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Author
Lennart Landsberg
;
David Ganske
;
Christopher Munschauer
;
Ompe Aimé Mudimu
Title
Using Existing Data to Support Operational Emergency Response in Germany – Current Use Cases, Opportunities and Challenges
Type
Conference Article
Year
2020
Publication
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
Iscram 2020
Volume
Issue
Pages
406-415
Keywords
Emergency Response
;
Data Analytics
;
Artificial Intelligence (AI)
;
Dispatch Strategies
;
Resilience
Abstract
The availability of resources in the fire and ambulance services in Germany is facing a radical change. Demographic and social transition is reducing the availability of volunteer personnel, and increasing traffic congestion in cities is resulting in longer travel times for emergency vehicles. This paper presents the findings of the definition phase of a research project that addresses these changes. It shows the basic idea of how resilience of fire and ambulance services can be improved by analyzing operational data from past incidents using artificial intelligence (AI). The primary objective is the development of a decision support system for control center dispatchers, which ensures optimal use of available resources. As the result of the definition phase, this paper gives an overview of existing data, current as well as future use cases and also highlights risks and challenges that have to be considered.
Address
TH Köln; TH Köln; TH Köln; TH Köln
Corporate Author
Thesis
Publisher
Virginia Tech
Place of Publication
Blacksburg, VA (USA)
Editor
Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
978-1-949373-27-39
ISBN
2411-3425
Medium
Track
Data and Resilience: Opportunities and Challenges
Expedition
Conference
17th International Conference on Information Systems for Crisis Response and Management
Notes
lennart_walter.landsberg@th-koeln.de
Approved
no
Call Number
Serial
2240
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