Participatory multi-objective optimization for planning dense and green cities

Sergio Wicki, Jonas Schwaab, Jan Perhac and Adrienne Grêt-Regamey

Journal of Environmental Planning and Management, 2021, vol. 64, issue 14, 2532-2551

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

Date: 2021
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DOI: 10.1080/09640568.2021.1875999

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