机构

• 数学与系统科学研究... [15]
• 地理科学与资源研究所 [5]
• 成都山地灾害与环境研... [1]
• 新疆理化技术研究所 [1]

采集方式

• OAI收割 [22]

内容类型

• 期刊论文 [21]
• SCI/SSCI论文 [1]

发表日期

• 2024 [2]
• 2023 [1]
• 2022 [5]
• 2021 [5]
• 2020 [3]
• 2019 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共22条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2024, 卷号: 14, 期号: 1, 页码: 15495 作者:  Ma, Xuankai;  Ma, Rongxi;  Ma, Zijing;  Wang, Jingzhe;  Yang, Zhaoping   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/08/22 Tourism demand  Post-COVID-19  Tourism crisis management  Search engine data analysis  Tourism resilience   Integrating tourism supply-demand and environmental sensitivity into the tourism network identification of ecological functional zone 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 12 作者:  Li, Li;  Feng, Rundong;  Hou, Guoling;  Xi, Jianchao;  Gao, Ping   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/01 Ecological functional zone  Tourism networks  Ecological sensitivity  Tourism supply and demand  Taihang Mountains  Social media data   How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9 作者:  Sun, Shaolong;  Hu, Mengyuan;  Wang, Shouyang;  Zhang, Chengyuan   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/02/07 Tourism demand forecasting  Search engine data  Two -stage feature selection  Genetic algorithm  Kernel extreme learning machine   IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34 作者:  Sun, Shaolong;  Du, Zongjuan;  Zhang, Chengyuan;  Wang, Shouyang   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/02/07 Tourism demand forecasting  Multi-step ahead strategies  MIMO  DIRMO  Extreme learning machine   Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12 作者:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan   |  收藏  |  浏览/下载：31/0  |  提交时间：2023/02/07 Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network   Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 24 作者:  Li, Mingchen;  Zhang, Chengyuan;  Wang, Shouyang;  Sun, Shaolong   |  收藏  |  浏览/下载：28/0  |  提交时间：2023/02/07 Tourism demand forecasting  divide and conquer  Facebook prophet  deep learning  peri-COVID-19 era   Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 20 作者:  Liu, Yunhao;  Feng, Gengzhong;  Chin, Kwai-Sang;  Sun, Shaolong;  Wang, Shouyang   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/06/21 Tourism demand forecasting  daily tourism demand  holiday effects  seasonal patterns  FB Prophet   Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18 作者:  Xing, Guangyuan;  Sun, Shaolong;  Bi, Dan;  Guo, Ju-e;  Wang, Shouyang   |  收藏  |  浏览/下载：49/0  |  提交时间：2022/04/02 ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition   Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach 期刊论文  OAI收割 JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 19 作者:  Sun, Yuying;  Zhang, Jian;  Li, Xin;  Wang, Shouyang   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/04/02 forecast combination  nonparametric estimation  structural changes  tourism demand  time-varying jackknife model averaging   Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文  OAI收割 JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18 作者:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/04/02 tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning