摘要
研究以北京市28个传统村落为对象,通过爬取相关互联网文旅大数据,运用旅游消费者行为理论,依次从消费者的动机行为、吃住行购等体验行为、消费者评价行为、消费者时空行为等方面,针对性地开展内容分析、聚集度分析等,全面揭示北京传统村落游客的行为画像。总体来看,北京传统村落的整体旅游体验较好,但发展水平差异较大,呈现“个别有精品,部分有亮点,整体影响力较弱”的文旅供给格局,亟待提升整体水平。同时,基于游客反馈的互联网大数据能够较为合理地揭示传统村落旅游的内在特征和问题,在当下村庄旅游数据较难获取的情况下具有一定的创新性。
The study takes 28 traditional villages in Beijing as the object,through crawling the relevant Internet cultural tourism big data,using the theory of tourism consumer behavior,in turn from the consumer's motivation behavior,experience behavior such as eating,living,traveling and purchasing,consumer evaluation behavior,consumer space-time behavior and other aspects,targeted content analysis,aggregation analysis,etc.,comprehensively reveals the behavior portraits of tourists in the traditional villages of Beijing.Generally speaking,the overall tourism experience of the traditional villages of Beijing is good,but the development level is quite different,showing a pattern of cultural tourism supply with'individual high-quality products,some bright spots and weak overall influence',which urgently needs to be improved.At the same time,the Internet big data based on tourist feedback can reasonably reveal the inherent characteristics and problems of traditional villages,which is innovative in the current situation that village tourism data is difficult to obtain.
作者
宋文杰
刘娟
田家兴
权可可
SONG Wenjie;LIU Juan;TIAN Jiaxing;QUAN Keke
出处
《小城镇建设》
2022年第6期110-118,共9页
DEVELOPMENT OF SMALL CITIES & TOWNS
关键词
传统村落
大数据
文化旅游
内容分析
北京市
traditional village
big data
cultural tourism
content analysis
Beijing
