基于量化技术支撑的城市低成本空间优化——以广州某“城中村”更新改造为例
Optimization of Urban Low-cost Space Based on Quantitative Technology: Taking the Renovation of a Urban Village in Guangzhou as an Example
作者信息
黄孚湘 广州市城市规划勘测设计研究院高级规划师
摘要 低成本空间作为促进国内大循环的重要载体，对城市发展具有重要的意义。过去对低成本空间的认识不充分，更新改造多以拆除重建模式为主，导致改造后的空间丧失低成本优势。本文通过分析城市低成本空间形成的驱动因素和存在的问题，提出“四可两有”的低成本空间更新改造目标，构建以量化工具为核心以实现低成本改造的空间优化模式。以广州市某“城中村”为例，借助多源数据识别并盘活存量土地 420 公顷；利用无人机巡航监控，及时拆除违法建筑 209 万平方米；依托遥感图像反演识别黑臭水体、治理河涌污染，新增公共空间 152 公顷；基于时空圈模型测算、评价生活圈设施需求，新增民生设施 287 处，从而实现低成本空间的高效率、高品质提升。
关键词 量化工具；低成本空间；微改造；高质量发展
Abstract In the post epidemic era, as an important carrier to promote the domestic circulation, low-cost space is a great significance to the urban development. In the past, the understanding of low-cost space was insufficient, and most of the renewal and reconstruction were based on demolition and reconstruction, resulting in the loss of low-cost advantage of the reconstructed space. By analyzing the driving forces and existing problems of urban low-cost space, this paper puts forward six objectives of low-cost space renewal and transformation, and constructs a space optimization model of low-cost renovation based on quantitative tools. Taking an urban village in Guangzhou as an example, this paper realizes the improvement of high efficiency and high quality of low-cost space from the following four aspects: identified and revitalized 420 hectares of stock land with the help of multi-source data; used UAV cruise monitoring to dismantle 2.09 million square meters of illegal buildings in time; identified black and smelly water based on remote sensing image inversion, and added 152 hectares of public space by controlling river pollution; established 287 new livelihood facilities according to the demand for living circle facilities calculated by the space-time circle model.
Keywords quantitative tools; low-cost space; micro-renovation; high-quality development
来源：《城乡规划》2021 NO.6
