AllenPMSanglierMEngelenG, et al. (1985) Towards a new synthesis in the modeling of evolving complex systems. Environment and Planning B: Planning and Design12(1): 65–84. DOI: 10.1068/b12006.
2.
BattyM (1992) Urban modeling in computer-graphic and geographic information system environments. Environment and Planning B: Planning and Design19(6): 663–688. DOI: 10.1068/b190663.
3.
BattyM (2001) Agent-based pedestrian modeling. Environment and Planning B: Planning and Design28(3): 321–326. DOI: 10.1068/b2803ed.
4.
BattyM (2008) Fifty years of urban modelling: macro-statics to micro-dynamics. In: AlbeverioSAndreyDGiordanoP, et al. (eds) The Dynamics of Complex Urban Systems: An Interdisciplinary Approach. New York, NY: Springer Physica-Verlag, 1–20.
BattyMXieY (1994) From cells to cities. Environment and Planning B: Planning and Design21(7): S31–S48. DOI: 10.1068/b21S031.
7.
BattyMCouclelisHEichenM (1997) Urban systems as cellular automata. Environment and Planning B: Planning and Design24(2): 159–164. DOI: 10.1068/b240159.
8.
ClarkeKCHoppenSGaydosL (1997) A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design24(2): 247–261. DOI: 10.1068/b240247.
9.
ClarkeKCGazulisNDietzelCK, et al. (2006) A decade of SLEUTHing: lessons learned from applications of a cellular automaton land use change model. In: FisherP (ed) Classics from IJGIS: Twenty Years of the International Journal of Geographical Information Science and Systems. Boca Raton, FL: Taylor & Francis, 413–426.
10.
EvansTPMansonS (2007) Space, complexity, and agent-based modeling. Environment and Planning B: Planning and Design34(2): 196–199. DOI: 10.1068/b3402ed.
11.
HaklayMO'SullivanDThurstain-GoodwinM, et al. (2001) “So go downtown”: simulating pedestrian movement in town centres. Environment and Planning B: Planning and Design28(3): 343–359. DOI: 10.1068/b2758t.
12.
LuYLaffanSPettitC, et al. (2020) Land use change simulation and analysis using a vector cellular automata (CA) model: a case study of Ipswich City, Queensland, Australia. Environment and Planning B: Urban Analytics and City Science47(9): 1605–1621. DOI: 10.1177/2399808319830971.
13.
SandersLPumainDMathianH, et al. (1997) SIMPOP: a multiagent system for the study of urbanism. Environment and Planning B: Planning and Design24(2): 287–305. DOI: 10.1068/b240287.
14.
SaricaGMZhuTJianW, et al. (2021) Spatio-temporal dynamics of flood exposure in Shenzhen from present to future. Environment and Planning B: Urban Analytics and City Science48(5): 1011–1024. DOI: 10.1177/2399808321991540.
15.
TorrensPMO'SullivanD (2001) Cellular automata and urban simulation: where do we go from here?Environment and Planning B: Planning and Design28(2): 163–168. DOI: 10.1068/b2802ed.
16.
YinLChenJZhangHYZ, et al. (2020) Improving emergency evacuation planning with mobile phone location data. Environment and Planning B: Urban Analytics and City Science47(6): 964–980. DOI: 10.1177/2399808319874805.