@article{ref1,
title="Resilience patterns of urban road networks under the worst-case localized disruptions",
journal="Risk analysis",
year="2023",
author="Du, Chongyang and Ouyang, Min and Zhang, Hui and Wang, Bo and Wang, Naiyu",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Recent events, including COVID-19, extreme floods, and explosion accidents, commonly induced localized closures and disruptions of urban road networks (URNs), resulting in significant impacts on human mobility and socio-economic activities. Existing studies on URN resilience to those events mainly took few cases for empirical studies, limiting our understanding on the URN resilience patterns across different cities. By conducting a large-scale nationwide resilience analysis of URNs in 363 cities in mainland China, this study attempts to uncover the resilience patterns of URNs against the worst-case single (SLDs) and multiple localized disruptions (MLDs). <br><br>RESULTS show that the distance from the worst-case SLD to the city center would be less than 5 km in 62.3% cities, as opposed to more than 15 km in 14.3% cities. Moreover, the average road network resilience of cities in western China could be 7% and 13% smaller than that of the eastern cities under the worst-case SLDs and MLDs, respectively. This inequality in the worst-case resilience is partly attributable to variations in urban socio-economic, infrastructure-related, and topographic factors. These findings could inspire nationwide pre-disaster mitigation strategies to cope with localized disruptions and help transfer insights for mitigation strategies against disruptive events across cities.<p /> <p>Language: en</p>",
language="en",
issn="0272-4332",
doi="10.1111/risa.14236",
url="http://dx.doi.org/10.1111/risa.14236"
}