使用搜索数据检测目的地的旅游景点潜在的合作网络
Xuankai Ma1,2,3, Fang Han2,3, Tian Wang2,3
1College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, China.
PloS one
|February 7, 2024
概括
这项研究揭示了旅游景点如何通过分析需求模式进行合作. 它确定了核心,中间和外围的景点,以促进区域旅游和增强游客体验.
科学领域:
- 旅游研究 旅游研究
- 网络分析 网络分析
- 数据挖掘是一种数据挖掘.
背景情况:
- 区域旅游需要融合和可持续发展.
- 确定旅游景点之间的合作机会对于目的地生态系统至关重要.
研究的目的:
- 确定一个地区内的旅游景点之间的合作机会.
- 通过协会规则挖掘,复杂网络分析和搜索索引数据开发一种揭示合作模式的方法.
主要方法:
- 使用协会规则挖掘和复杂网络分析.
- 使用搜索索引数据作为动态数据源.
- 根据需求尺度将旅游景点分为核心,中间和边缘社区.
主要成果:
- 发现了一个由旅游需求一致性和外部体验差异驱动的自我组织的网络结构.
- 确定了核心,中介和边缘社区之间的合作前景的有针对性的连续性.
- 核心景点催化需求,中间景点连接社区,外围景点从协会中受益.
结论:
- 这些发现提供了关于旅游景点之间合作网络的动态和机制的见解.
- 分析框架可以实时监测旅游需求和流动趋势.
- 指导旅游流量的宏观控制,以改善旅游体验并促进协调的区域间发展.
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