The combination and placement of sustainable drainage systems (SuDS) devices is important for system design, but differing site characteristics and device properties can make this a challenging task. Opinion-based and optimization-based approaches have the disadvantages of subjectivity and excessive computational burden respectively. This paper presents a new framework for SuDS device combination and placement in system design. It integrates zero-one integer programming, random sampling, scheme filtering and cost-effectiveness analysis. The effectiveness of the framework is tested with a SuDS device placement design case in Chizhou city, Anhui province, China. The proposed framework will help to objectively choose the best SuDS device combination and placement scheme for cost-effective implementation.
Keywords: Cost-effectiveness analysis; Device placement; Random sampling; Sustainable drainage systems (SuDS); Zero-one integer programming.
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