旅游
计算机科学
大数据
交易数据
万维网
数据库事务
数据类型
数据仓库
数据科学
数据库
数据挖掘
地理
考古
程序设计语言
作者
Jingjing Li,Lizhi Xu,Ling Tang,Shouyang Wang,Ling Li
标识
DOI:10.1016/j.tourman.2018.03.009
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.
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