Cellular Automata for Urban Growth Modeling: a Chronological Review on Factors in Transition Rules Agung Wahyudi and Yan Liu School of Geography, Planning and Environmental Management, The University of Queensland, Australia email corresponding author: a.wahyudi1@uq.edu.au Abstract Urban growth studies have attracted considerable attention over the past two decades. This article reviews the driving factors been identified and studied in cellular automata (CA) urban growth modeling. Over a hundred articles published between 1993 and 2012 were selected and reviewed. The driving factors were extracted from the transition rules and classified ac- cording to their similarity and mechanism in influencing urban growth. Our analysis shows that researches between 1993 and 2000 mainly focus on using geomorphological factors while recent studies tend to also in- clude socio-economic factors, resulting in more sophisticated urban CA models. Nevertheless, the human-behavior factors impacting urban growth are generally under-represented. Geographically, more applications of the CA urban growth models have been seen in the developed countries com- pared with those in the developing countries, suggesting substantial work needed to address issues in understanding and modeling rapid urban growth in the developing countries.