基于UGC数据的传统村落形象感知研究——以河南丁李湾村为例

The image perception of traditional villages based on UGC data——Case of Dingliwan Village in Henan Province

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摘要通过爬取河南丁李湾景区的网络游记和网络点评,创建User Generated Content(UGC)数据库,利用大数据内容挖掘系统(ROST Content Mining),对文本数据进行质性分析,探究传统村落丁李湾游客的感知偏好及特征,得出结论:(1)游客对丁李湾景区的感知倾向总体偏向积极,但对少部分开发建设仍具有争议;(2)丁李湾旅游开发建设格局呈现强观光、弱文化的特点,难以引导游客对传统文化的保护和传承;(3)丁李湾景区的旅游基础设施存在安全隐患.基于研究结论,本文提出了开展传统村落丁李湾形象塑造,推进传统文化遗产活化;充分利用绿色生态农业,构建传统生态文明体系;加强基础设施安全性监测,实现传统村落持续发展等三大方面的政策建议. The UGC(User Generated Content)database was created by crawling the online travel notes and online reviews of Dingliwan Scenic Area.Then,the Rost Content Mining software was used to qualitatively analyze the text data to explore the perceived preferences.Finally,we found characteristics of tourists in the traditional village Dingliwan.At first,tourists’perception of Dingliwan Scenic Spot is generally positive,but there are still a few disputes about development and construction;Next,Dingliwan’s tourism development and construction pattern are characterized by strong tourism and weak culture,which makes it difficult to guide tourists to traditional culture.Then,the infrastructure of Dingliwan Scenic Spot has potential security risks.It is believed that to improve the image of the traditional village Dingliwan.And governments should vigorously develop the cultural tourism industry.Meanwhile,they should promote the activation of traditional cultural heritage.And they would make full use of green ecological agriculture to continue the traditional ecological civilization system.Governments should focus on monitoring infrastructure safety.To achieve sustainable development of traditional villages.

作者严萌李学鑫姜璐 YAN Meng;LI Xue-xin;JIANG Lu(College of Geographical Science,Qinghai Normal University,Xining 810016,China;College of Surveying and Planning,Shangqiu Normal University,Shangqiu 476000,China;Academy of Plateau Science and Sustainability,Qinghai Province-Beijing Normal University,Xining 810016,China)

机构地区青海师范大学地理科学学院商丘师范学院测绘与规划学院青海省人民政府—北京师范大学高原科学与可持续发展研究院

出处《青海师范大学学报（自然科学版）》 2022年第3期27-37,共11页 Journal of Qinghai Normal University(Natural Science Edition)

基金青海省自然科学基金项目(2022-ZJ-937Q) 广东省科学院发展专项资金项目(2021GDASYL-20210103002)

关键词形象感知传统村落用户生成内容大数据挖掘丁李湾村 image perception traditional village user generated content rost content mining Dingliwan Village

分类号 F327 [经济管理—产业经济] F592.7 [经济管理—旅游管理]

作者简介严萌(2000-),女,河南信阳人,硕士生.研究方向:区域可持续发展;通信作者:姜璐(1989-),女,青海海东人,博士,教授.研究方向:能源地理与区域可持续发展研究.