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Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data


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Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany





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Academic Editors: Marguerite Madden and Wolfgang Kainz

Abstract 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. View Full-Text

Keywords: tourism; post-disaster recovery; geotagged social media data; Flickr; volunteered geographic information VGI; data quality; space-time bin; crowdsourcing tourism; post-disaster recovery; geotagged social media data; Flickr; volunteered geographic information VGI; data quality; space-time bin; crowdsourcing





Author: Yingwei Yan * , Melanie Eckle, Chiao-Ling Kuo, Benjamin Herfort, Hongchao Fan and Alexander Zipf

Source: http://mdpi.com/



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