of people’s living standards, the tourism industry is showing a vigorous development trend. More and more tourists are pursuing personalized accommodation while traveling, and the homestay industry has emerged. This article takes Harbin City as the research area and uses research methods such as nearest neighbor index analysis, kernel density analysis, and multiple regression models to analyze the spatial distribution characteristics of homestays within the Harbin City area. Regression analysis models are used to study the attractiveness of homestays and the internal influencing factors of homestays. The results indicate that the distribution of homestays in Harbin City shows a pattern of “more in the east and less in the west”. At the same time, homestays in Harbin City have spatial dependence characteristics near undergraduate colleges and tourist attractions;the distribution of attractiveness levels of homestays in Harbin City presents a central-peripheral structure;the attractiveness of homestays is influenced by internal conditions, and comfort is the main attraction of homestays.
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