摘要
研学旅行的网络搜索体现了网民对研学旅行的现实关注和潜在需求情况。文章以2016~2020年研学旅行的百度搜索数据为基础,使用地理统计分析方法对中国内地研学旅行潜在需求的时空特征进行分析,并通过地理探测器探索研学旅行潜在需求时空分异的影响因子。研究发现:研学旅行的网络搜索量在时间分布上具有淡旺季差异,5月、8月和11月是研学旅行的网络搜索高峰;研学旅行网络搜索量在不同区域间的差异明显,但呈现均衡分散分布的变化趋势;教育经费投入、经济发展水平、在校中小学生规模、居民购买力、互联网发达程度是影响研学旅行网络搜索的主要因素。
The online search for educational excursions reflects the actual concerns and potential demands of netizens for educational excursions.Based on the Baidu search data of educational excursions from 2016 to 2020,this paper uses geostatistical analysis methods to analyze the temporal and spatial characteristics of the potential demand for educational excursions in Chinese mainland, and uses geographic detectors to explore the impact factors of the temporal and spatial differentiation of potential demand for educational excursions.It is found that the online search volume of educational excursions has differences in the time distribution of low and peak seasons, and May, August and November are the peaks of online search for educational excursions.The online search volume of educational excursions has obvious differences between different regions, but it shows a trend of balanced and scattered distribution.Educational funding, level of economic development, size of primary and secondary school students, residents’ purchasing power, and the degree of Internet development are the main factors that affect online search for educational excursions.
作者
冯晓兵
FENG Xiao-bing(College of Tourism,Leshan Normal University,Leshan 614000,Sichuan,China)
出处
《云南地理环境研究》
2022年第2期11-18,共8页
Yunnan Geographic Environment Research
基金
四川省社会科学规划项目“信息流视角下旅游空间网络结构及溢出效应研究”(SC21C018)
四川省哲学社会科学重点研究基地项目“旅游新业态网络关注时空演化特征分析”(LY20-02)。
关键词
百度指数
研学旅行
潜在需求
时空特征
Baidu index
educational excursions
potential demand
space-time characteristics
