【摘要】 本研究以湖南省48个乡村旅游重点村为对象，依托携程网数据构建乡村旅游热点识别方法，采用趋势面分析、核密度分析、热点分析等探究热度空间分布特征，借助地理探测器揭示影响因素。结果表明：(1)湖南省乡村旅游重点村的区域热度分布不均衡，整体呈现“南高北低、西高东低”的空间格局，空间结构呈“核心-次核心-边缘”特征。(2)其热度空间差异受交通条件、政策支持、旅游资源禀赋、生态环境质量和经济发展水平共同影响，各因素影响程度差异明显，交通条件和政策支持影响最为显著，经济发展水平驱动作用较弱。基于网络数据的乡村旅游热点识别方法为定量研究提供新视角，对资源开发和区域合作具有重要的指导意义。更多还原

【Abstract】 This paper focuses on 48 key rural tourism villages in Hunan Province,and employs Ctrip data to develop a method for identifying rural tourism hotspots.Then it explores the spatial distribution characteristics,such as trend surface analysis,kernel density analysis,and popularity analysis,and uses geographic detector to reveal the influencing factors.The results show that:(1)the regional popularity distribution among Hunan’s key rural tourism villages is uneven,exhibiting a spatial pattern characterized by "high in the south and low in the north,and high in the west and low in the east",with a spatial structure displaying the characteristics of "core-subcore-periphery".(2) The spatial variations in popularity are jointly influenced by transport conditions,policy support,tourism resource endowment,ecological environment quality,and economic development levels.The impact of each factor varies significantly,with transport conditions and policy support exerting the most significant influence,while economic development levels demonstrate a weaker driving effect.The popularity identification methods for rural tourism based on network data provides a new perspective for quantitative research,and also has important guiding significance for re source development and regional cooperation.更多还原