Conceptual scenario model for collaborative disaster response planning

Severe and complex disaster situations have shown that there is a need to improve collaborative strategic planning on a regional scale among the many affected actors concerned with disaster risk management and response. In this work-in-progress paper we present a conceptual scenario model for a holistic semantic integration and representation of process-specific knowledge across all process phases based on EDXL. Scenario model elements and structure have been elaborated incrementally by a combination of different methods including a faceted model formalization based on EDXL, different semi-structured questionnaires and in-depth interviews with experts in response planning. Six major groups of response planning activities involving scenarios have been identified: (a) Situation assessment, (b) risk and impact assessment, (c) scenario matching, (d) analysis of possible future scenarios, (e) cross-stakeholder cooperation and communication and (f) evaluation and revision of response plans based on lessons learnt from disasters. Different information elements have been derived which are required in the scenario model to improve the aforementioned activities. Next, the model will be revised accordingly and used as the backbone for proof-of-concept solution implementations. These implementations will undergo exercises and evaluation in real-environment conditions.

[1]  Alessio Malizia,et al.  SEMA4A: An ontology for emergency notification systems accessibility , 2010, Expert Syst. Appl..

[2]  Vaninha Vieira,et al.  EDXL-RESCUER Ontology: an Update Based on Faceted Taxonomy Approach , 2015, ONTOBRAS.

[3]  Gerald Schimak,et al.  Requirements Engineering for Semantic Sensors in Crisis and Disaster Management , 2015, ISESS.

[4]  David Alexander,et al.  Principles of emergency planning. , 2009 .

[5]  Fulya Tuncer Cetin,et al.  RECONSURVE : JC 3 IEDM and EDXL based Emergency Management Service Oriented Architecture for Maritime Surveillance , 2012 .

[6]  Julia Kantorovitch,et al.  Knowledge modelling framework , 2015, 2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM).

[7]  Ulrich Raape,et al.  Integrated Open Service Platform for Enhanced Risk and Emergency Management: the PHAROS Solution , 2015 .

[8]  Martin Hammitzsch,et al.  Interlinking national tsunami early warning systems towards ocean-wide system-of-systems networks , 2012, ISCRAM.

[9]  Peter Dorfinger,et al.  A Flexible Self-Aligning Communication Solution for Multinational Large Scale Disaster Operations , 2015 .

[10]  Yi Deng,et al.  urvey of data management and analysis in disaster situations , 2010 .

[11]  Peter Dorfinger,et al.  Sensor interoperability for disaster management , 2015, 2015 IEEE Sensors Applications Symposium (SAS).

[12]  Muhammad Amer,et al.  A review of scenario planning , 2013 .

[13]  Christian Wietfeld,et al.  Common information space for collaborative emergency management , 2016, 2016 IEEE Symposium on Technologies for Homeland Security (HST).