Editorial: Tourism forecasting competition in the time of COVID-19.
作者信息
Song Haiyan, Li Gang
机构信息
School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region.
School of Hospitality and Tourism Management, University of Surrey, United Kingdom of Great Britain and Northern Ireland.
出版信息
Ann Tour Res. 2021 May;88:103198. doi: 10.1016/j.annals.2021.103198. Epub 2021 Apr 6.
Abstract
摘要
相似文献
1
Editorial: Tourism forecasting competition in the time of COVID-19.社论：新冠疫情时代的旅游预测竞赛
Ann Tour Res. 2021 May;88:103198. doi: 10.1016/j.annals.2021.103198. Epub 2021 Apr 6.
2
Visitor arrivals forecasts amid COVID-19: A perspective from the Asia and Pacific team.新冠疫情期间的游客到访量预测：亚太团队的视角
Ann Tour Res. 2021 May;88:103155. doi: 10.1016/j.annals.2021.103155. Epub 2021 Jan 28.
3
Tourism forecasting competition in the time of COVID-19: An assessment of forecasts.新冠疫情时期的旅游预测竞赛：预测评估
Ann Tour Res. 2022 Sep;96:103445. doi: 10.1016/j.annals.2022.103445. Epub 2022 Jul 4.
4
Visitor arrivals forecasts amid COVID-19: A perspective from the Africa team.新冠疫情期间的游客到访量预测：非洲团队的视角
Ann Tour Res. 2021 May;88:103197. doi: 10.1016/j.annals.2021.103197. Epub 2021 Mar 20.
5
Forecasting tourism recovery amid COVID-19.新冠疫情期间的旅游复苏预测。
Ann Tour Res. 2021 Mar;87:103149. doi: 10.1016/j.annals.2021.103149. Epub 2021 Jan 16.
6
The forecasting of International Expo tourism using quantitative and qualitative techniques.运用定量和定性技术对国际博览会旅游进行预测。
Tour Manag. 2008 Dec;29(6):1084-1098. doi: 10.1016/j.tourman.2008.02.007. Epub 2008 Apr 18.
7
Restoration of Visitors through Nature-Based Tourism: A Systematic Review, Conceptual Framework, and Future Research Directions.通过自然旅游实现游客回流：系统评价、概念框架与未来研究方向。
Int J Environ Res Public Health. 2021 Feb 26;18(5):2299. doi: 10.3390/ijerph18052299.
8
Measuring risks and vulnerability of tourism to the COVID-19 crisis in the context of extreme uncertainty: The case of the Balearic Islands.在极度不确定的背景下衡量旅游业对新冠疫情危机的风险和脆弱性：以巴利阿里群岛为例。
Tour Manag Perspect. 2021 Jul;39:100857. doi: 10.1016/j.tmp.2021.100857. Epub 2021 Jul 26.
9
Analysis of spatial patterns and driving factors of provincial tourism demand in China.中国省级旅游需求的空间格局及驱动因素分析。
Sci Rep. 2022 Feb 10;12(1):2260. doi: 10.1038/s41598-022-04895-8.
10
Two Different Points of View through Artificial Intelligence and Vector Autoregressive Models for Ex Post and Ex Ante Forecasting.通过人工智能和向量自回归模型进行事后和事前预测的两种不同观点。
Comput Intell Neurosci. 2015;2015:409361. doi: 10.1155/2015/409361. Epub 2015 Oct 13.
引用本文的文献
1
The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China.新冠疫情危机对航空旅行需求的影响：来自中国的一些证据。
Sage Open. 2023 Jan 30;13(1):21582440231152444. doi: 10.1177/21582440231152444. eCollection 2023 Jan-Mar.
2
Tourism forecasting competition in the time of COVID-19: An assessment of forecasts.新冠疫情时期的旅游预测竞赛：预测评估
Ann Tour Res. 2022 Sep;96:103445. doi: 10.1016/j.annals.2022.103445. Epub 2022 Jul 4.
Zotero 插件