Adaptive Urban Transformation
Territorial governance, spatial strategy and urban landscape dynamics in the Pearl River Delta
This project concerns planning and management of urban deltas faced with increasing flood risk. The overall aim of the research is to develop an integrative and multiscale design and planning approach for adaptive urban transformation in fast urbanizing deltas. It uses the Pearl River Delta as a case study.
This research provides a unique approach that integrates research in urban landscape systems, territorial governance and visualisation techniques that will help to achieve more integrated and resilient deltas. For the first time, established and regular urban transformation processes will be used as opportunities to adapt systems in urbanized deltas at relatively low costs. Furthermore, the research will identify institutional, cultural and financial innovations that are needed in territorial governance to steer the development of urban and rural areas towards more resilient futures.
The project will combine work in the China, the Netherlands and the UK: (1) to develop a portfolio of integrated adaptation measures based on an assessment of ecological capacity and life cycles of buildings, urban districts and regions; (2) identify potential in territorial governance structures for more integrated approaches and adaptation measures; and (3), develop and test innovative 3D visualisation techniques that facilitate participatory, multi-stakeholder planning approaches.
Facts
| Funder: | National Natural Science Foundation of China Netherlands Organisation for Scientific Research Engineering and Physical Sciences Research Council |
| Programme: | Sustainable Deltas |
| Overall budget: | € 1.000.000 |
| Grant amount: | € 1.000.000 Contribution to TU Delft: € 350.000 |
| Grant number: | ALWSD.2016.013 |
| Role TU Delft: | Lead partner |
| Project duration: | February 2018 - February 2022 |
| TU Delft researchers: | Dr. Steffen Nijhuis Dr. Daniele Canatella Prof. Vincent Nadin Xiong Liang Dai Wei |
Project partners
South China University of Technology, University of Sheffield
