| Residential expansion has been the focus of the urban planners as well as the government during the past decade. Due to the complexity of the residential expansion process, it is very difficult to understand how human behaviours affect this process, not to mention how to present such relationships in fine urban models. In this research, analysis is carried out for exploring effective means to understand residential expansion, and then DPSIR framework and MAS/LUCC model are chosen for contributing to such understanding.DPSIR is applied for its capability of analyzing in a cause-effects way and thus to answer "what" behaviours will have effects on residential growth. Then as for MAS/LUCC model, it is taken as a more effective method for understanding "when", "where" and "how" issues of residential expansion process for two components integrated within this model through specification of interdependencies and feedbacks between agents and their environment..Then a MAS/LUCC model is built up for understanding residential expansion with effects of human behaviors in Hongshan, Wuhan city, China. And this model is implemented by simulating residential expansion from 1996 to 2002 in study area. The result turns out to have a user precision of 52%. Although not very high a precision, this model demonstrates to be theoretically sound; and its capability in presenting spatio-temporal and behavioural complexity of residential expansion process prove it to be practically promising.Finally, some discussions about problems in this model as well as possible solutions are given, and recommendations as well as future work are suggested. It is pointed out that this study demonstrates suitability for understanding complex urban processes. The methods put forward here represent a move toward more theoretically sound, behaviourally realistic, and ultimately more useful modelling methods. Especially for policy makers and urban planners, it can be taken as policy and management decision making support.
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