Exploring impacts of COVID-19 on spatial and temporal patterns of visitors to Canadian Rocky Mountain National Parks from social media big data

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外文摘要：COVID-19 posed challenges for global tour-ism management.Changes in visitor temporal and spatial patterns and their associated determinants pre-and peri-pandemic in Canadian Rocky Mountain National Parks are analyzed.Data was collected through social media pro-gramming and analyzed using spatiotemporal analysis and a geographically weighted regression(GWR)model.Results highlight that COVID-19 significantly changed park visita-tion patterns.Visitors tended to explore more remote areas peri-pandemic.The GWR model also indicated distance to nearby trails was a significant influence on visitor density.Our results indicate that the pandemic influenced tourism temporal and spatial imbalance.This research presents a novel approach using combined social media big data which can be extended to the field of tourism management,and has important implications to manage visitor patterns and to allocate resources efficiently to satisfy multiple objectives of park management.

外文关键词：

Tourism managementSocial media big dataNational parksCOVID-19Geographical weighted regression

作者：

Dehui Christina Geng、Amy Li、Jieyu Zhang、Howie W.Harshaw、Christopher Gaston、Wanli Wu、Guangyu Wang、Yu Lei

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作者单位：

National Park Research Centre,Faculty of Forestry,University of British Columbia,Vancouver V6T 1Z4,Canada

Faculty of Applied Science,University of British Columbia,Vancouver V6T 1Z3,Canada

Paul G.Allen School of Computer Science&Engineering,University of Washington,Seattle,WA 98195,USA

Faculty of Kinesiology,Sport,and Recreation,University of Alberta,Edmonton T6G 2J9,Canada

Department of Wood Science,Faculty of Forestry,University of British Columbia,Vancouver V6T 1Z4,Canada

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基金：

UBC APFNet Grant

项目编号：

2022sp2 CAN

出版年：

2024

DOI：

10.1007/s11676-024-01720-y

林业研究(英文版)

东北林业大学,中国生态学学会

林业研究(英文版)

CSTPCDEI

影响因子：0.365

ISSN：1007-662X

年,卷(期)：2024.35(4)