Unveiling hidden risks in healthcare from flood-induced transportation disruption in Germany

Abstract Despite investments in disaster resilience, flooding continues to disrupt healthcare systems, both by limiting access and through failures in the surrounding transportation network. Existing models for mitigation planning often overlook critical dynamics, such as traffic rerouting, particularly at the national scales necessary for effective planning. Here we present a scalable method to identify hospitals at risk of emergency response delays and service disruptions caused by flood-induced traffic impacts. Our approach integrates a regional flood model with a gravity-based traffic model to simulate traffic flow from open-source road data. Our findings reveal hidden risks for hospitals located far from flood zones, showing how flood-related road disruptions and traffic rerouting can reduce access to critical healthcare services. In particular, we found 75 (of 2,475) hospitals at risk of patient surges beyond their regular capacity, driven solely by flood-related traffic disruptions. Of these, a third are more than 10 km from the nearest inundation, suggesting these facilities may be unaware and thus under-prepared — risks that have, until now, remained hidden from assessments.

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Publication Details

Journal
Communications Earth & Environment
Published
2025-08-18
DOI
https://doi.org/10.1038/s43247-025-02645-y
Citations
2
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
2.21

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article

Unveiling hidden risks in healthcare from flood-induced transportation disruption in Germany

Norbert Marwan, Maria Pregnolato, Bruno Merz, Seth Bryant et al.
2 citations
Communications Earth & Environment
Flood Risk Assessment and Management
2.21
article

Unveiling hidden risks in healthcare from flood-induced transportation disruption in Germany

Norbert Marwan, Maria Pregnolato, Bruno Merz, Seth Bryant, Lindsay T. Keegan, Jonas Wassmer, Jürgen Kurths, Paul Schimansky
article en
2 citations

Abstract

Abstract Despite investments in disaster resilience, flooding continues to disrupt healthcare systems, both by limiting access and through failures in the surrounding transportation network. Existing models for mitigation planning often overlook critical dynamics, such as traffic rerouting, particularly at the national scales necessary for effective planning. Here we present a scalable method to identify hospitals at risk of emergency response delays and service disruptions caused by flood-induced traffic impacts. Our approach integrates a regional flood model with a gravity-based traffic model to simulate traffic flow from open-source road data. Our findings reveal hidden risks for hospitals located far from flood zones, showing how flood-related road disruptions and traffic rerouting can reduce access to critical healthcare services. In particular, we found 75 (of 2,475) hospitals at risk of patient surges beyond their regular capacity, driven solely by flood-related traffic disruptions. Of these, a third are more than 10 km from the nearest inundation, suggesting these facilities may be unaware and thus under-prepared — risks that have, until now, remained hidden from assessments.

Communications Earth & EnvironmentVol. 6(1)
University of Potsdam (DE), University of Utah (US), Leibniz Association (DE), University of Bristol (GB), GFZ Helmholtz Centre for Geosciences (DE), Potsdam Institute for Climate Impact Research (DE), Delft University of Technology (NL)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 12%
Flood Risk Assessment and Management
2.21
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