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A framework to analyze the vulnerability of European road networks due to Sea-Level Rise (SLR) and sea storm surges
Institution:1. School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada;2. Departmento de Métodos Cuantitativos e Informáticos, Universidad Politécnica de Cartagena, Facultad de Ciencias de la Empresa, Calle Real No. 3, Cartagena 30201, Spain;3. Department of Civil Engineering, Universidad de Concepción, P.O. Box 160-C, Concepción, Chile;1. State Key Laboratory of Estuarine and Coastal Research, Shanghai 200062, China;2. Key Laboratory of Geographic Information Science of Ministry of Education, East China Normal University, Shanghai 200062, China;1. Research Institute for Water and Environment, University of Siegen, Siegen, Germany;2. Research Centre Siegen — FoKoS, University of Siegen, Siegen, Germany;3. College of Marine Science, University of South Florida, St. Petersburg, FL, USA
Abstract:This study proposes a framework to explore the concepts of exposure, vulnerability and connectivity in EU road network and to assess the potential transportation infrastructure sensitivities towards Sea-Level Rise (SLR) and storm surges. The magnitude and significance of impacts were determined and knowledge of network robustness was built up based on existing climate data and on future trends. Various spatial databases were integrated and a four-stage transport model was used to explore the likely impacts of network degradation. The pattern of the network was assessed via both node- and link-based measurements, where different road databases, namely TRANS-TOOLS and Tele Atlas/TomTom, were employed in order to analyze the impact of spatial resolution within network connectivity analyses. This general framework developed for European Union, was tested on a specific and articulated case study area; namely, the north-east coastal region of Spain. The research conducted, yielded useful methods for the analysis of network vulnerability, where impacts are more significant in regional accessibility patterns. Accessibility indicators at the regional level changed drastically, with some regions showing up to a 26% decrease. According to the results of network connectivity indicators, the changes in network topology have reduced the number of alternative routes and placed more pressure on the transport system. The implementation of this framework and quantitative assessment methodologies outlined in this paper could be employed to assist policy makers to recognize the opportunities that may arise or diminish the adverse effects.
Keywords:European road transport networks  Vulnerability  Accessibility  Connectivity  Spatial data modeling  Sea-level rise
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