Monitoring and assessing post-disaster tourism recovery using geotagged social media data

Tourism is one of the most economically important industries. It is, however, vulnerable to disaster events. Geotagged social media data, as one of the forms of volunteered geographic information (VGI), has been widely explored to support the prevention, preparation, and response phases of disaster...

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Bibliographic Details
Main Authors: Yan, Yingwei (Author) , Eckle, Melanie (Author) , Herfort, Benjamin (Author) , Fan, Hongchao (Author) , Zipf, Alexander (Author)
Format: Article (Journal)
Language:English
Published: 3 May 2017
In: ISPRS International Journal of Geo-Information
Year: 2017, Volume: 6, Issue: 5
ISSN:2220-9964
DOI:10.3390/ijgi6050144
Online Access:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.3390/ijgi6050144
Verlag, kostenfrei, Volltext: http://www.mdpi.com/2220-9964/6/5/144
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Author Notes:Yingwei Yan, Melanie Eckle, Chiao-Ling Kuo, Benjamin Herfort, Hongchao Fan and Alexander Zipf
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Summary:Tourism is one of the most economically important industries. It is, however, vulnerable to disaster events. Geotagged social media data, as one of the forms of volunteered geographic information (VGI), has been widely explored to support the prevention, preparation, and response phases of disaster management, while little effort has been put on the recovery phase. This study develops a scientific workflow and methods to monitor and assess post-disaster tourism recovery using geotagged Flickr photos, which involve a viewshed based data quality enhancement, a space-time bin based quantitative photo analysis, and a crowdsourcing based qualitative photo analysis. The developed workflow and methods have also been demonstrated in this paper through a case study conducted for the Philippines where a magnitude 7.2 earthquake (Bohol earthquake) and a super typhoon (Haiyan) occurred successively in October and November 2013. In the case study, we discovered spatiotemporal knowledge about the post-disaster tourism recovery, including the recovery statuses and trends, and the photos visually showing unfixed damages. The findings contribute to a better tourism rehabilitation of the study area.
Item Description:Gesehen am 22.07.2017
Physical Description:Online Resource
ISSN:2220-9964
DOI:10.3390/ijgi6050144