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Big data in tourism research: A literature review
Li, Jingjing1; Xu, Lizhi2,3; Tang, Ling1; Wang, Shouyang4,5; Li, Ling1
2018-10-01
Source PublicationTOURISM MANAGEMENT
ISSN0261-5177
Volume68Pages:301-323
AbstractEven 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.
KeywordTourism research Big data Literature review Tourism management Tourist behavior
DOI10.1016/j.tourman.2018.03.009
Language英语
Funding ProjectNational Science Fund for Outstanding Young Scholars (NSFC)[71622011] ; National Natural Science Foundation of China (NSFC)[71301006] ; construction project of Collaborative Innovation Center of e-Tourism of Beijing[822139917160102]
WOS Research AreaEnvironmental Sciences & Ecology ; Social Sciences - Other Topics ; Business & Economics
WOS SubjectEnvironmental Studies ; Hospitality, Leisure, Sport & Tourism ; Management
WOS IDWOS:000435428800027
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/30576
Collection系统科学研究所
Affiliation1.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
Recommended Citation
GB/T 7714
Li, Jingjing,Xu, Lizhi,Tang, Ling,et al. Big data in tourism research: A literature review[J]. TOURISM MANAGEMENT,2018,68:301-323.
APA Li, Jingjing,Xu, Lizhi,Tang, Ling,Wang, Shouyang,&Li, Ling.(2018).Big data in tourism research: A literature review.TOURISM MANAGEMENT,68,301-323.
MLA Li, Jingjing,et al."Big data in tourism research: A literature review".TOURISM MANAGEMENT 68(2018):301-323.
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