Abstract
Urban landscapes are characterized by interrelated effects among multiple socioeconomic and ecological systems at different scales. Due to insufficient understanding of these effects, contemporary developments in many cities and agglomerations result in urban landscape conditions seriously affecting environmental quality and human well-being. Enabling social learning and collective actions, and Geodesign approaches applying systems thinking using geographic knowledge, are regarded the keys to an urban transformation, which can better provide qualities valued and needed by society. Yet, there is little knowledge of how to organize and facilitate suitable processes. This article presents a procedural concept for integrating Geodesign into collaborative design processes using the example of a study in the Limmattal region in Switzerland. People's values frame the deliberative process over future urban development possibilities as well as the scientific methods and the choices they include for demand analysis, option design, analysis of impacts of change, and trade-off analysis of conflicting values. The results of this study show how the different methods are made interoperable to provide deeper insights into people's demands, drivers of urban transformation and impacts of possible interventions on urban quality. Continual testing, demonstration and redesigning as time progresses are considered essential to accomplish urban transformation of higher quality. As the scientific methods and the process are inextricably linked, they should be further developed closely together. Thus, collaborative platforms should be established to foster ongoing design processes on the regional landscape development, coming along with a monitoring of social learning effects and the effectiveness of the methods.
Original language | English |
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Pages (from-to) | 59-70 |
Number of pages | 12 |
Journal | Landscape and Urban Planning |
Volume | 156 |
DOIs | |
Publication status | Published - 1 Dec 2016 |
Externally published | Yes |
Bibliographical note
Funding Information:This work is part of the “SUPat—Sustainable Urban Patterns” project, which is funded by the Swiss National Science Foundation's National Research Program (NRP 65) “New Urban Quality” ( http://www.nfp65.ch ), Research Grant: 406540-130578 . We are grateful to the numerous stakeholders for their active participation, reflections, and valuable input throughout the development of the methods and tools implemented in the Limmattal region. We thank Nicole Hürlimann for providing the procedural 3D visualization generated in her Master’s thesis. We would also like to thank the three reviewers for their constructive comments that helped to further focus the paper.
Publisher Copyright:
© 2016 Elsevier B.V.
Research programs
- ESSB DRIFT