In recent history of urban studies there is a focus on sustainable urban
development and long-term strategies. Dealing with brownfield redevelopment
is of vital importance for the prosperous practice of urban planning. The
current decisionmaking methods for brownfield redevelopment are mainly used
for evaluating on-site situation, but not for future development plans. The
purpose of this paper is to consider potential uses of agent-based modelling
(ABM) in brownfield redevelopment decision support practice. In these
models, agents are assigned with certain rules of behaviour that define
their mutual interactions and allow simulations in a previously defined
spatial framework. These collective behaviours influence the spatial
patterns through interactions of individuals, which is reflected in the fact
that the actions of the agents do not simply sum to the activity of the
whole. This tool provides us with opportunity of observing possible
scenarios of future brownfield development and making adequate decisions and
strategies accordingly.
Simulating emergencies with transport outcomes Sim (SETOSim): Application of an agent-based decision support tool to community evacuation planning
