Zihan Liu , Tianxiang Liu , Hanbin Luo , Yongping Di , Han Gao , Wenli Liu
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引用次数: 0
Abstract
Despite the increasing attention on urban flood control measures (UFCM) for urban drainage systems (UDS), current approaches often overlook the spatial variation in urban flood resilience (UFR) and trade-offs across multiple decision-making levels. To address these challenges, this paper develops a bilevel multi-objective optimization (BMOO) model for large-scale UFCM, aiming at an optimal trade-off of public safety, sustainability, and efficiency. The results show that the model can effectively address the diverse objectives of two decision-making levels. The bilevel model can reduce the risk of surface overflows risk and improve the resilience of the UDS compared to the initial scheme while saving 39.8 % of the travel distance. In general, this paper presents a bilevel approach to solve simultaneously a multi-objective and multi-level decision-making problem in large-scale UFCM, providing an optimized solution for regional-level spatial prioritization, component-level critical segments identification, and route planning in UDS maintenance activity.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.