中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach

文献类型:期刊论文

作者Xie, Gang1; Qian, Yatong1,2; Wang, Shouyang1
刊名TOURISM MANAGEMENT
出版日期2021-02-01
卷号82页码:10
关键词Cruise Big data Gravitational search algorithm Tourism demand forecasting
ISSN号0261-5177
DOI10.1016/j.tourman.2020.104208
英文摘要After more than ten years of exponential development, the growth rate of cruise tourist in China is slowing down. There is increasingly financial risk of investing in homeports, cruise ships and promotional activities. Therefore, forecasting Chinese cruise tourism demand is a prerequisite for investment decision-making and planning. In order to enhance forecasting performance, a least squares support vector regression model with gravitational search algorithm (LSSVR-GSA) is proposed for forecasting cruise tourism demand with big data, which are search query data (SQD) from Baidu and economic indexes. In the proposed model, hyper-parameters of the LSSVR model are optimized with GSA. By comparing these models with various settings, we find that LSSVR-GSA with selected mobile keywords and economic indexes can achieve the highest forecasting performance. The results indicate the proposed framework of the methodology is effective and big data can be helpful predictors for forecasting Chinese cruise tourism demand.
资助项目National Natural Science Foundation of China[71771207] ; National Natural Science Foundation of China[71601021] ; National Center for Mathematics and Interdisciplinary Sciences, CAS
WOS研究方向Environmental Sciences & Ecology ; Social Sciences - Other Topics ; Business & Economics
语种英语
WOS记录号WOS:000571686500006
出版者ELSEVIER SCI LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/52214]  
专题中国科学院数学与系统科学研究院
通讯作者Xie, Gang
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, MDIS, CFS, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Xie, Gang,Qian, Yatong,Wang, Shouyang. Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach[J]. TOURISM MANAGEMENT,2021,82:10.
APA Xie, Gang,Qian, Yatong,&Wang, Shouyang.(2021).Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach.TOURISM MANAGEMENT,82,10.
MLA Xie, Gang,et al."Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach".TOURISM MANAGEMENT 82(2021):10.

入库方式: OAI收割

来源:数学与系统科学研究院

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