社会学习模式下的互联网旅游统计研究  

Internet Tourism Statistics Research Under the Social Learning Mode

作　　者：刘冰洁 赵彦云[1] LIU Bing-jie;ZHAO Yan-yun(School of Statistics,Renmin University of China,Beijing 100872)

机构地区：[1]中国人民大学统计学院,北京100872

出　　处：《资源开发与市场》2021年第12期1526-1530,共5页Resource Development & Market

基　　金：中国人民大学科学研究基金重大规划项目“互联网统计学研究”资助(编号:17XNLG09)。

摘　　要：互联网与旅游的深度融合创造了新的旅游数据要素,对当前的旅游统计体系提出了新的挑战。为探索社会学习模式下的旅游统计,回顾了当前的互联网旅游统计体系,并结合当前旅游发展特点提出了以旅游场景为中心的全面互联网统计体系。结果表明:互联统计、互通统计和互动统计是互联网旅游统计设计的重要思维,最小统计颗粒设计支撑下的互联网旅游统计体系与其他产业统计体系联通,并能够在互联网技术的支撑下实现内在智能化。基于研究结论,提出相关部门应更新旅游产业分类标准和建立社会大数据互联网平台的建议。The deep integration of Internet and tourism had created new data elements,which posed a challenge to the current tourism statistics system.In order to explore tourism statistics under the social learning mode,this paper reviewed the current Internet tourism statistics system,and put forward a comprehensive Internet statistics system centered on tourism scenes combined with the characteristics of current tourism development.The results showed that:Interconnection statistics,interworking statistics and interactive statistics were important thinking in the design of Internet tourism statistics system.The Internet tourism statistics system supported by the minimum statistical particle was connected with other industrial statistics systems,and could realize internal intelligence under the support of Internet technology.This paper put forward the suggestion of relevant units update the classification standards of tourism industry and establish a social big data Internet platform.

关 键 词：互联网统计 全域旅游 旅游统计 社会学习模式 

分 类 号：F590-05[经济管理—旅游管理]