基于生态空间胁迫的大都市区增长情景模拟

doi:10.3724/SP.J.1047.2017.00020

摘要/Abstract

摘要：

大都市区增长是当前中国城镇化发展的一种主要模式,如何确定其最佳空间增长形态是新型城镇化关注的重要内容之一。本研究立足于未来“生态城市”建设理念,从自然资源生态敏感性和城市发展适宜性角度构建双重约束条件,利用元胞自动机模型构建了生态空间胁迫下的城市增长过程模拟框架,探讨了边缘性增长、生态性增长与协调性增长3种发展模式,并从建设适宜性、生态安全性与斑块紧凑性等角度构建评价指标对模拟方案进行定量化对比。最后,以长江中游城市群的南昌大都市区进行实例应用,结果表明,协调性空间增长模式能最大程度降低城市建设对生态安全空间的侵蚀,大都市区在制定城市增长边界等空间政策时宜参考此种发展模式,基于生态空间胁迫分析的城市增长过程建模是一种有用的规划决策情景分析工具。

关键词: 生态安全, 精明增长, 元胞自动机, 情景模拟, 南昌大都市区

Abstract:

The formation and growth of urban agglomerations have turned to be one of the main urbanization mode in China. New urbanization strategy issued by central government also gives specific attention to smart urban growth especially in rising urban agglomerations. How to select the optimized spatial pattern of urban growth for urban agglomerations becomes one of the most important parts in new urbanization planning. Cellular automata (CA) have proven to be efficient in modeling urban expansion and they have been widely applied to the simulation of urban growth in many cities. The simulation results derived from CA have also provided scientific references for making land use planning. This study established a modeling framework based on a constrained CA model to simulate the urban expansion with the consideration of ecological stress effect and it is oriented to the concept of building "ecological city in future ". The constraints of both ecological sensitivity and urban development suitability were incorporated into the urban growth modeling. Three main kinds of growth scenarios including the chaotic edge extension, the restrained expansion for ecological-conservation and the coordinated growth pattern were designed and discussed. The visual and quantitative comparison was further carried out to detect a plausible growth pattern for decision-making in land use planning. The three major indices including construction suitability, ecological security and landscape compactness were used to measure the rationality of the three designed scenarios, quantitatively. Meanwhile, urban agglomerations in the middle reach of the Yangtze River have turned to be the fourth growth pole in China, and Nanchang metropolitan area has become one of the most important development nodes of this growth pole. In recent years, Nanchang metropolitan area has experienced rapid urbanization, which has resulted in a series of ecological problems. Selecting an optimized spatial pattern is important and attractive to direct the future smart urban growth of Nanchang metropolitan area. Therefore, this study selected Nanchang metropolitan area as a case study area to analyze the rationality of the growth patterns. The results indicated that the coordinate growth scenario can meet the demands of both urban expansion and ecological conservation in Nanchang metropolitan area. The simulation pattern under this scenario can greatly reduce ecological stress effect from urban growth and also generate the highest total value of the selected three indices in 2049. The coordinate growth scenario can be used as a scientific reference for making spatial planning of Nanchang metropolitan area such as delimiting urban growth boundaries. This study also indicated that urban growth modeling incorporated with ecological stress effect can provide an efficient tool for decision-making in urban land use planning.

Key words: ecological security, smart growth, cellular automata, scenario simulation, Nanchang metropolitan area

马世发, 裴新生, 姚凯, 胡国华. 基于生态空间胁迫的大都市区增长情景模拟[J]. 地球信息科学学报, 2017, 19(1): 20-27.DOI:10.3724/SP.J.1047.2017.00020

MA Shifa,PEI Xinsheng,YAO Kai,HU Guohua. Multi-scenario Simulation of Urban Growth in Metropolitan Area Based on Ecological Stress Effect[J]. Journal of Geo-information Science, 2017, 19(1): 20-27.DOI:10.3724/SP.J.1047.2017.00020

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