In recent history of urban studies there is a focus on sustainable urbandevelopment and long-term strategies. Dealing with brownfield redevelopment is ofvital importance for the prosperous practice of urban planning. The current decisionmaking methods for brownfield redevelopment are mainly used for evaluating on-sitesituation, but not for future development plans. The purpose of this paper is to considerpotential uses of agent-based modelling (ABM) in brownfield redevelopment decisionsupport practice. In these models, agents are assigned with certain rules of behaviourthat define their mutual interactions and allow simulations in a previously definedspatial framework. These collective behaviours influence the spatial patterns throughinteractions of individuals, which is reflected in the fact that the actions of the agentsdo not simply sum to the activity of the whole. This tool provides us with opportunity ofobserving possible scenarios of future brownfield development and making adequatedecisions and strategies accordingly.
展开▼
