Open Access agent-based model to explore diffusion of households' solar panel investment decisions and their regional impacts in terms of CO2 reductions and monetary gains of heterogeneous households.

We present a novel methodology to scale up behavioral changes among heterogeneous individuals regarding energy choices while tracing their macroeconomic and cross-sectoral impacts...

Our results suggest that pure market-driven processes can cause shifts in demographics in climate-sensitive hotspots placing low-income households further at risk...

The use of simulation models is essential when exploring transitions to low-carbon futures and climate change mitigation and adaptation policies. There are many models developed to understand socio-environmental processes and interactions, and analyze alternative scenarios, but hardly one single model can serve all the needs.

This paper introduces an economic agent-based model of an urban housing market. Our Risks and Hedonics in Empirical Agent-based land market (RHEA) model captures natural hazard risks and environmental amenities through hedonic analysis, facilitating empirical agent-based land market modeling.

Property prices are affected by changing market conditions, incomes and preferences of people. Price trends in natural hazard zones may shift significantly and abruptly after a disaster signalling structural systemic changes in property markets.

We first start from the theory to isolate the cause-effect relationships and to formulate hypotheses. We then collect a set of very different data, ranging from market transactions to GIS, Lab experiments and surveys to test alternative behavioral theories and compare to observed macro data.