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
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(5), 144; doi:10.3390/ijgi6050144

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
Received: 27 January 2017 / Revised: 25 April 2017 / Accepted: 27 April 2017 / Published: 3 May 2017
View Full-Text   |   Download PDF [3764 KB, uploaded 3 May 2017]   |  

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top