中国旅游大数据研究:二十年回顾与展望

Tourism Big Data Research in China: A Twenty-Year Review and Prospects

目前国内旅游大数据文献侧重于对具体问题的审视,忽视了对现有应用状况的回顾及所存在问题的反思。本文选取截至2021年1月发表在国内权威期刊上的358篇文献,根据数据来源将旅游大数据划分成用户生成内容数据、设备数据及事务型数据三大类,探索旅游大数据领域的宏观研究历程,之后分别从研究主题、数据特征和分析技术3个维度对每一类数据类型的实证研究进行全面梳理。研究发现,目前国内旅游大数据研究已取得一定进展,在研究主题、数据特征和分析技术上都有所创新,但不同类型数据的研究分布并不均衡,未来可以从研究主题、数据获取途径及分析技术等角度进一步深化。

Most of the existing research on tourism big data in China has focused on identifying and analyzing specific problems in the tourism industry and lacks a critical evaluation of contemporary,state-of-the-art studies on big data in tourism.This paper examines empirical studies of big data in tourism that have been published in the Chinese language,reviewing 358 journal papers published in prestigious Chinese academic publications on tourism as of January 2021.In these studies,three types of big data are used:UGC data,device data,and transaction data.Under each data type,in-depth investigations of the study’s goals,data features,and analytical approaches are undertaken.While tourism big data research in China has taken significant strides in study topics,data collection,and analytic methods,the distribution of research on various forms of data is as yet uneven.There is,therefore,room for improvement in study topics,data collection methods,and analysis approaches.