| 旅游城市餐饮业空间布局特征--以拉萨市为例 |
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| 引用本文： | 李云云,刘海洋,王灵恩.旅游城市餐饮业空间布局特征--以拉萨市为例[J].资源与生态学报（英文版）,2020,11(2):191-205. |
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| 作者姓名： | 李云云 刘海洋 王灵恩 |
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| 作者单位： | 中国科学院地理科学与资源研究所;中国科学院大学;宾夕法尼亚大学兽医学院动物健康和生产力研究中心.美国宾夕法尼亚州费城19384;西北师范大学地理与环境科学学院 |
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| 基金项目： | The National Natural Science Foundation of China(41701620);The Industrial Fusion Technology Demonstration Base for Rural Revitalization(SCKJ004);The Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(2019QZKK1002). |
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| 摘 要： | 受城市功能定位、旅游消费驱动等因素影响,旅游城市餐饮产业空间布局具有其自身特征。通过对互联网电子地图POI数据的挖掘,并结合ArcGIS最近邻分析、标准差椭圆、核密度分析和缓冲区分析工具,本文分析了高原旅游城市拉萨市主城区餐饮业空间分布格局特征及其影响因素(基于道路交通、旅游资源和人口视角)。研究发现拉萨市主城区餐饮业空间分布总体呈现集聚特征,主要集中在交通发达和旅游资源密集区周边地区;常住人口集聚区域餐饮点同样集中布局,餐饮点密集区与实时人口密集区高度重叠。针对拉萨市城市空间结构、功能定位和旅游发展,文章进一步提出拉萨市餐饮业空间布局优化措施。
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| 关 键 词： | 餐饮产业 空间布局 旅游城市 POI 拉萨市 |
| 收稿时间： | 2019-09-22 |
Spatial Distribution Pattern of the Catering Industry in A Tourist City: Taking Lhasa City as A Case |
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| LI Yunyun,LIU Haiyang,WANG Ling-en.Spatial Distribution Pattern of the Catering Industry in A Tourist City: Taking Lhasa City as A Case[J].Journal of Resources and Ecology,2020,11(2):191-205. |
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| Authors: | LI Yunyun LIU Haiyang WANG Ling-en |
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| Institution: | 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. Center for Animal Health and Productivity, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, Pennsylvania 19348, USA;4. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China |
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| Abstract: | Affected by factors such as the city’s functional orientation and tourism consumption, the spatial layout of the catering industry in a tourism city has its own distinctive characteristics. The spatial distribution characteristics of the catering industry and the factors impacting it(from the perspectives of transportation, tourism resources and population) in the main city area of Lhasa, Tibet were analysed through point of interest data mining, average nearest neighbour analysis, a standard deviational ellipse, kernel density estimation, and buffer analysis in ArcGIS software. As a result, the spatial distribution pattern showed catering providers are mainly aggregated in the vicinity of areas with either developed transportation or rich tourism resources. The resident population has an important but inconclusive influence on the distribution, while the distribution of its concentration is highly consistent with that of the instant population. Considering the spatial structure, functional orientation, and tourism development of the area, measures are proposed for optimizing the spatial layout of the catering industry in this tourism-heavy plateau city. |
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| Keywords: | catering industry spatial distribution tourism city POI Lhasa |
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