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System Criticality of Road Network Areas for Emergency Management Services—Spatial Assessment Using a Tessellation Approach

  • Emergency management services, such as firefighting, rescue teams and ambulances,are all heavily reliant on road networks. However, even for highly industrialised countries such asGermany, and even for large cities, spatial planning tools are lacking for road network interruptionsof emergency services. Moreover, dependencies of emergency management expand not only onroads but on many other systemic interrelations, such as blockages of bridges. The first challenge thispaper addresses is the development of a novel assessment that captures systemic interrelations ofcritical services and their dependencies explicitly designed to the needs of the emergency services.This aligns with a second challenge: capturing system nodes and areas around road networksand their geographical interrelation. System nodes, road links and city areas are integrated into aspatial grid of tessellated hexagons (also referred to as tiles) with geographical information systems.The hexagonal grid is designed to provide a simple map visualisation for emergency planners andfire brigades. Travel time planning is then optimised for accessing city areas in need by weighingimpaired areas of past events based on operational incidents. The model is developed and testedwith official incident data for the city of Cologne, Germany, and will help emergency managers tobetter device planning of resources based on this novel identification method of critical areas.

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Metadaten
Author:Adrian Rohr, Peter Priesmeier, Katerina Tzavella, Alexander Fekete
URN:urn:nbn:de:hbz:832-epub4-16391
DOI:https://doi.org/10.3390/infrastructures5110099
ISSN:2412-3811
Parent Title (English):Infrastructures
Year of Completion:2020
Publisher:MDPI
Document Type:Article
Language:English
Date of first Publication:2020/11/12
Date of Publication (online):2021/03/03
GND-Keyword:Geoinformationssystem; Katastrophenmanagement; Risikomanagement; Straßennetz
Tag:Criticality assessment; Disaster risk management; Emergency management; Geographic information system; Risk assessment; Road network
Volume:5
Issue:11
Page Number:29
Institutes:Anlagen, Energie- und Maschinensysteme (F09) / Fakultät 09 / Institut für Rettungsingenieurwesen und Gefahrenabwehr
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik
Open Access:Open Access
DeepGreen:DeepGreen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International