基于POI数据的甘省旅游景点的空间分布模式和驱动机制
Ruijuan Peng1,2, Wanqianrong Gao1
1Tourism College, Northwest Normal University, Lanzhou, Gansu, China.
PloS one
|October 5, 2023
概括
甘省拥有各种各样的旅游景点,各种空间模式. 自然环境,运输,政策和社会经济因素积极影响它们的分布,形成多核心集群.
科学领域:
- 旅游地理 旅游地理
- 空间分析是一种空间分析.
- 区域科学 区域科学
背景情况:
- 甘省拥有丰富多样的旅游景点.
- 了解它们的空间分布对于区域发展至关重要.
研究的目的:
- 分析甘省旅游景点的空间分布模式.
- 调查这些模式背后的驱动机制.
主要方法:
- 从2021年开始使用的兴趣点 (POI) 数据.
- 采用莫兰的I和内核密度分析用于空间模式.
- 应用空间自回归建模和OLS用于驱动机制.
主要成果:
- 旅游景点表现出聚集和分散,中部/西北部地区的密度更高.
- 确定了一个多核心的分散分布模式,东南部有8个核心聚合区域.
- 自然环境,交通,国家政策和社会经济因素对分配产生积极影响.
结论:
- 甘的旅游景点形成了不同的空间集群,受到多种因素的影响.
- 有针对性的发展战略可以利用这些因素来优化旅游业的增长.
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