| Title: |
A “Scope, Simulation, and Story” approach to identify future spatial development scenarios |
| Authors: |
Roman, Orlando; id_orcid:0 000-0003-3366-2169; Kwakkel , Jan; Adey, Bryan T.; Black, Benjamin |
| Publisher Information: |
OSF |
| Publication Year: |
2025 |
| Collection: |
ETH Zürich Research Collection |
| Subject Terms: |
Scenario planning; Spatial clustering; Cellular automata; Model-based planning support; Decision-making under deep uncertainty |
| Description: |
Scenario planning often qualitatively develops storylines. These scenarios are usually depicted in a 2 × 2 scenario matrix, where it is challenging to define, for example, the drivers of change to consider in the axes and the boundaries between scenarios. In this qualitative approach, simulation models are typically used as evaluation tools only after the scenarios are generated. This approach is commonly known in the literature as “Story and Simulation”. This study introduces a “Scope, Simulation, and Story” approach, which has the potential to enhance scenario planning by informing the development of scenarios through computational modelling. Thus, we can integrate participatory processes, spatial development simulation models, and spatial analysis to define scenario boundaries that reflect spatial patterns. We applied this method to simulate spatial development in the Canton of Zurich for 2050 using a cellular automata Land Use Cover Change (LUCC) model. |
| Document Type: |
conference object |
| File Description: |
application/application/pdf |
| Language: |
English |
| Relation: |
https://hdl.handle.net/20.500.11850/791460 |
| DOI: |
10.3929/ethz-c-000791460 |
| Availability: |
https://hdl.handle.net/20.500.11850/791460; https://doi.org/10.3929/ethz-c-000791460 |
| Rights: |
info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ ; Creative Commons Attribution 4.0 International |
| Accession Number: |
edsbas.62D1ED86 |
| Database: |
BASE |