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Author (up) Sebastian Lindner; Stefan Sackmann; Hans Betke pdf  isbn
  Title Simulating Spontaneous Volunteers: A System Entity Structure for Defining Disaster Scenarios Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages  
  Keywords Agent-based Simulation, Spontaneous Volunteers, Spontaneous Volunteer Coordination Scenario Definition Language (SVCDSL), System Entity Structure (SES), Disaster Scenario  
  Abstract Fast and easy communication, e.g. via Twitter or Facebook, encourages self-coordination between spontaneous

volunteers in disasters. Unfortunately, this is more and more challenging official disaster management. The need

for the directed coordination of spontaneous volunteers triggered researchers to develop effective coordination

approaches. However, evaluating and comparing such approaches as well as their exercising are lacking a

standardized way to describe repeatable disaster scenarios, e.g. for simulations. Therefore, we present a novel

System Entity Structure (SES) for describing disaster scenarios considering the disaster environment,

communication infrastructure, disaster management, and population of spontaneous volunteers. The SES is

discussed as a promising scheme for including spontaneous volunteers in disaster scenarios on a general level. Its

applicability is demonstrated by a Pruned Entity Structure derived from a real disaster scenario. Based on the

results, we give an outlook on our subsequent research, the XML-based Spontaneous Volunteer Coordination

Scenario Definition Language (SVCSDL).
  Address Martin Luther University Halle-Wittenberg, Germany  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T7- Planning, Foresight and Risk Analysis Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1885  
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