In recent years,regional integration of Chinese cities has gradually developed.Meanwhile,metropolitan areas and urban agglomerations have taken shape.On the one hand,the development of the metropolitan area has brough...In recent years,regional integration of Chinese cities has gradually developed.Meanwhile,metropolitan areas and urban agglomerations have taken shape.On the one hand,the development of the metropolitan area has brought about urban spatial expansion,as well as population and economic growth.On the other hand,it has led to problems such as the urban sprawl and suburbanization,increasing pressure on environmental resources,and the decline of urban central areas.Under this background,the Guangdong-Hong Kong-Macao Greater Bay Area Development Plan Outline proposes to accelerate the integration of Guangzhou-Foshan(Guang Fo)Metropolitan Coordinating Region(MCR),and to construct a networked space pattern driven by urban poles and shafts.Based on the academic research of Metropolitan Coordinating Region(MCR),as well as the theory of urban spatial structure and morphology,this study focus on urban spatial patterns and elements in different scales,from two individual cites(Guangzhou and Foshan),Guang Fo MCR,to Guangdong-Hong Kong-Macao(GHM)Greater Bay Area.With GIS and the mapping method,the spatial elements such as green space,water system,built-up area,road network,rail transit network and main pivot points of the Guang Fo MCR are classified,laid out individually and again overlaid in order to figure out the relationship of these elements.At the same time,through the comparative case study of the Randstad MCR in the Netherlands,the enlightenment of solving the development problem of MCR is hopefully to be obtained.As delta cities,the Guang Fo MCR is cut by the multi-channel water network,while the urban built-up area is concentrated in the middle of the MCR and spread out along the traffic corridor to the suburban district.The traffic structure of the Guang Fo MCR is characterized by the outward radiation of the central area of Guangzhou and Foshan.Simultaneously,the traffic connection between Guangzhou and Foshan is relatively weak.Compared with the polycentric spatial structure,which is called Decentralized Compact pattern of Randstad MCR,the Guang Fo MCR presents a city form with little hierarchy but homogeneity,and its urban space is disorderly spread.The bluegreen system of water and vegetation is fragmented because of the urban invasion in Guang Fo MCR,while the green heart in central Randstad is well preserved.As a result,it is well advised to explore a more resilient and ecological urban development in Guang Fo MCR.展开更多
为优化江川区土地利用空间格局,促进土地可持续发展,该文以云南省玉溪市江川区为研究区,将CLUE-S(conversion of land use and its effects at small region extent)模型和生态敏感性分析应用于江川区土地利用空间格局优化配置。以高度...为优化江川区土地利用空间格局,促进土地可持续发展,该文以云南省玉溪市江川区为研究区,将CLUE-S(conversion of land use and its effects at small region extent)模型和生态敏感性分析应用于江川区土地利用空间格局优化配置。以高度敏感区为CLUE-S模型中区域约束文件,突出研究区生态保护重点区域,并以综合生态敏感性分区为影响研究区土地利用变化的驱动力因子,提出一种将生态敏感性融入土地利用空间格局优化配置的过程和结果中的土地利用情景模拟方法,并借助2006年和2016年土地利用数据对江川区自然发展情景和土地生态优化情景2种模式下2025年的土地利用空间格局进行优化配置,并基于生态敏感性分区对优化配置模拟结果进行对比分析。结果表明:2种情景下2025年江川区土地利用格局既有共同特征也存在差异。在2种情景下均有效的保护了原有林地、耕地、未利用地和建设用地格局,但新增林地、草地等空间分布格局不同。根据2025年2种情景与2016年土地利用现状在不同敏感性区内主要土地利用类型分布情况表明,情景二土地利用空间格局优于自然发展情景和2016年土地利用现状。研究结果认为土地生态优化情景更为合理,该结果可为江川区生态保护和城镇发展提供参考。展开更多
为探索一种客观、量化且能解决多目标决策问题的土地利用空间优化配置方法,在"资源节约"与"环境友好"目标约束下,设计应用于土地利用空间优化配置的多智能体遗传进化算法,构建多目标土地利用空间优化配置MOSOLUA(Mu...为探索一种客观、量化且能解决多目标决策问题的土地利用空间优化配置方法,在"资源节约"与"环境友好"目标约束下,设计应用于土地利用空间优化配置的多智能体遗传进化算法,构建多目标土地利用空间优化配置MOSOLUA(Multi objective spatial optimization model for land use allocation)模型;以国家资源节约型和环境友好型社会建设综合配套改革实验区——长株潭城市群的核心区域为例,进行多目标土地利用空间优化配置应用研究。研究结果表明:基于MOSOLUA模型得到的优化后的土地利用格局的资源节约与环境友好程度较优化前有明显提高;MOSOLUA模型的收敛速度较普通遗传算法模型的快,实证应用所花时间由8.57 h减少到3.31 h,运行效率提高61.38%;模型的总体适应度与采用普通遗传算法的优化配置模型相比提高了12.57%。展开更多
基金the financial support given by National Natural Science Foundation Projects of International Cooperation and Exchange of China(No.51761135025)National Natural Science Foundation General Program of China(No.51778233)Science and Technology Program of Guangzhou,China(No.201707020041)
文摘In recent years,regional integration of Chinese cities has gradually developed.Meanwhile,metropolitan areas and urban agglomerations have taken shape.On the one hand,the development of the metropolitan area has brought about urban spatial expansion,as well as population and economic growth.On the other hand,it has led to problems such as the urban sprawl and suburbanization,increasing pressure on environmental resources,and the decline of urban central areas.Under this background,the Guangdong-Hong Kong-Macao Greater Bay Area Development Plan Outline proposes to accelerate the integration of Guangzhou-Foshan(Guang Fo)Metropolitan Coordinating Region(MCR),and to construct a networked space pattern driven by urban poles and shafts.Based on the academic research of Metropolitan Coordinating Region(MCR),as well as the theory of urban spatial structure and morphology,this study focus on urban spatial patterns and elements in different scales,from two individual cites(Guangzhou and Foshan),Guang Fo MCR,to Guangdong-Hong Kong-Macao(GHM)Greater Bay Area.With GIS and the mapping method,the spatial elements such as green space,water system,built-up area,road network,rail transit network and main pivot points of the Guang Fo MCR are classified,laid out individually and again overlaid in order to figure out the relationship of these elements.At the same time,through the comparative case study of the Randstad MCR in the Netherlands,the enlightenment of solving the development problem of MCR is hopefully to be obtained.As delta cities,the Guang Fo MCR is cut by the multi-channel water network,while the urban built-up area is concentrated in the middle of the MCR and spread out along the traffic corridor to the suburban district.The traffic structure of the Guang Fo MCR is characterized by the outward radiation of the central area of Guangzhou and Foshan.Simultaneously,the traffic connection between Guangzhou and Foshan is relatively weak.Compared with the polycentric spatial structure,which is called Decentralized Compact pattern of Randstad MCR,the Guang Fo MCR presents a city form with little hierarchy but homogeneity,and its urban space is disorderly spread.The bluegreen system of water and vegetation is fragmented because of the urban invasion in Guang Fo MCR,while the green heart in central Randstad is well preserved.As a result,it is well advised to explore a more resilient and ecological urban development in Guang Fo MCR.
文摘为优化江川区土地利用空间格局,促进土地可持续发展,该文以云南省玉溪市江川区为研究区,将CLUE-S(conversion of land use and its effects at small region extent)模型和生态敏感性分析应用于江川区土地利用空间格局优化配置。以高度敏感区为CLUE-S模型中区域约束文件,突出研究区生态保护重点区域,并以综合生态敏感性分区为影响研究区土地利用变化的驱动力因子,提出一种将生态敏感性融入土地利用空间格局优化配置的过程和结果中的土地利用情景模拟方法,并借助2006年和2016年土地利用数据对江川区自然发展情景和土地生态优化情景2种模式下2025年的土地利用空间格局进行优化配置,并基于生态敏感性分区对优化配置模拟结果进行对比分析。结果表明:2种情景下2025年江川区土地利用格局既有共同特征也存在差异。在2种情景下均有效的保护了原有林地、耕地、未利用地和建设用地格局,但新增林地、草地等空间分布格局不同。根据2025年2种情景与2016年土地利用现状在不同敏感性区内主要土地利用类型分布情况表明,情景二土地利用空间格局优于自然发展情景和2016年土地利用现状。研究结果认为土地生态优化情景更为合理,该结果可为江川区生态保护和城镇发展提供参考。
文摘为探索一种客观、量化且能解决多目标决策问题的土地利用空间优化配置方法,在"资源节约"与"环境友好"目标约束下,设计应用于土地利用空间优化配置的多智能体遗传进化算法,构建多目标土地利用空间优化配置MOSOLUA(Multi objective spatial optimization model for land use allocation)模型;以国家资源节约型和环境友好型社会建设综合配套改革实验区——长株潭城市群的核心区域为例,进行多目标土地利用空间优化配置应用研究。研究结果表明:基于MOSOLUA模型得到的优化后的土地利用格局的资源节约与环境友好程度较优化前有明显提高;MOSOLUA模型的收敛速度较普通遗传算法模型的快,实证应用所花时间由8.57 h减少到3.31 h,运行效率提高61.38%;模型的总体适应度与采用普通遗传算法的优化配置模型相比提高了12.57%。
