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利用社交媒体数据绘制游客的潜在环境影响地图:以冰岛西峡湾为例。

Mapping Potential Environmental Impacts from Tourists Using Data from Social Media: A Case Study in the Westfjords of Iceland.

机构信息

Department of Environmental Sciences and Studies, Franklin University Switzerland, Sorengo, Switzerland.

出版信息

Environ Manage. 2018 Sep;62(3):446-457. doi: 10.1007/s00267-018-1056-z. Epub 2018 May 7.

DOI:10.1007/s00267-018-1056-z
PMID:29736767
Abstract

With tourism increasing in remote regions, it is important to be able to estimate potential environmental impacts from the tourists in order to plan and manage natural areas. This study combines measures of ecological sensitivity with data from publicly available geotagged photographs posted on the social media site Flickr to assess the vulnerability of the locations frequented by foreign tourists in the Westfjords region of Iceland between 2014 and 2016. The results suggest that tourists cluster primarily around six hotspots that represented some of the major known tourist destinations of the region. Although tourists generally frequented areas with lower ecological sensitivity and rarely went far beyond the main roads, one of the hotspots was in an area of higher ecological sensitivity. Further, tourists also appeared to have higher intensity stays when they entered areas of higher ecological sensitivity. Overall, these findings highlight the usefulness of combining data from social media in assessing potential environmental impacts of tourism. However, natural resource managers should be aware of limitations in the use of such data.

摘要

随着偏远地区旅游业的增长,能够估计游客对环境的潜在影响对于规划和管理自然区域非常重要。本研究将生态敏感性测量与来自社交媒体网站 Flickr 上公开的地理标记照片数据相结合,以评估 2014 年至 2016 年间冰岛西部峡湾地区外国游客光顾的地点的脆弱性。结果表明,游客主要集中在六个热点地区,这些地区代表了该地区一些主要的知名旅游目的地。尽管游客通常光顾生态敏感性较低的地区,很少超出主要道路,但其中一个热点地区位于生态敏感性较高的地区。此外,当游客进入生态敏感性较高的地区时,他们的停留时间似乎也更长。总的来说,这些发现强调了在评估旅游对环境的潜在影响时结合社交媒体数据的有用性。然而,自然资源管理者应该意识到使用此类数据的局限性。

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2
Spatial and Temporal Dynamics and Value of Nature-Based Recreation, Estimated via Social Media.通过社交媒体估算基于自然的休闲活动的时空动态及价值
PLoS One. 2016 Sep 9;11(9):e0162372. doi: 10.1371/journal.pone.0162372. eCollection 2016.
3
Where have all the people gone? Enhancing global conservation using night lights and social media.
利用社交媒体数据量化旅游业的繁荣和在北极地区不断扩大的足迹。
PLoS One. 2020 Jan 16;15(1):e0227189. doi: 10.1371/journal.pone.0227189. eCollection 2020.
所有人都去哪儿了?利用夜光和社交媒体加强全球保护工作。
Ecol Appl. 2015 Dec;25(8):2153-67. doi: 10.1890/15-0113.1.
4
Non-native species in the vascular flora of highlands and mountains of Iceland.冰岛高地和山区维管植物区系中的外来物种。
PeerJ. 2016 Jan 11;4:e1559. doi: 10.7717/peerj.1559. eCollection 2016.
5
Using social media to quantify nature-based tourism and recreation.利用社交媒体量化基于自然的旅游与休闲活动。
Sci Rep. 2013 Oct 17;3:2976. doi: 10.1038/srep02976.