Building a Real-Time Geo-Targeted Event Observation (Geo) Viewer for Disaster Management and Situation Awareness
Situation awareness plays an important role in disaster response and emergency management. Displaying real-time location-based social media messages along with videos, pictures, and hashtags during a disaster event could help first responders improve their situation awareness . A geo-targeted event observation (Geo) Viewer was developed for monitoring real-time social media messages in target areas with four major functions: (1) real-time display of geo-tagged tweets within the target area; (2) interactive mapping functions; (3) spatial, text, and temporal search functions using keywords, spatial boundaries, or dates; and (4) manual labeling and text-tagging of messages. Different from traditional web GIS maps, the user interface design of GeoViewer provides the interactive display of multimedia content and maps. The front-end user interface to visualize and query tweets is built with open source programming libraries using server-side MongoDB. GeoViewer is built for assisting emergency responses and disaster management tasks by tracking disaster event impacts, recovery activities, and residents’ needs in the target region.
KeywordsSocial media Web maps Disaster management Situation awareness Geovisualization Open source
This material is based upon work supported by the U.S. National Science Foundation under Grant No. 1416509 and Grant No. 163464. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
- de Albuquerque, J. P., Herfort, B., Brenning, A., & Zipf, A. (2015). A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. International Journal of Geographical Information Science, 29, 667–689. doi: 10.1080/13658816.2014.996567.CrossRefGoogle Scholar
- Cameron, M. A., Power, R., Robinson, B., & Yin, J. (2012). Emergency situation awareness from twitter for crisis management. In Proceedings of the 21st International Conference on World Wide Web (pp. 695–698). NY, USA: ACM.Google Scholar
- Careem, M., De Silva, C., De Silva, R., Raschid, L., & Weerawarana, S. (2006). Sahana: Overview of a disaster management system. In 2006 International Conference on Information and Automation (pp. 361–366). IEEE.Google Scholar
- Goolsby, R. (2010). Social media as crisis platform: The future of community maps/crisis maps. ACM Transactions on Intelligent Systems and Technology (TIST), 1, 1, pp. 1–11, ACM Digital Library. DOI: 10.1145/1858948.1858955.
- Humanity Road and Statistics Without Borders. (2014). A Guide to Social Media Emergency Management Analytics. Understanding the Place of Analytics through Typhoon Haiyan Social Media Analysis. http://humanityroad.org/smemanalyticsguide/.
- Imran, M., Elbassuoni, S., Castillo, C., Diaz, F., & Meier, P. (2013). Practical extraction of disaster-relevant information from social media. In Proceedings of the 22nd International Conference on World Wide Web companion (pp 1021–1024). International World Wide Web Conferences Steering Committee.Google Scholar
- Meier, P. (2014). Digital humanitarians: How big data is changing the face of humanitarian response. CRC Press.Google Scholar
- Moore, R. & Verity, A. (2014). Hashtag standards for emergencies. United Nations Office for the Coordination of Humanitarian Affairs (OCHA) Policy and Studies Series 012. http://reliefweb.int/report/world/hashtag-standards-emergencies. Retrieved January 10, 2015.
- Morstatter, F., Pfeffer, J., Liu, H., & Carley, K. (2013). Is the sample good enough? Comparing data from Twitter’s Streaming API with Twitter’s Firehose. In Proceedings of ICWSM (p. 9).Google Scholar
- OCHA (2014). Hashtag standards for emergencies (pp. 1–18). United Nations Office for the Coordination of Humanitarian Affairs. http://reliefweb.int/sites/reliefweb.int/files/resources/Hashtag%20Standards%20For%20Emergencies.pdf.
- Okolloh, O. (2009). Ushahidi, or ‘testimony’: Web 2.0 tools for crowdsourcing crisis information. Participatory Learning and Action, 59(1), 65–70.Google Scholar
- Qu, Y., Huang, C., Zhang, P., & Zhang, J. (2011). Microblogging after a major disaster in China: A case study of the 2010 Yushu earthquake. In Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, (pp. 25–34). ACM.Google Scholar
- Sakaki, T., Okazaki, M., & Matsuo, Y. (2013). Earthquake shakes twitter users: Real-time event detection by social sensors. In IW3C2, (pp. 851–860). DOI: 10.1145/1772690.1772777.
- Tapia, A., Moore, K., Johnson, N. (2013). Beyond the trustworthy tweet: A deeper understanding of microblogged data use by disaster response and humanitarian relief organizations. In ISCRAM (pp. 770–779).Google Scholar
- Tomaszewki, B. (2015). Geographic information systems (GIS) for disaster management. LLC, Boca Raton, FL: CRC Press Taylor and Francis Group.Google Scholar
- Tsou, M. H. & Sun, C. H. (2007). Mobile GIServices applications in disaster management, book chapter in dynamic and mobile GIS: Investigating change in space and time. In J. Drummond, R. Billen, D. Forrest & Joao (Eds.), Innovations in GIS book series (pp. 213–236) London: CRC Press Taylor and Francis.Google Scholar
- Vieweg, S., Amanda, L. H., Starbird, K., & Palen, L. (2010). Microblogging during two natural hazards events: What Twitter may contribute to situational awareness. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1079–1088). ACM.Google Scholar
- Virtual Social Media Working Group (VSMWG). (2014) Using social media for enhanced situational awareness and decision support. Homeland Security Science and Technology.Google Scholar