Simulation as a Tool: Towards Next Generation Crisis Management and Emergency Communication During Blackout Disasters

Crisis teams and crisis management must always be able to respond efficiently to disasters. However, Blackout Disasters pose a significant challenge for crisis teams and the affected citizens. Their impact on mobile networks can leave people without any means of emergency communication for an indefinite period, putting them in danger. Therefore, crisis teams must be able to act quickly by assessing the extent to which a power outage affects cellular coverage in disaster-stricken areas. However, the necessary expertise for this is often lacking. This study examines how simulation can enhance crisis management in Blackout Disasters. In an integrative research approach the PPRR-crisis management model is extended with phase-specific simulation use cases. The study demonstrates how simulation, based on digital twins, can model mobile networks, predict failures, assess disaster impact, and support the restoration of authority managed emergency mobile communication networks. First simulation results on a Berlin dataset show that already minor disruptions within the power grid will lead to severe impacts on mobile networks. Knowing this impact before the disaster occurs is an important asset for crisis preparedness and response.

Authors

Institutions

Publication Details

Journal
Proceedings of the ... International ISCRAM Conference
Published
2025-05-06
DOI
https://doi.org/10.59297/v7nvm309
Citations
1
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
4.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation as a Tool: Towards Next Generation Crisis Management and Emergency Communication During Blackout Disasters

Jochen Schiller, Ulrich Meissen, Eridy Lukau
1 citations
Proceedings of the ... International ISCRAM Conference
Disaster Management and Resilience
4.43
article

Simulation as a Tool: Towards Next Generation Crisis Management and Emergency Communication During Blackout Disasters

Jochen Schiller, Ulrich Meissen, Eridy Lukau
article en
1 citations

Abstract

Crisis teams and crisis management must always be able to respond efficiently to disasters. However, Blackout Disasters pose a significant challenge for crisis teams and the affected citizens. Their impact on mobile networks can leave people without any means of emergency communication for an indefinite period, putting them in danger. Therefore, crisis teams must be able to act quickly by assessing the extent to which a power outage affects cellular coverage in disaster-stricken areas. However, the necessary expertise for this is often lacking. This study examines how simulation can enhance crisis management in Blackout Disasters. In an integrative research approach the PPRR-crisis management model is extended with phase-specific simulation use cases. The study demonstrates how simulation, based on digital twins, can model mobile networks, predict failures, assess disaster impact, and support the restoration of authority managed emergency mobile communication networks. First simulation results on a Berlin dataset show that already minor disruptions within the power grid will lead to severe impacts on mobile networks. Knowing this impact before the disaster occurs is an important asset for crisis preparedness and response.

Proceedings of the ... International ISCRAM Conference
Fraunhofer Institute for Open Communication Systems (DE), Freie Universität Berlin (DE)
Openalex Percentile: Top 6%
Disaster Management and Resilience
4.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.