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Lookup NU author(s): Professor Richard DawsonORCiD, Dr Alistair FordORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
The urban transport network is threatened by urbanisation and climate change-enhanced urban flood, leading to substantial impacts on economic activities, social well-being and the environment. By taking the flood propagation process into consideration, we developed a flood-impact-assessment method to comprehensively assessed the economic impacts of traffic disruption in terms of time delay, fuel consumption and pollutant emission. The flood is simulated with CADDIES-2D flood model and the traffic flow is simulated with a microscopic model (SUMO). We applied this method to Beijing and quantified the economic damage of various flood scenarios. Comparing the baseline traffic scenario with those of three flooded scenarios yields the impacts of floods on traffic. The study revealed three key findings: (a) a rain occurring at 7 a.m. induces four times more cost than the baseline scenario, while rain of the same intensity and duration occurring at 8 a.m. or 9 a.m. lead to a traffic cost increase for 37.33% and 13.21% respectively. (b) The central and southern parts of Beijing suffer more from flooding and should be given priority for adaptation planning. (c) There is no significant spatial correlation between flood depth and traffic cost increase on a census block level. The proposed framework has the potential to assist decision-makers in prioritizing flood mitigation investments and therefore increase the resilience of transport networks to flooding impacts.
Author(s): Liu Y, Yang S, Dawson R, Ford A, Tang J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: EGU General Assembly 2023
Year of Conference: 2023
Acceptance date: 28/03/2023
Date deposited: 13/07/2023
Publisher: Copernicus GmbH
URL: https://doi.org/10.5194/egusphere-egu23-6611
DOI: 10.5194/egusphere-egu23-6611
Notes: EGU23-6611
