Agent Based Modeling

Agent-based modelling of post-disaster recovery with remote sensing data

In this paper, we systematically reviewed the ABMs that explore mid to long-term reactions of socio-economic systems to flood hazards...

Download BENCH agent based model

Open Access agent-based model to study shifts in residential energy use and corresponding emissions driven by behavioral changes among heterogeneous individuals.

Download ABM of households PV investments

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.

Download ABM of post-disaster recovery

Open Access agent-based model to model urban recovery processes driven by location choices of diverse households.

A review of agent-based flood risk models

In this paper, we systematically reviewed the ABMs that explore mid to long-term reactions of socio-economic systems to flood hazards...

Download our ABM model on risk perception and housing prices

Open Access agent-based model to simulate the aggregated impacts of households’ residential location choices and their changing risk perceptions in response to flooding.

Socio-economic data from slums in Bangalore, India

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

Repetitive floods intensify outmigration and climate gentrification in coastal cities

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

Empirical agent-based land market in urban land-use models

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.

Improved Methods for Predicting Property Prices

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.
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Agent Based Modeling

Agent-based model is a computer code representing how many heterogeneous adaptive economic agents – households, firms, farmers, governmental institutions – make decisions and interact with each other and their environment according to different behavioral rules.