Modeling urban dynamics through GIS-based cellular automata

M. Batty, Yichun Xie, Zhanli Sun
1999 Computers, Environment and Urban Systems  
In urban systems modeling, there are many elaborate dynamic models based on intricate decision processes whose simulation must be based on customized software if their space±time properties are to be explored eectively. In this paper we present a class of urban models whose dynamics are based on theories of development associated with cellular automata (CA), whose data is ®ne-grained, and whose simulation requires software which can handle an enormous array of spatial and temporal model
more » ... We ®rst introduce the generic problem of modeling within GIS, noting relevant CA models before outlining a generalized model based on Xie's (1996, A general model for cellular urban dynamics. Geographical Analysis, 28, 350±373)"dynamic urban evolutionary modeling" (DUEM) approach. We present ways in which land uses are structured through their life cycles, and ways in which existing urban activities spawn locations for new activities. We de®ne various decision rules that embed distance and direction, density thresholds, and transition or mutation probabilities into the model's dynamics, and we then outline the software designed to generate eective urban simulations consistent with GIS data inputs, outputs and related functionality. Finally, we present a range of hypothetical urban simulations that illustrate the diversity of model types that can be handled within the framework as a prelude to more realistic applications which will be reported in later papers. # Computers, Environment and Urban Systems 23 (1999) 205±233 www.elsevier.com/locate/compenvurbsys 0198-9715/99/$ -see front matter # 1999 Published by Elsevier Science Ltd. All rights reserved. P I I : S 0 1 9 8 -9 7 1 5 ( 9 9 ) 0 0 0 1 5 -0
doi:10.1016/s0198-9715(99)00015-0 fatcat:2md3untasrfl5ba62hewgcfqmm