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Exploration of smart city construction under new urbanization: A case study of Jinzhou-Huludao Coastal Area

机译:新城市化智能城市建设探索 - 以锦州 - 葫芦岛沿海地区为例

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Smart city construction is an important direction of global urban development, which reflects the bright future of human life. Building smart cities is also a long-term task for China to promote new-type urbanization and healthy urban development. Nowadays, China's new urbanization takes wisdom, intelligence and green ecology as the core theory, and an increasing cities have joined the planning and construction of green ecology, intelligent and intelligent urbanization. Landscape pattern optimization is one of the important ways in achieving regional ecological security. With the rapid development of urbanization, the ecological space has been continuously compressed. How to coordinate the contradiction between regional ecological security and social and economic development has become the main problem facing China's land use. In this study, GLP-ESA-ACO coupling model is used to optimize the allocation of landscape pattern under the goal of ecological security and economic coordination, and Jinzhou-Huludao coastal area is taken as an example for empirical research. Maximizing comprehensive benefits is taken as the objective of optimizing landscape pattern allocation, and GLP is applied to quantitatively constrain landscape types from three aspects of ecological security, ecological service function and social and economic development. Based on the ecological suitability assessment of construction land, considering the change rule of landscape pattern characteristics and the ecological service value of each land type, the appropriate land use distribution map is determined as the spatial constraint of landscape pattern optimization. Using ant colony optimization algorithm, under the constraints of quantity and space, and under the guidance of ecological protection, the optimization sequence is determined, and the optimal allocation results of various landscape types are obtained and superimposed to obtain the final optimal allocation map of landscape pattern in Jinzhou-Huludao coastal area. The results show that: (1) The optimal plan meets the land use indicators of actual planning, takes the maximization of comprehensive benefits as the goal, strictly controls the development and construction of ecological sensitive areas along the coastline, and is superior to the urban planning of destroying the ecological coastal zone tidal flat wetland through reclamation; (2) In the optimal plan, the grassland in the northwest mountain area of Jinhu coastal area is converted into forest, which is consistent with the actual situation in the coastal area of Jinzhou-Huludao in 2020, and the hot spots of inland urban construction in the optimal plan are basically consistent with the actual situation. The research method is scientific and reasonable, which can coordinate the contradiction between regional ecological security and social and economic development, provide theoretical basis for land use planning and rational allocation of land resources, and also provide reference for similar research in other regions. (c) 2020 Published by Elsevier Inc.
机译:智能城市建设是全球城市发展的重要方向,这反映了人类生活的光明未来。建设智能城市也是中国促进新型城市化和健康城市发展的长期任务。如今,中国的新城市化采用智慧,智力和绿色生态作为核心理论,越来越多的城市加入了绿色生态,智能和智能城市化的规划和建设。景观模式优化是实现区域生态安全的重要方式之一。随着城市化的快速发展,生态空间已被连续压缩。如何协调区域生态安全与社会和经济发展之间的矛盾已成为中国土地利用面临的主要问题。在本研究中,GLP-ESA-ACO耦合模型用于优化生态安全和经济协调的目标下的景观格局的分配,锦州 - 葫芦岛沿海地区被认为是实证研究的一个例子。最大化综合效益是作为优化景观模式分配的目标,从生态安全,生态服务功能和社会和经济发展的三个方面,GLP应用于定量约束景观类型。基于建筑用地的生态适宜性评估,考虑到景观格局特征的变化规则和每个土地类型的生态服务价值,确定了景观模式优化的空间约束。使用蚁群优化算法,在数量和空间的约束下,在生态保护的指导下,确定了优化序列,获得了各种景观类型的最佳分配结果,并叠加以获得景观的最终最佳分配地图锦州 - 葫芦岛沿海地区的模式。结果表明:(1)最优计划符合实际规划的土地利用指标,使全面效益的最大化为目标,严格控制海岸线沿着海岸线的生态敏感区域的开发和建设,优于城市通过填海方式摧毁生态沿海区潮汐湿地的规划; (2)在最优计划中,金湖沿海地区西北山区的草地被转化为森林,这与2020年锦州 - 葫芦岛沿海地区的实际情况一致,以及内陆城市建设的热点在最佳计划中,基本上与实际情况一致。研究方法是科学合理的,可以协调区域生态安全和社会和经济发展之间的矛盾,为土地利用规划和土地资源的合理配置提供了理论依据,并为其他地区的类似研究提供了参考。 (c)2020由elsevier公司发布

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