@article{ref1,
title="Local floods induce large-scale abrupt failures of road networks",
journal="Nature communications",
year="2019",
author="Wang, Weiping and Yang, Saini and Stanley, H. Eugene and Gao, Jianxi",
volume="10",
number="1",
pages="2114-2114",
abstract="The adverse effect of climate change continues to expand, and the risks of flooding are increasing. Despite advances in network science and risk analysis, we lack a systematic mathematical framework for road network percolation under the disturbance of flooding. The difficulty is rooted in the unique three-dimensional nature of a flood, where altitude plays a critical role as the third dimension, and the current network-based framework is unsuitable for it. Here we develop a failure model to study the effect of floods on road networks; the result covers 90.6% of road closures and 94.1% of flooded streets resulting from Hurricane Harvey. We study the effects of floods on road networks in China and the United States, showing a discontinuous phase transition, indicating that a small local disturbance may lead to a large-scale systematic malfunction of the entire road network at a critical point. Our integrated approach opens avenues for understanding the resilience of critical infrastructure networks against floods.<p /> <p>Language: en</p>",
language="en",
issn="2041-1723",
doi="10.1038/s41467-019-10063-w",
url="http://dx.doi.org/10.1038/s41467-019-10063-w"
}