Abstract River flooding is a profound climate hazard in Europe and a threat to its road transport infrastructure. However, its impact on road network interruptions is mostly unexplored, while some have suggested that national road networks may experience tipping points. This study assesses the robustness of road networks of European countries and their potential for a tipping point: an abrupt and disproportionally large loss of network functionality, due to unfavourable combinations of floods. Methodologically inspired by percolation analysis, ten-thousands of flood combinations are sampled and their impacts on road network performance are assessed. The results show that Albania, Croatia, Serbia and Austria are relatively vulnerable, whereas Belgium, Estonia, Lithuania and Portugal are relatively robust. Tipping points in the sense of nationwide network fragmentation seem unlikely, but regional-scale tipping points can happen. Flood-proofing the identified weak spots could result in quick wins for national road operators.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Will river floods ‘tip’ European road networks? A robustness assessment


    Beteiligte:


    Erscheinungsdatum :

    2022-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Assessment of Scaling Behavior of Regional Floods

    Pandey, G. R. | British Library Online Contents | 1998


    Sediment-associated nutrient transport during floods in a gravel river

    Toda, Yuji / Ikeda, Syunsuke / Kumagai, Kentaro | Springer Verlag | 2005


    Stability of Old Stone Groins in the Katsura River During Floods

    Ishigaki, Taisuke / Asano, Takahiro / Kawanaka, Ryuji | HENRY – Bundesanstalt für Wasserbau (BAW) | 2008

    Freier Zugriff

    Benchmark Analysis for Robustness of Multi-Scale Urban Road Networks Under Global Disruptions

    Shang, Wen-Long / Gao, Ziyou / Daina, Nicolo et al. | IEEE | 2023


    Vulnerability patterns of road network to extreme floods based on accessibility measures

    Papilloud, Tsolmongerel / Keiler, Margreth | Elsevier | 2021