KIT | KIT-Bibliothek | Impressum | Datenschutz

Near-Real-Time Analysis of Publicly Communicated Disaster Response Information

Girard, Trevor 1; Wenzel, Friedemann 1; Khazai, Bijan 1; Kunz-Plapp, Tina 1; Daniell, James E. 1; Brink, Susan A. 1
1 Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruher Institut für Technologie (KIT)


Analysis of a disaster event can identify strengths and weaknesses of the response implemented by the disaster management system; however, analysis does not typically occur until after the response phase is over. The result is that knowledge gained can only benefit future responses rather than the response under investigation. This article argues that there is an opportunity to conduct analysis while the response is operational due to the increasing availability of information within hours and days of a disaster event. Hence, this article introduces a methodology for analyzing publicly communicated disaster response information in near-real-time. A classification scheme for the disaster information needs of the public has been developed to facilitate analysis and has led to the establishment of best observed practice standards for content and timeliness. By comparing the information shared with the public within days of a disaster to these standards, information gaps are revealed that can be investigated further. The result is identification of potential deficiencies in communicating critical disaster response information to the public at a time when they can still be corrected.

Verlagsausgabe §
DOI: 10.5445/IR/1000049208
Veröffentlicht am 12.11.2018
DOI: 10.1007/s13753-014-0024-3
Zitationen: 8
Web of Science
Zitationen: 6
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT Center for Disaster Management and Risk Reduction Technology (CEDIM)
Geophysikalisches Institut (GPI)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2014
Sprache Englisch
Identifikator ISSN: 2095-0055, 2192-6395
KITopen-ID: 1000049208
Erschienen in International journal of disaster risk science
Verlag SpringerOpen
Band 5
Heft 3
Seiten 165-175
Schlagwörter Disaster response information, Forensic disaster analysis, Near-real-time analysis, Post disaster evaluation
Nachgewiesen in Scopus
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page