@article{ref1,
title="A Driver-Pressure-State-Impact-Response study for urban transport resilience under extreme rainfall-flood conditions",
journal="Transportation research part D: transport and environment",
year="2023",
author="Fang, Xinyi and Lu, Linjun and Li, Yan and Hong, Yilin",
volume="121",
number="",
pages="e103819-e103819",
abstract="This paper proposes a systematic Driver-Pressure-State-Impact-Response (DPSIR) method for traffic performance assessment under urban floods caused by extreme rainfall events. A coupled rainfall-flood-traffic model has been developed as the prerequisite for evaluation with publicly available data. The DPSIR method integrates the natural and transportation systems into cause-effect-response impact chains and facilitates dynamic traffic performance measurement on the road and network levels. We apply this approach to the urban networks' motorways, trunk, and arterial roads in Shanghai, China. The results help identify critical roads and verify the effectiveness of demand-control strategies in improving traffic resilience. By offering decision-makers a comprehensive view of traffic operation under disruptions, this method can help them build a more resilient transport system in flood risk management.<p /> <p>Language: en</p>",
language="en",
issn="1361-9209",
doi="10.1016/j.trd.2023.103819",
url="http://dx.doi.org/10.1016/j.trd.2023.103819"
}