旅游学 |
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一种基于百度指数的城市日游客规模预测方法 |
任欢1,2, 刘婷1, 康俊锋3, 潘宁4, 李敏靓1, 艾顺毅1 |
1.杭州师范大学 理学院,浙江 杭州 311121 2.首都师范大学 资源环境与旅游学院,北京 100048 3.江西理工大学 建筑与测绘工程学院,江西 赣州 341000 4.郑州旅游职业学院,河南 郑州 450000 |
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A prediction method of urban daily tourist scale based on Baidu index |
REN Huan1,2, LIU Ting1, KANG Junfeng3, PAN Ning4, LI Minliang1, AI Shunyi1 |
1.College of Science, Hangzhou Normal University,Hangzhou 311121, China 2.College of Resource Environment and Tourism Capital Normal University, Beijing 100048, China 3.School of Architectural and Surveying & Mapping Engineering,Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi Province, China 4.Zhengzhou Tourism College, Zhengzhou 450000, China |
引用本文:
任欢, 刘婷, 康俊锋, 潘宁, 李敏靓, 艾顺毅. 一种基于百度指数的城市日游客规模预测方法[J]. 浙江大学学报(理学版), 2020, 47(6): 753-761.
REN Huan, LIU Ting, KANG Junfeng, PAN Ning, LI Minliang, AI Shunyi. A prediction method of urban daily tourist scale based on Baidu index. Journal of Zhejiang University (Science Edition), 2020, 47(6): 753-761.
链接本文:
https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2020.06.014
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https://www.zjujournals.com/sci/CN/Y2020/V47/I6/753
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