地理学报 ›› 2020, Vol. 75 ›› Issue (10): 2164-2179.doi: 10.11821/dlxb202010009

• 城市与区域发展 • 上一篇    下一篇

多层次矢量元胞自动机建模及土地利用变化模拟

孙毅中1,2,3(), 杨静1,2,3, 宋书颖1,2,3, 朱杰4, 戴俊杰5   

  1. 1.南京师范大学虚拟地理环境教育部重点实验室,南京 210023
    2.江苏省地理环境演化国家重点实验室培育建设点,南京 210023
    3.江苏省地理信息资源开发与利用协同创新中心,南京 210023
    4.南京林业大学土木工程学院,南京 210037
    5.江阴市城乡规划设计院,江阴 214433
  • 收稿日期:2019-11-08 修回日期:2020-06-09 出版日期:2020-10-25 发布日期:2020-12-25
  • 作者简介:孙毅中(1957-), 男, 江苏常州人, 教授, 博士生导师, 主要从事时空数据分析与城市规划GIS研究。E-mail: sunyizhong_cz@163.com
  • 基金资助:
    国家自然科学基金项目(41671392);国家自然科学基金项目(41871297)

Modeling of multilevel vector cellular automata and its simulation of land use change

SUN Yizhong1,2,3(), YANG Jing1,2,3, SONG Shuying1,2,3, ZHU Jie4, DAI Junjie5   

  1. 1. Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
    2. State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    4. College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
    5. Jiangyin Urban and Rural Planning and Design Institute, Jiangyin 214433, Jiangsu, China
  • Received:2019-11-08 Revised:2020-06-09 Published:2020-10-25 Online:2020-12-25
  • Supported by:
    National Natural Science Foundation of China(41671392);National Natural Science Foundation of China(41871297)

摘要:

城市规划对土地利用变化起着重要的引导作用,各层次规划相互支撑、互为补充,自上而下影响着土地利用格局的演变。矢量元胞自动机以不规则的地理实体作为基本单元,可以更逼真地表达客观复杂的城市用地空间结构。然而,当面向具有层次协同性、空间引导性和管控传导性等特征的城市规划时,其元胞多层次体系构造、层次间协同方法和转换规则获取等关键问题凸显出来。本文以江阴市2007年、2012年、2017年3期土地利用现状数据为基础,在多层次矢量元胞自动机建模基础上,模拟了2017年土地利用变化,通过模拟结果与用地现状对比分析,对模型个别参数进行了修正,进一步提高了模型的可行性与适用性,进而预测了2022年城市土地利用格局。模拟结果显示,中心城片区建设用地发展已经趋于饱和,澄南、澄东南和澄东片区建设用地扩张较为明显,有逐步形成“中心城区—城镇组团—村庄”三级城乡空间聚落体系的趋势。最后利用FoM指标对模拟结果进行了评价,得到整体和各片区的精度基本都大于或接近于0.21,表明模拟结果精度较高,其构建的模型在面向多层次规划的用地变化模拟方面具有更好的效果。

关键词: 城市规划体系, 多层次矢量元胞自动机, 传导机制, 土地利用变化, 建模与模拟

Abstract:

Urban planning plays an important guiding role in land use change. The planning at all levels supports and complements each other, and influences the evolution of land-use pattern from top to bottom. Vector cellular automata, which takes irregular geographical entities as its basic units, can express the objective and complicated urban land use structure in a more realistic way, and has become one of the focus in the land use change research. However, when we face urban planning with the characteristics of hierarchical synergy, spatial guidance and controlled conductivity, some key issues are highlighted, such as the establishment of CA hierarchical system, the construction of hierarchical synergy and the acquisition of transition rules. After constructing the multilevel vector CA model, we chose Jiangyin City as the study area and its land use data covering the years 2007, 2012 and 2017 as the basic data to simulate the land use changes from 2012 to 2017. On the basis of multilevel vector cellular automata model, through the comparative analysis between the simulation results and the current situation of land use in 2017, the individual parameters of the model were modified to further improve the feasibility and applicability of the model, and then the urban land use pattern in 2022 was predicted. The simulation results indicated that the development of construction land in Central District has become saturated, while the expansions of construction land in Chengnan District, Chengdongnan District and Chengdong District were obvious. From an overall perspective, there was a tendency to gradually form a three-level urban-rural spatial settlement system "central city area-urban agglomeration-village". Using FoM index, we concluded that the simulation results had great simulation precision and the model had high feasibility and applicability, because the FoM values of the whole city and each district were almost greater than or close to 0.21. This shows that the simulation results are more accurate and the model is more effective in the simulation of land use change based on urban planning.

Key words: urban planning system, multilevel vector cellular automata, transmission mechanism, land use change, modelling and simulation