新常态下农村居民点布局优化探讨与实践 ——以上海市金山区为例
Research and Practice on Layout Optimization of Rural Settlements under New Normal : A Case Study of Jinshan District, Shanghai
梁印龙
江苏省城市规划设计研究院 规划师，硕士
摘要: 随着我国经济社会发展进入新常态，城镇化发展进入后半程，城乡建设空间模式逐渐从“城市增量扩张、农村减量收缩”
走向“城市存量提升、农村优化调整”，农村居民点布局也将迎来新一轮的优化调整。相较于前一阶段，这一轮农村居民点
布局优化将更加“温和”，摒弃大拆大建，在规划目的、原则、方法和成果上都需要进行相应的优化调整。选取上海市远郊
金山区为例，在总结传统农村居民点布局规划建设困境的基础上，以问题为导向，提出了“原则调整、方法创新、内容深化”
的优化策略，并基于GIS平台，探索出了一套方法更为合理、内容更加全面的农村居民点优化布局规划，对下一层面的乡村
规划建设产生了更强的指导作用，取得了较好成效。
Abstract: As China's economic and social development has entered the New Normal, the process of urbanization has entered the second half.
The spatial mode of urban and rural construction land has gradually changed from a previous state of “the urban construction land
expands incrementally while the rural reduces to shrink” to a new state of “the urban starts to enhance the existing land instead of
expanding outward and the rural construction land starts to optimize”. Under the influence of such changes, rural settlements layout
will also face to a new stage of optimization. Compared to the previous stage, the current rural settlements layout optimization will
be more “moderate” and the planning purpose, principle, method and result all need adjustment accordingly. Taking Jinshan District,
suburban of Shanghai, as an example, after analyzing dilemma in the traditional rural settlements layout planning and construction,
this paper comes up with a problem-oriented approach and proposes an optimization strategy ,which consists of three parts, adjusting
planning principle, using innovative planning method and deepening planning contents. Under the guidance of strategy, based on
GIS platform, the paper explores a set of rural settlements layout planning which is more reasonable in planning methos and more
comprehensive in planning contents. Eventually, it is proved to achieve good results and will play a stronger role in guiding the rural
planning and construction.
关键词：新常态、农村居民点、布局优化、规模预测、上海
Keyword: New Normal， Rural settlements，Layout optimization，Scale prediction，Shanghai
中图分类号：TU981
文献标识码: A
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