Spatio-temporal decision support system for natural crisis management with tweetComP1
Spatio-temporal decision support system for natural crisis management with tweetComP1
This paper discusses the design of a social media analysis system for decision making in natural disasters where tweets are analyzed to achieve situational awareness in earthquake and tsunami events. The system is demonstrated and evaluated using a scenario-based methodology. An empirical study is undertaken to get feedback and further requirements from practitioners working in the field of hazard detection and early warning. The main contribution of the paper is that we propose a framework which builds upon a system for tsunami detection and early warning, developed in the project Collaborative, Complex, and Critical Decision-Support in Evolving Crises (TRIDEC). The system is evaluated by the Kandilli Observatory and Earthquake Research Institute (KOERI) and the Portuguese Institute for the Sea and Atmosphere (IPMA) against official international requirements as well as individual national requirements to incorporate new features and functionalities related to human sensor network analysis, and to fit into existing workflows.
Zielinski, Andrea
76ccfc08-52b2-408a-ac49-5c306e7c0bd0
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Necmioglu, Ocal
c172a229-728b-4c82-9fc8-62734add9adf
Hammitzsch, Martin
febfa7c3-4b42-4336-bcc3-1f3aa6855c0c
2014
Zielinski, Andrea
76ccfc08-52b2-408a-ac49-5c306e7c0bd0
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Necmioglu, Ocal
c172a229-728b-4c82-9fc8-62734add9adf
Hammitzsch, Martin
febfa7c3-4b42-4336-bcc3-1f3aa6855c0c
Zielinski, Andrea, Middleton, Stuart, Necmioglu, Ocal and Hammitzsch, Martin
(2014)
Spatio-temporal decision support system for natural crisis management with tweetComP1.
Exploring New Directions for Decisions in the Internet Age (EWG-DSS 2013), Thessalonaki, Greece.
29 - 31 May 2013.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper discusses the design of a social media analysis system for decision making in natural disasters where tweets are analyzed to achieve situational awareness in earthquake and tsunami events. The system is demonstrated and evaluated using a scenario-based methodology. An empirical study is undertaken to get feedback and further requirements from practitioners working in the field of hazard detection and early warning. The main contribution of the paper is that we propose a framework which builds upon a system for tsunami detection and early warning, developed in the project Collaborative, Complex, and Critical Decision-Support in Evolving Crises (TRIDEC). The system is evaluated by the Kandilli Observatory and Earthquake Research Institute (KOERI) and the Portuguese Institute for the Sea and Atmosphere (IPMA) against official international requirements as well as individual national requirements to incorporate new features and functionalities related to human sensor network analysis, and to fit into existing workflows.
More information
Published date: 2014
Venue - Dates:
Exploring New Directions for Decisions in the Internet Age (EWG-DSS 2013), Thessalonaki, Greece, 2013-05-29 - 2013-05-31
Organisations:
IT Innovation
Identifiers
Local EPrints ID: 359366
URI: http://eprints.soton.ac.uk/id/eprint/359366
PURE UUID: 64dda394-13b9-4193-bfaf-65166b8dc572
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Date deposited: 29 Oct 2013 09:42
Last modified: 15 Mar 2024 03:08
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Contributors
Author:
Andrea Zielinski
Author:
Ocal Necmioglu
Author:
Martin Hammitzsch
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