{"title":"基于互联网大数据分析的旅游目的地形象设计策略研究","authors":"H. Qiuyan, Li Xiao, Shang Zhangyang","doi":"10.1109/ICIDDT52279.2020.00111","DOIUrl":null,"url":null,"abstract":"Anhui characteristic village has natural and unique tourism resources, but the design of rural image lacks rational data support, this paper uses the Internet big data extract the key factors affecting the negative emotional evaluation of tourists, and on the basis of a comprehensive understanding of the current situation of scenic spots, through the analysis of the local context, context and other characteristics, expound the motivation of tourism consumption demand, put forward tourism image design strategy, for the development of rural tourism, drive local economic innovation and construction to provide an important decision-making reference.","PeriodicalId":6781,"journal":{"name":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","volume":"30 1","pages":"558-562"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the image design strategy of tourist destination based on Internet big data anlysis\",\"authors\":\"H. Qiuyan, Li Xiao, Shang Zhangyang\",\"doi\":\"10.1109/ICIDDT52279.2020.00111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Anhui characteristic village has natural and unique tourism resources, but the design of rural image lacks rational data support, this paper uses the Internet big data extract the key factors affecting the negative emotional evaluation of tourists, and on the basis of a comprehensive understanding of the current situation of scenic spots, through the analysis of the local context, context and other characteristics, expound the motivation of tourism consumption demand, put forward tourism image design strategy, for the development of rural tourism, drive local economic innovation and construction to provide an important decision-making reference.\",\"PeriodicalId\":6781,\"journal\":{\"name\":\"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)\",\"volume\":\"30 1\",\"pages\":\"558-562\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIDDT52279.2020.00111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIDDT52279.2020.00111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the image design strategy of tourist destination based on Internet big data anlysis
Anhui characteristic village has natural and unique tourism resources, but the design of rural image lacks rational data support, this paper uses the Internet big data extract the key factors affecting the negative emotional evaluation of tourists, and on the basis of a comprehensive understanding of the current situation of scenic spots, through the analysis of the local context, context and other characteristics, expound the motivation of tourism consumption demand, put forward tourism image design strategy, for the development of rural tourism, drive local economic innovation and construction to provide an important decision-making reference.