Large-scale ecological red line planning in urban agglomerations using a semi-automatic intelligent zoning method
Large-scale ecological red line planning in urban agglomerations using a semi-automatic intelligent zoning method
复制标题
利用半自动智能分区方法进行城市群大规模生态红线规划
DOI：
10.1016/j.scs.2018.12.038
复制
发表时间：
2019
影响因子：
11.7
通讯作者：
Li Xia
中科院分区：
文献类型：
--
作者：
Lin Jinyao;Li Xia
生态红线规划是生态保护和管理的有效措施。虽然在这一领域进行了许多尝试，但大多数都是针对一个城市。鉴于城市网络的复杂性，在大区域内，ERL规划的任务将变得特别困难。另一个问题是，由于每个计划都有自己的边界、管理政策和其他限制，因此，快速铁路线计划很难与现有的土地使用计划协调，甚至可能相互冲突。为了解决这些问题，本研究提出了一个新的框架，大规模的ERL规划的贡献是双重的。首先，我们制定了一个自上而下的规划战略，可以确保生态管理的一致性和大区域内每个城市的平等性。其次，提出了一种基于改进遗传算法的半自动智能分区方法。“半自动”和“自动”的区别在于，前者允许用户手动识别一些重点保护区域。该综合框架被应用于城市群的快速道路规划。三组评价结果表明，通过该框架生成的规划方案比传统方法的结果更符合实际，更接近实际。例如，半自动和自动方法之间的比较表明，前者可以生成易于与以前的土地使用计划协调的分区计划。因此，这一综合框架可以促进大规模的生态管理和规划，并将有助于环境可持续城市的设计。
Ecological red line (ERL) planning is an effective measure for ecological protection and management. Although many attempts have been made in this field, most have targeted a single city. The task of ERL planning will become particularly difficult in large regions, given the complexity of city networks. Another concern is that ERL schemes cannot be easily coordinated with pre-existing land-use plans and may even conflict with one another, since every plan has its own boundaries, management policies, and other constraints. To address these problems, this study presents a novel framework for large-scale ERL planning whose contributions are twofold. First, we developed a top-down planning strategy that could ensure both the consistency of ecological management and equality for every city within large regions. Second, we propose a semi-automatic intelligent zoning method based on a modified genetic algorithm. The difference between “semi-automatic” and “automatic” is that the former allows users to manually identify some key protected areas. This integrated framework was applied to ERL planning in an urban agglomeration. Three groups of evaluations indicated that the planning schemes generated via the proposed framework are more practical and closer to reality than the results of traditional methods. For example, the comparison between semi-automatic and automatic methods suggested that the former can generate zoning schemes that are easily coordinated with previous land-use plans. Therefore, this comprehensive framework could facilitate large-scale ecological management and planning and will be helpful for the design of environmentally sustainable cities.