DESIGNING A RESILIENT WATERSCAPE USING A LIVING LAB AND CATALYZING POLYCENTRIC GOVERNANCE

ZINGRAFF-HAMED Aude, MARTIN Juliette, LUPP Gerd, LINNEROOTH-BAYER Joanne, PAULEIT Stephan

PDF(3476 KB)
PDF(3476 KB)
Landsc. Archit. Front. ›› 2019, Vol. 7 ›› Issue (3) : 12-31. DOI: 10.15302/J-LAF-1-020003
PAPERS
PAPERS

DESIGNING A RESILIENT WATERSCAPE USING A LIVING LAB AND CATALYZING POLYCENTRIC GOVERNANCE

Author information +
History +

Abstract

The both polycentric governance and Living Labs concepts are based on decentralized participatory planning, co-design, and decisionmaking. While the concept of Living Lab is still emerging, the Isar-Plan (2000 ~ 2011) pioneered the approach for selecting, co-designing, and implementing nature-based solutions along the Isar River in Munich, Germany. Despite multiple governing authorities involved in the decisionmaking process of the Isar-Plan, the polycentric governance that led to the success of the project has to date not been analyzed. This paper presents the results of an ex-post-analysis of the Isar-Plan restoration planning process based on stakeholder interviews and a literature review. The contribution describes the evolution of Isar-Plan governance arrangements and discusses the Living Lab approaches to cooperative governance. The analysis demonstrates how polycentricity facilitated trust, learning, and the co-design of a resilient waterscape. The paper concludes that Living Labs can be a way of applying polycentric governance when autonomous and multi-scale decision-makers are collaboratively involved in the design of policy solutions, and vice-versa.

Keywords

Participative Process / Socio-Ecological Restoration / Urban Study / River Management / Water Resource Governance / Living Lab / Polycentric Governance

Cite this article

Download citation ▾
ZINGRAFF-HAMED Aude, MARTIN Juliette, LUPP Gerd, LINNEROOTH-BAYER Joanne, PAULEIT Stephan. DESIGNING A RESILIENT WATERSCAPE USING A LIVING LAB AND CATALYZING POLYCENTRIC GOVERNANCE. Landsc. Archit. Front., 2019, 7(3): 12‒31 https://doi.org/10.15302/J-LAF-1-020003

RIGHTS & PERMISSIONS

2019 Higher Education Press
AI Summary AI Mindmap
PDF(3476 KB)

Accesses

Citations

Detail

Sections
Recommended

/