Agent-based models (ABMs) are increasingly recognized as valuable tools in modelling
human-environmental systems, but challenges and critics remain. One pressing challenge …

This article presents an overview of the agent‐based modeling and simulation approach
and its recent developments in transport fields, with the purpose of discovering the …

Urban land-use modeling methods have experienced substantial improvements in the last
several decades. With the advancement of urban land-use change theories and modeling …

We present a new bilateral agent-based land market model, which moves beyond previous
work by explicitly modeling behavioral drivers of land-market transactions on both the buyer …

In this short communication, we examine how agent-based modeling has become common
in land change science and is increasingly used to develop case studies for particular times …

Agent-based modeling (ABM) is an emerging modeling approach. In the past two decades,
agent-based models have been increasingly adapted by social scientists, especially …

This paper describes a spatially disaggregated, economic agent-based model of urban land
use, which is named for its innovative feature of coupled housing and land markets …

Floods are among the costliest natural hazards and their consequences are expected to
increase further in the future due to urbanization in flood-prone areas. It is essential that …

We review the usefulness of urban spatial economic models of land use change for the
study and policy analysis of spatial land use–environment interactions. We find that …

This paper introduces an economic agent-based model of an urban housing market. The
RHEA (Risks and Hedonics in Empirical Agent-based land market) model captures natural …