Next Article in Journal
Design of a Model Base Framework for Model Environment Construction in a Virtual Geographic Environment (VGE)
Previous Article in Journal
A Country Profile of the Czech Republic Based on an LADM for the Development of a 3D Cadastre
Open AccessArticle

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

Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Marguerite Madden and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2017, 6(5), 144; https://doi.org/10.3390/ijgi6050144
Received: 27 January 2017 / Revised: 25 April 2017 / Accepted: 27 April 2017 / Published: 3 May 2017
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
Show Figures

Figure 1

MDPI and ACS Style

Yan, Y.; Eckle, M.; Kuo, C.-L.; Herfort, B.; Fan, H.; Zipf, A. Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data. ISPRS Int. J. Geo-Inf. 2017, 6, 144.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop