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040 _aMSU
_cMSU
_erda
100 _aChen, Yimin
_eauthor
245 _aDefining agents' behaviour based on urban economic theory to simulate complex urban residential dynamics
_ccreated by Yimin Chen, Xia Li, Shuji Wang and Xiaoping Liu
264 _bTaylor and Francis
_c2012
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
440 _vVolume , number ,
520 _aIn recent years, agent-based models (ABMs) have become a prevalent approach for modelling complex urban systems. As a class of bottom-up method, ABMs are capable of simulating the decision-making as well as the multiple interactions of autonomous agents and between agents and the environment. The definition of agents' behaviour is a vital issue in implementing ABMs to simulate urban dynamics. Urban economic theory has provided effective ways to cope with this problem. This theory argues that the formation of urban spatial structure is an endogenous process resulting from the interactions among individual actors that are spatially distributed. However, this theory is used to explain urban phenomena regardless of spatial heterogeneity in most cases. This study combines GIS, ABM and urban economic models to simulate complex urban residential dynamics. The time-extended model is incorporated into an ABM so as to define agents' behaviour on a solid theoretical basis. A spatial variable is defined to address the neighbourhood effect by considering spatial heterogeneity. The proposed model is first verified by the simulation of three scenarios using hypothetical data: (1) single dominated preference; (2) varying preferences on the basis of income level; and (3) spatially heterogeneous environment. Then the model is implemented by simulating the residential dynamics in Guangzhou, China.
650 _aagent-based model
650 _aurban economic theory
650 _atime-extended model
856 _uhttps://doi.org/10.1080/13658816.2011.626780
942 _2lcc
_cJA
999 _c160603
_d160603