• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Geoinformatics 2008 and joint conference on GIS and built envirnment : Geo-simulation and virtual GIS environments >Modeling and predicting urban growth pattern of the Tokyo metropolitan area based on cellular automata
【24h】

Modeling and predicting urban growth pattern of the Tokyo metropolitan area based on cellular automata

机译：基于元胞自动机的东京都会区城市增长模式建模与预测

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The period of high economic growth in Japan which began in the latter half of the 1950s led to a massive migration of population from rural regions to the Tokyo metropolitan area. This phenomenon brought about rapid urban growth and urban structure changes in this area. Purpose of this study is to establish a constrained CA (Cellular Automata) model with GIS (Geographical Information Systems) to simulate urban growth pattern in the Tokyo metropolitan area towards predicting urban form and landscape for the near future. Urban land-use is classified into multi-categories for interpreting the effect of interaction among land-use categories in the spatial process of urban growth. Driving factors of urban growth pattern, such as land condition, railway network, land-use zoning, random perturbation, and neighborhood interaction and so forth, are explored and integrated into this model. These driving factors are calibrated based on exploratory spatial data analysis (ESDA), spatial statistics, logistic regression, and "trial and error" approach. The simulation is assessed at both macro and micro classification levels in three ways: visual approach; fractal dimension; and spatial metrics. Results indicate that this model provides an effective prototype to simulate and predict urban growth pattern of the Tokyo metropolitan area.
机译：1950年代后半期开始的日本经济高速增长时期，导致人口大量从农村地区迁移到东京都。这种现象使该地区的城市迅速发展，城市结构发生了变化。这项研究的目的是利用GIS（地理信息系统）建立一个受约束的CA（元胞自动机）模型，以模拟东京都会区的城市增长模式，以预测不久的将来的城市形态和景观。城市土地利用可分为多个类别，以解释土地利用类别之间的相互作用在城市增长的空间过程中的作用。探索并结合了城市发展模式的驱动因素，如土地状况，铁路网络，土地利用分区，随机扰动和邻里相互作用等。这些驱动因素是根据探索性空间数据分析（ESDA），空间统计信息，逻辑回归和“试验与错误”方法进行校准的。在宏观和微观分类级别上，通过三种方式对模拟进行评估：视觉方法;分形维数和空间指标。结果表明，该模型提供了一个有效的原型，可以模拟和预测东京都会区的城市增长模式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号