Adapting to change: Visitor patterns in national parks across the pandemic timeline

IF 2.7 Q1 FORESTRY
Dehui Christina Geng , Mingze Chen , Harry Seely , Howie W. Harshaw , Christopher Gaston , Wanli Wu , Guangyu Wang
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Abstract

The COVID-19 pandemic has substantially impacted visitor behaviour and forest tourism management, introducing new visitor patterns that persist in the post-COVID-19 period. As critical components of national parks, forests and tree-dominated natural environments have gained renewed attention for their role in promoting mental and physical health during public health crises. This study analysed pandemic-induced shifts in visitor activity and movement patterns from a temporal-spatial perspective in Banff, Jasper, Yoho and Kootenay National Parks using social media big data from pre, peri, and post COVID-19. Temporal analysis of social media posts aligned with official park attendance trends (2019–2023), validating big data as a reliable indicator. Results show a long-term behaviour shift toward nature-immersive activities in remote and forested wilderness areas, reduced traffics on historically popular routes, and emerging between-park connectivity. Seasonal and spatial visitation patterns became less centralised, increasing conservation pressures in ecologically sensitive forested areas and necessitating proactive infrastructure, zoning, and transit management. This research fills the knowledge gap on pandemic-driven visitation trends using big data, offering the implications extend beyond the current pandemic for effective and prompt park resources and tourism management, balancing conservation and public well-being.
适应变化:大流行期间国家公园的游客模式
COVID-19大流行严重影响了游客行为和森林旅游管理,引入了新的游客模式,这种模式在后COVID-19时期持续存在。作为国家公园的重要组成部分,森林和以树木为主的自然环境因其在公共卫生危机期间促进身心健康方面的作用而重新受到关注。本研究利用2019冠状病毒病之前、期间和之后的社交媒体大数据,从时空角度分析了班夫、贾斯珀、Yoho和库特尼国家公园的游客活动和运动模式的大流行引起的变化。社交媒体帖子的时间分析与官方公园游客趋势(2019-2023)一致,验证了大数据作为可靠指标的有效性。结果显示,在偏远的森林荒野地区,人们的长期行为向自然沉浸式活动转变,减少了历史上热门路线的交通流量,并出现了公园之间的连通性。季节性和空间旅游模式变得不那么集中,增加了生态敏感森林地区的保护压力,需要积极的基础设施、分区和过境管理。本研究利用大数据填补了关于大流行驱动的旅游趋势的知识空白,为有效和及时的公园资源和旅游管理,平衡保护和公众福祉提供了超出当前大流行的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Trees, Forests and People
Trees, Forests and People Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.30
自引率
7.40%
发文量
172
审稿时长
56 days
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