Geodesigning Climate Change Adaptation on a Regional Level through Shelterbelt Provision in the Jingjinji Area
More than 109 million people already live in the Jingjinji Area, the greater metropolitan area around Bejing and the number of inhabitants as well as land take for new housing is increasing dramat- ically. At the same time, the region is under threat from climate change, especially through desertifica- tion. The government has identified shelterbelt forests as appropriate adaptation measures. However, the designation of new shelterbelts has to be integrated in the wider regional planning process for the Jingjinji Area and this pilot study explores the potential of the geodesign framework and the Ge- odesignhub online platform for this monumental task. Four development scenarios and two evaluation models with constraint maps were set up a prior. Then, we conducted two workshops, partly remotely, with 12 participating landscape architecture PG and PhD students across the world. In terms of the planning task, the workshop resulted in a synthesis map of how housing, industry and commerce, the 2020 Winter Olympics, transport infrastructure, green infrastructure and particularly shelterbelts can be located in the Jingjinji area. Parallel, a process evaluation was conducted resulting in valuable feed- back regarding the strengths and limitations of the geodesign framework and online tools for this case study.
- Publikationsart
- Beiträge in Monografien, Sammelwerken, Schriftenreihen
- Titel
- Geodesigning Climate Change Adaptation on a Regional Level through Shelterbelt Provision in the Jingjinji Area
- Medien
- JoDLA − Journal of Digital Landscape Architecture
- Heft
- 2
- Band
- 2017
- ISBN
- 9783879076291
- Autoren
- Olaf Gerhard Schroth , Puyu Wang, Hrishikesh Ballal
- Seiten
- 125-135
- Veröffentlichungsdatum
- 12.06.2017
- Zitation
- Schroth, Olaf Gerhard; Wang, Puyu; Ballal, Hrishikesh (2017): Geodesigning Climate Change Adaptation on a Regional Level through Shelterbelt Provision in the Jingjinji Area. JoDLA − Journal of Digital Landscape Architecture 2017 (2), 125-135. DOI: 10.14627/537629013