Version 1
: Received: 29 July 2024 / Approved: 29 July 2024 / Online: 29 July 2024 (14:57:09 CEST)
How to cite:
Selje, T.; Islam, R.; Heinz, B. An Assessment of Agent-Based Modelling Tools for Community-Based Adaptation to Climate Change. Preprints2024, 2024072328. https://doi.org/10.20944/preprints202407.2328.v1
Selje, T.; Islam, R.; Heinz, B. An Assessment of Agent-Based Modelling Tools for Community-Based Adaptation to Climate Change. Preprints 2024, 2024072328. https://doi.org/10.20944/preprints202407.2328.v1
Selje, T.; Islam, R.; Heinz, B. An Assessment of Agent-Based Modelling Tools for Community-Based Adaptation to Climate Change. Preprints2024, 2024072328. https://doi.org/10.20944/preprints202407.2328.v1
APA Style
Selje, T., Islam, R., & Heinz, B. (2024). An Assessment of Agent-Based Modelling Tools for Community-Based Adaptation to Climate Change. Preprints. https://doi.org/10.20944/preprints202407.2328.v1
Chicago/Turabian Style
Selje, T., Rayhan Islam and Boris Heinz. 2024 "An Assessment of Agent-Based Modelling Tools for Community-Based Adaptation to Climate Change" Preprints. https://doi.org/10.20944/preprints202407.2328.v1
Abstract
Human induced climate change led to the recognition of Community-Based Adaptation (CBA) as one of the remedies in building adaptive capacity and resilience of communities. It recognizes the agency of communities in shaping the optimal strategy. CBA interventions are vital in addressing community needs and contextual specificities, enable participatory and inclusive engagement and thereby facilitate more profound adaptation impacts. Agent-based modelling (ABM) has the potential to be an invaluable approach in developing tailored adaptation strategies considering capacities, resources, skills, priorities, needs and the cultural context of local communities. ABM allows to capture the complex relationships among various components within community decision making on CBA actions, the CBA actions themselves and the environment, however available tools provide for various degrees of freedom in agent definition, sensitivity analysis, scalability, experiment design and output analysis to name a few. This article assesses all available ABM modelling and simulation tools for its application in the context of CBA. NetLogo emerges as the most suitable tool for incorporating and handling the special features of CBA. It is closely followed by GAMA and Envision. The article provides insights and guidance to researchers and practitioners in selecting ABM tools aligned with the specific requirements of their CBA simulations and projects.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
