文献类型：期刊文献

英文题名：Big data in tourism research: A literature review

作者：Li, Jingjing[1];Xu, Lizhi[2,3];Tang, Ling[1];Wang, Shouyang[4,5];Li, Ling[1]

第一作者：Li, Jingjing

通讯作者：Tang, L[1]

机构：[1]Beihang Univ, Sch Econ & Management, 37 Xueyuan Rd, Beijing 100191, Peoples R China;[2]Beijing Union Univ, Collaborat Innovat Ctr eTourism, Beijing 100101, Peoples R China;[3]Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China;[4]Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China;[5]Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China

第一机构：Beihang Univ, Sch Econ & Management, 37 Xueyuan Rd, Beijing 100191, Peoples R China

通讯机构：[1]corresponding author), Beihang Univ, Sch Econ & Management, 37 Xueyuan Rd, Beijing 100191, Peoples R China.

年份：2018

卷号：68

起止页码：301-323

外文期刊名：TOURISM MANAGEMENT

收录：;Scopus(收录号：2-s2.0-85045054013);WOS:【SSCI(收录号:WOS:000435428800027)】；

基金：The authors would like to thank Bob McKercher, Chris Ryan and the three anonymous reviewers for helpful comments to earlier versions of the article. This work is supported by grants from the National Science Fund for Outstanding Young Scholars (NSFC No. 71622011), the National Natural Science Foundation of China (NSFC No. 71301006), and the construction project of Collaborative Innovation Center of e-Tourism of Beijing (822139917160102).

语种：英文

外文关键词：Tourism research; Big data; Literature review; Tourism management; Tourist behavior

摘要：Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. This paper might be the first attempt to present a comprehensive literature review on different types of big data in tourism research. By data sources, the tourism-related big data fall into three primary categories: UGC data (generated by users), including online textual data and online photo data; device data (by devices), including GPS data, mobile roaming data, Bluetooth data, etc.; transaction data (by operations), including web search data, webpage visiting data, online booking data, etc. Carrying different information, different data types address different tourism issues. For each type, a systematical analysis is conducted from the perspectives of research focuses, data characteristics, analytic techniques, major challenges and further directions. This survey facilitates a thorough understanding of this sunrise research and offers valuable insights into its future prospects. (C) 2018 Elsevier Ltd. All rights reserved.