32
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A global multi-hazard risk analysis of road and railway infrastructure assets

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Transport infrastructure is exposed to natural hazards all around the world. Here we present the first global estimates of multi-hazard exposure and risk to road and rail infrastructure. Results reveal that ~27% of all global road and railway assets are exposed to at least one hazard and ~7.5% of all assets are exposed to a 1/100 year flood event. Global Expected Annual Damages (EAD) due to direct damage to road and railway assets range from 3.1 to 22 billion US dollars, of which ~73% is caused by surface and river flooding. Global EAD are small relative to global GDP (~0.02%). However, in some countries EAD reach 0.5 to 1% of GDP annually, which is the same order of magnitude as national transport infrastructure budgets. A cost-benefit analysis suggests that increasing flood protection would have positive returns on ~60% of roads exposed to a 1/100 year flood event.

          Abstract

          Spatial distribution has been rarely studied in global disaster risk models. Here the authors address damaged networked infrastructure at the asset level for a wider range of hazards and reveal a global Expected Annual Damages ranging from $3.1 to 22 billion with a particular vulnerability of transport infrastructure in Small Island Developing States.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: not found
          • Article: not found

          The Rise and Fall of the Environmental Kuznets Curve

            • Record: found
            • Abstract: not found
            • Article: not found
            Is Open Access

            A high-accuracy map of global terrain elevations

              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              SALib: An open-source Python library for Sensitivity Analysis

                Author and article information

                Contributors
                elco.koks@vu.nl
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                25 June 2019
                25 June 2019
                2019
                : 10
                : 2677
                Affiliations
                [1 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Environmental Change Institute, , University of Oxford, ; Oxford, OX1 3QY UK
                [2 ]ISNI 0000 0004 1754 9227, GRID grid.12380.38, Institute for Environmental Studies, , Vrije Universiteit Amsterdam, ; Amsterdam, 1081 HV The Netherlands
                [3 ]ISNI 0000 0004 0482 9086, GRID grid.431778.e, World Bank, ; Washington, DC 20433 USA
                [4 ]ISNI 0000 0004 1758 4137, GRID grid.434554.7, European Commission, , Joint European Research Centre (JRC), ; Ispra, I-21027 Italy
                [5 ]ISNI 0000 0004 0622 2931, GRID grid.7144.6, Department of Marine Sciences, , University of the Aegean, ; Mitilene, 41100 Greece
                Author information
                http://orcid.org/0000-0003-3101-1004
                Article
                10442
                10.1038/s41467-019-10442-3
                6592920
                30602773
                893b0f66-750a-440a-82cd-93ef16410312
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 December 2018
                : 14 May 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000266, RCUK | Engineering and Physical Sciences Research Council (EPSRC);
                Award ID: EP/N017064/1
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                environmental impact,natural hazards
                Uncategorized
                environmental impact, natural hazards

                Comments

                Comment on this article

                Related Documents Log