Participatory multi-objective optimization for planning dense and green cities

The consideration of urban ecosystem services becomes increasingly important when planning compact cities. We implement a multi-objective optimization approach to support decision-makers in their efforts develop green and dense Embedded participatory process, the applied genetic algorithm allows us assess spatial tradeoffs between compactness. model is embedded decision system for interactive analysis communication results, facilitating engagement planners sustainable development. illustrate process multi-level case study Singapore, tropical city state aiming pursue its distinct greening strategy. whole from problem definition obtained solution set, evaluated using feedback loop with stakeholders. Using this approach, we identify robust best-suited development locations as well temporal prioritization schemes evolving around future public transportation nodes.