| 山东省乡村旅游景点空间结构及影响因素研究 |
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| 引用本文： | 李淑娟,高琳.山东省乡村旅游景点空间结构及影响因素研究[J].中国生态农业学报,2019,27(10):1492-1501. |
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| 作者姓名： | 李淑娟 高琳 |
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| 作者单位： | 中国海洋大学管理学院 青岛 266000;中国海洋大学海洋发展研究院 青岛 266000,中国海洋大学管理学院 青岛 266000 |
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| 基金项目： | 山东省社科规划项目（18CLYJ59）资助 |
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| 摘 要： | 乡村旅游已成为农村实现产业融合的新型产业形态,为探求其开发和发展的空间结构,以山东省193个乡村旅游景点为研究样本,运用最近邻指数、多距离空间聚类分析和核密度分析等GIS空间分析和计量地理方法,对山东省乡村旅游景点的空间结构及影响因素进行定量研究,旨在为山东省乡村旅游的发展规划提出决策参考。结果显示:1)山东省乡村旅游景点的最近邻指数(R)为0.74,在空间分布上表现为典型的集聚型分布,主要分布于青岛、济南、临沂及枣庄4座城市周围。2)山东省乡村旅游景点热点区和冷点区空间差异明显,在省域尺度下表现出明显的"块状"分布特征。3)山东省乡村旅游景点受交通、区位、社会经济、资源禀赋、地形地貌等多种因素综合作用的影响。基于此,结合山东省乡村旅游发展现状提出两点建议:1)加强鲁东、鲁西、鲁北、鲁中4大片区合作,构建多个"核心—边缘"乡村旅游发展区。2)完善旅游交通网,实现景点之间的有机链接。
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| 关 键 词： | 乡村旅游 空间结构 最近邻指数 核密度分析 山东省 |
| 收稿时间： | 2019/1/14 0:00:00 |
| 修稿时间： | 2019/5/28 0:00:00 |
Spatial structure and influencing factors of countryside tourist attractions in Shandong Province |
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| LI Shujuan and GAO Lin.Spatial structure and influencing factors of countryside tourist attractions in Shandong Province[J].Chinese Journal of Eco-Agriculture,2019,27(10):1492-1501. |
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| Authors: | LI Shujuan and GAO Lin |
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| Institution: | Department of Tourism Management College, Ocean University of China, Qingdao 266000, China;Ocean Development Research Institute, Ocean University of China, Qingdao 266000, China and Department of Tourism Management College, Ocean University of China, Qingdao 266000, China |
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| Abstract: | Countryside tourism has become a new type of industry. In order to explore their spatial distribution pattern and characteristics, 193 countryside tourist attractions in Shandong Province were studies. The spatial distribution patterns of the countryside tourist attractions were analyzed using Geographic Information System (GIS) spatial analysis methods, such as the nearest neighbor index, multi-distance spatial clustering analysis, Ripley''s function and kernel density analysis. Considering the overall and local advantages and disadvantages of multi-scale density analysis, Ripley''s function was used to determine the optimal search radius for density, cold point and hot spot analysis. Shandong Province countryside tourist attractions had a nearest neighbor index (R) of 0.74, which indicates a typical spatial gathering distribution, mainly distributed in Qingdao, Jinan, Linyi, and Zaozhuang. The spatial differences in hot and cold areas were clearly detected and at the provincial level, showed a significant "block" distribution. Shandong Province countryside tourist attractions were influenced by traffic conditions, location, socioeconomic level, tourism resource endowment, topographical features and other factors. Based on these results, we put forward two proposals combined for the development of Shandong countryside tourism. Firstly, we propose the strengthening of the cooperation between the four regions of eastern Shandong, western Shandong, northern Shandong, and central Shandong to build multiple "core-edge" countryside tourism development areas. Secondly, we propose improvements in the tourist transportation network and the realization of links between different countryside tourist attractions. |
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| Keywords: | Countryside tourist Spatial structure Nearest neighbor index Kernel density analysis Shandong Province |
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