
@article{ref1,
title="Flood exposure analysis of road infrastructure - comparison of different methods at national level",
journal="International journal of disaster risk reduction",
year="2020",
author="Papilloud, Tsolmongerel and Röthlisberger, Veronika and Loreti, Simone and Keiler, Margreth",
volume="47",
number="",
pages="e101548-e101548",
abstract="Assessing the flood exposure of infrastructure is crucial for sustainable flood risk management. We propose to define road exposure to floods as &quot;any road segment/element located within a flood hazard zone&quot;. On the example of Switzerland, we develop and compare three methods to assess the flood exposure of the road infrastructure: absolute road area potentially flooded (method A), relative road area potentially flooded (method B), and a network-based approach using the edge betweenness centrality index (method C). The results are aggregated and ranked in grid cells of 2 km by 2 km for comparison. The ranks are directly proportional to exposure levels. The results present distinct spatial patterns; grid cells with higher values in method A indicate where more road surfaces are in a flood hazard zone (urban or high road density areas in flood plains), while method B highlights where most of the road surface is in flood hazard zones of predominantly mountainous areas of Switzerland. Higher values in method C present areas where the most-connected road links within a network are exposed to floods. Most of the grid cells that have higher values in method B than in method C indicate isolated mountain valleys that can be accessed only by a single road exposed to floods. The study demonstrates the importance of an appropriate choice of methods in flood exposure analysis. As exposure analysis is a key step in flood risk assessment, the presented results provide information essential for decision making in disaster risk reduction.<p /> <p>Language: en</p>",
language="en",
issn="2212-4209",
doi="10.1016/j.ijdrr.2020.101548",
url="http://dx.doi.org/10.1016/j.ijdrr.2020.101548"
}