{"title":"Construction of Smart Rural Tourism Big Data Platform Based on Kano Model","authors":"Huarong Gan","doi":"10.1109/ISAIEE57420.2022.00134","DOIUrl":null,"url":null,"abstract":"With the rapid development of society and economy, the pace of life of urban residents has accelerated, and the pressure of work has increased. In order to get rid of the shackles of urban steel and concrete, people go to the suburbs or surrounding villages to experience the comfortable life rhythm, healthy ecological environment, and rich rural environment. The psychological appeal of local culture is increasing day by day; although rural tourism has achieved remarkable results in the country in recent years, rural tourism is still in its infancy in general, the level of rural tourism planning and construction is not high, the supporting facilities are not perfect, and the service level is low. This paper aims to study the construction of the smart rural tourism big data platform based on the KANO model. This paper discusses the background and importance of both theory and practice, and summarizes the research concept, research method and research process of this paper through the construction of smart travel platforms at home and abroad. Then, it briefly introduces big data, smart travel, smart travel service platform, related big data technology and science, and summarizes the relationship between smart travel and big data. This paper expounds the development status of rural tourism, constructs KANO model data, and analyzes the position that various attributes should occupy in rural tourism. Experiments have shown that the effectiveness of the system functions in this article is more than 95%, but the user satisfaction in the souvenir mall needs to be improved. The rural tourism data using this article's smart service platform has doubled compared to before use, and the peak season is throughout the year.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAIEE57420.2022.00134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of society and economy, the pace of life of urban residents has accelerated, and the pressure of work has increased. In order to get rid of the shackles of urban steel and concrete, people go to the suburbs or surrounding villages to experience the comfortable life rhythm, healthy ecological environment, and rich rural environment. The psychological appeal of local culture is increasing day by day; although rural tourism has achieved remarkable results in the country in recent years, rural tourism is still in its infancy in general, the level of rural tourism planning and construction is not high, the supporting facilities are not perfect, and the service level is low. This paper aims to study the construction of the smart rural tourism big data platform based on the KANO model. This paper discusses the background and importance of both theory and practice, and summarizes the research concept, research method and research process of this paper through the construction of smart travel platforms at home and abroad. Then, it briefly introduces big data, smart travel, smart travel service platform, related big data technology and science, and summarizes the relationship between smart travel and big data. This paper expounds the development status of rural tourism, constructs KANO model data, and analyzes the position that various attributes should occupy in rural tourism. Experiments have shown that the effectiveness of the system functions in this article is more than 95%, but the user satisfaction in the souvenir mall needs to be improved. The rural tourism data using this article's smart service platform has doubled compared to before use, and the peak season is throughout the year.