• 责任者：Ma Shifa (School of Geography and Planning ; Sun Yat-Sen University ; Guangzhou 510275 ; China) ; Ai Bin
• 刊名：Scientia Geographica Sinica
• 出版年：2013
• 卷期：33(10)
• 关键词：元胞自动机 ; cellular automata ; 建设用地 ; built-up and associated land
• 页码：p.1245-1251
• 图表：4 illus., 2 tables, 22 refs.
• 分类号：2000
• issnNo：ISSN1000-0690
• isbnNo：CN22-1124/P

     It has been proved that cellular automata （CA） model can simulate complex geographical process ef fectively only with simple conversion rules. According to the principle of traditional forecasting CA, a con strained CA model by combination of spatial development strategies was proposed in this article. In the model, the influence factors of land use evolution such as spatial indices, constrained conditions as well as planning policies were integrated to derive the layout rules of construction land. The proposed model will be used as an efficient tool for allocating urban construction land. Selecting Guangzhou city, a fast developing region in Pearl River Delta, as study area, the constrained CA model was further implemented and validated referring to current land use planning outline of China. It was shown that the most appropriate distribution of construction land can be efficiently achieved with the constrained CA. Urban Growing Boundary （UGB） and land use zon ing can be further delimited based on the simulation results during different planning periods, which shows higher similarity with the layout planning of the case study area, Guangzhou City. The simulation results can provide scientific information for land use planning, and the constrained CA coupled with the planning scheme is capable of assisting decision-makers to allocate the construction land.