Uncovering Stakeholders’ Participation to Better Understand Land Use Change Using Multi-Agent Modeling Approach: An Example of the Coal Mining Area of Shanxi, China

Recent decades have witnessed increasing human disruption and the acceleration of fragile natural habitats, especially in coal mining areas developing countries or regions, which will inevitably lead to sharp land use cover change (LUCC). Most LUCC models focus more on research “land” than “human” human-land coupled systems, while simulation prediction involving stakeholders are still deficient. Aiming reveal shaping process through stakeholders’ participation, we conducted an in-depth interview a typical area Shanxi, China, developed agent-based model by quantifying land-use decision-making rules simulate predict different scenarios. The analysis illustrated that participation periods had shaped pattern mine area. cultivated has decreased from 272.34 hm2 118.89 hm2, industrial increased dramatically 78.66 2012 2019. attitude willingness farmers towards varied greatly were affected livelihood capital. Part-time whose agricultural income only accounted for 20–80% total favor farmland requisition enterprises compared full-time farmers. We quantified between attributes at micro level changes macro proposed multi-agent model, was effective verified fitting test where overall accuracy Kappa coefficient 0.83 could be used future setting decision parameters specific These outcomes provided scientific reference landscape coupling system promoting effectiveness spatial planning policies.