A game-theory based agent-cellular model for use in urban growth simulation: A case study of the rapidly urbanizing Wuhan area of central China
作者: Ronghui TanYaolin LiuKehao ZhouLimin JiaoWei Tang
作者单位: 1School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, Hubei Province, PR China
2Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, Hubei Province, PR China
刊名: Computers, Environment and Urban Systems, 2015, Vol.49 , pp.15-29
来源数据库: Elsevier Journal
DOI: 10.1016/j.compenvurbsys.2014.09.001
关键词: Urban growthGame theoryCellular automataAgent-based modelWuhan
英文摘要: Abstract(#br)Accurate modeling of urban growth is an extremely important component of urban geographic studies and is also vital for future urban planning. The trajectories of urban growth can be monitored and modeled by the use of geographic information system techniques, remote sensing data, and statistical analysis. In this study, we couple game theory with an integrated agent-cellular method to develop a model of the major determinants controlling urban development, which not only accounts for socioeconomic driving forces but also captures human actions. Wuhan, the largest city in central China, is undergoing rapid urbanization and is facing uncontrolled urban expansion. The city proper region of Wuhan is selected as the case study area to simulate urban growth during the period...
全文获取路径: Elsevier  (合作)
影响因子:1.674 (2012)

  • growth 生长
  • agent 因子
  • Agent 化学药剂
  • automata 自动机
  • rapidly 迅速地
  • simulation 模拟
  • urban 城市
  • model 模型
  • based 基于
  • central 中心的