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林业研究(英文版) >

2024 , Vol. 35 >Issue 1: 81

DOI: https://doi.org/10.1007/s11676-024-01720-y

  • Dehui Christina Geng 1 ,
  • Amy Li 2 ,
  • Jieyu Zhang 3 ,
  • Howie W. Harshaw 4 ,
  • Christopher Gaston 5 ,
  • Wanli Wu 1 ,
  • Guangyu Wang 1, g
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收稿日期: 2023-08-27

  录用日期: 2023-09-16

  网络出版日期: 2024-10-16

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

  • Dehui Christina Geng 1 ,
  • Amy Li 2 ,
  • Jieyu Zhang 3 ,
  • Howie W. Harshaw 4 ,
  • Christopher Gaston 5 ,
  • Wanli Wu 1 ,
  • Guangyu Wang 1, g
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  • 1 National Park Research Centre, Faculty of Forestry, University of British Columbia, V6T 1Z4, Vancouver, Canada
  • 2 Faculty of Applied Science, University of British Columbia, V6T 1Z3, Vancouver, Canada
  • 3 Paul G. Allen School of Computer Science & Engineering, University of Washington, 98195, Seattle, WA, USA
  • 4 Faculty of Kinesiology, Sport, and Recreation, University of Alberta, T6G 2J9, Edmonton, Canada
  • 5 Department of Wood Science, Faculty of Forestry, University of British Columbia, V6T 1Z4, Vancouver, Canada
g

Received date: 2023-08-27

  Accepted date: 2023-09-16

  Online published: 2024-10-16

Copyright

© The Author(s) 2024
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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本文引用格式

Dehui Christina Geng , Amy Li , Jieyu Zhang , Howie W. Harshaw , Christopher Gaston , Wanli Wu , Guangyu Wang . [J]. 林业研究(英文版), 2024 , 35(1) : 81 . DOI: 10.1007/s11676-024-01720-y

Abstract

COVID-19 posed challenges for global tourism 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 programming and analyzed using spatiotemporal analysis and a geographically weighted regression (GWR) model. Results highlight that COVID-19 significantly changed park visitation 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.

Key words： Tourism management; Social media big data; National parks; COVID-19; Geographical weighted regression

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