红色文化研学基地网络关注度时空分异特征及影响因素研究
Research on the Spatiotemporal Differentiation Characteristics and Influencing Factors of Network Attention in Red Culture Research Bases

红色旅游同时兼具旅游经济价值和红色基因两层特质，成为旅游业的重要发展方向之一。本文通过长三角地区、京津冀地区、陕甘宁地区国家级红色研学旅游基地的网络关注度数据，运用数理统计法分析其网络关注度的时空分异特征及影响网络关注度的因素，结果显示：从时间变化特征来看，春夏秋为旺季，冬季为淡季；从节假日来看，网络关注度呈现“节前上升，节中下降又回升，节后逐渐与节前一致”的趋势；从年际来看，2019年年末新冠疫情导致研学旅行发展停滞不前，2021年以后，研学旅行发展回温，并缓慢上升。从空间变化特征来看，网络关注度空间分布差异大，空间结构不均衡；交通因素对红色研学基地网络关注度的相关性最高，旅游发展水平相关性最低。基于此，提出应进行地区旅游交通完善；刺激淡季出游；红色文化研学基地宣传营销等建议。
Red tourism has both tourism economic value and red gene characteristics, and has become one of the important development directions of the tourism industry. This article uses mathematical statistics methods to analyze the spatiotemporal differentiation characteristics of network attention and the factors that affect online attention through the internet attention data of the national red study and tourism bases in the Yangtze River Delta region, Beijing-Tianjin-Hebei region, and Shaanxi-Gansu-Ningxia region. The results display: From the perspective of time change characteristics, spring, summer, and autumn are the peak seasons, and winter is the off-season. From the perspective of holidays, network attention shows a trend of “rising before the holiday, falling and then rising during the holiday, and gradually becoming the same as before the holiday”. From an annual perspective, the COVID-19 epidemic at the end of 2019 caused the development of study tours to stagnate. After 2021, the development of study tours picked up and slowly increased; from the perspective of spatial change characteristics, the spatial distribution of network attention varies greatly, and the spatial structure is unbalanced; transportation factors have the highest correlation with attention to the red study base network, while tourism development levels have the lowest correlation. Based on this, suggestions are put forward to improve regional tourism transportation, stimulate off-season travel, and promote and market the red cultural research base.