Integrated Disaster Risk Management calls for joint perspectives and the collaboration of different actors to develop disaster management approaches together. With this comes the need for an interdisciplinary view on qualitative, data-based assessments. The approach presented here combines data from operative emergency response with geoinformation on critical infrastructure road networks, and census-based analyses of population vulnerability, using the city of Cologne as a case study area. The resulting road network criticality analysis provides an overview of bottlenecks in the urban road network that have the potential to negatively impact disaster response, especially during a disaster. The method is based on an iterative routing model (Rohr 2020), that simulates the coverage of an urban area by emergency services weighted by the social vulnerability of the affected population. The integration of datasets from these different fields produces a result that can support various stakeholder groups, such as urban planners, municipal managers, and critical infrastructure operators, in improving urban emergency response and thus contribute to an improvement in integrated disaster management.
Peter Priesmeier
Institute of Rescue Engineering and Civil Protection, University of Applied Sciences Cologne (TH-Köln), Germany
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