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引用本文:周伟伟,胡春丽,荣培君.秦岭陕西段乡村民宿旅游空间分布及影响因素研究[J].中国农业资源与区划,2024,45(4):235~246
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秦岭陕西段乡村民宿旅游空间分布及影响因素研究
周伟伟1,胡春丽2,荣培君3
1.西安翻译学院,陕西西安 710105;2.郑州科技学院,河南郑州 450052;3.河南财经政法大学,郑州 450052
摘要:
目的 乡村民宿在快速发展下已成为国内外游客体验中国乡村文化的热门选择,成为促进区域旅游地高质量发展的新动力。方法 文章选取旅游资源丰富的秦岭陕西段乡村民宿作为研究内容,通过携程民宿、美团民宿、去哪儿民宿等多种渠道,统计出秦岭陕西段乡村民宿312处,利用百度地图坐标拾取工具获取民宿点经纬度地理信息,结合空间分析方法探究此区域的民宿空间分布特征与影响因素。结果 (1)秦岭陕西段乡村民宿空间分布呈现“全局离散、局部聚集”的特征,其中西安长安区、蓝田县、商洛柞水县、宝鸡太白山区域、渭南华山区域分布较为密集,其他县区分布较为稀疏。长安区和蓝田县的空间集聚现象相对均衡且连片发展广布。(2)乡村民宿集聚分布受旅游政策、人口因素、经济水平、交通条件、旅游资源等因素的影响,秦岭陕西段乡村民宿与交通条件、水系分布具有较强的依赖性。结论 秦岭陕西段乡村民宿旅游发展应采取以下措施:坚持生态保护、改善交通条件、提升美丽乡村水系规划建设、加强乡村民宿与秦岭人文自然资源的联动、产业转型升级。
关键词:  乡村民宿  秦岭陕西段  空间分布  GIS  影响因素
DOI:10.7621/cjarrp.1005-9121.20240419
分类号:F592.7
基金项目:国家社科基金项目“文旅深度融合背景下文化遗产价值链活化与文化基因传承研究”(21BGL262);西安市社会科学规划基金重点项目“双循环新格局下西安装备制造业转型升级的机遇风险预判、能力测度及发展路径研究”(JX126);河南省科技厅软科学一般项目“供需协同视域下河南文旅融合度测评与优化路径研究”(232400411040);西安翻译学院校级科研项目“后疫情时期秦岭北麓西安段乡村旅游高质量发展研究” (22B15)
RESEARCH ON THE SPATIAL DISTRIBUTION AND INFLUENCING FACTORS OF RURAL HOMESTAY TOURISM IN THE QINLING MOUNTAINS SHAANXI SECTION
Zhou Weiwei1, Hu Chunli2, Rong Peijun3
1.Xi'an FanYi University, Xi'an 710105, Shaanxi, China;2.Zhengzhou Institute of Science and Technology, Zhengzhou 450052, Henan, China;3.Henan University of Economics and Law, Zhengzhou 450052, Henan, China
Abstract:
Rural homestays have become a popular choice for domestic and foreign tourists to experience Chinese rural culture, and have become a new driving force for promoting high-quality development of regional tourist destinations. The rich tourism resources in the Shaanxi section of the Qinling Mountains were selected as the research area, and through various channels such as Ctrip Homestay, Meituan Homestay, and Qunar Homestay, 312 rural homestays in the Shaanxi section of the Qinling Mountains were counted, and the geographic coordinates of the homestay locations were obtained by using the Baidu Maps coordinate picking tool, then spatial analysis methods were used to explore the spatial distribution characteristics and influencing factors of rural homestays in this region. The results were listed as follows. (1) Rural homestays in the Shaanxi section of the Qinling Mountains showed a significant spatial aggregation characteristic of "global dispersion and local aggregation" in their spatial distribution. Among them, the areas of Chang'an district in Xi'an, Lantian county, Zhashui county in Shangluo, Taibai Mountain area in Baoji, and Huashan area in Weinan were relatively densely distributed, while other counties and districts were relatively sparse. The spatial aggregation phenomenon in Chang'an district and Lantian county was relatively balanced and widely developed. (2) The distribution of rural homestay clusters was influenced by factors such as tourism policies, population, economic level, transportation conditions, and tourism resources, and the rural homestays in the Shaanxi section of the Qinling Mountains had a strong dependence on transportation conditions and the distribution of water systems. Therefore, the development of rural homestays in the Shaanxi section of the Qinling Mountains should take the following measures: Persisting in ecological protection, improving transportation conditions, enhancing the planning and construction of beautiful rural water systems, strengthening the linkage between rural homestays and the cultural and natural resources of the Qinling Mountains, and promoting industrial transformation and upgrading.
Key words:  rural homestay  Qinling Mountains  spatial distribution  GIS  influencing factors
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