摘要
为贯彻乡村振兴战略,亟待在国土空间规划中建立村庄分类技术方法与规划指引,本研究提出由“分类标准—指标遴选—分类方法”构成村庄分类的技术思路。文章以南宁市辖区作为实证案例,从社会经济、人文特色、城乡关系、生态保护4大维度,选取11个指标构建村庄类型评价指标体系,基于自组织特征映射网络(SOFM)模型与人工校核修正相结合的方法,将467个行政村分为集聚提升类、城郊融合类、融入城镇类、特殊类和传统发展类5种类型,提出各类村庄差异化的空间管制与发展指引,并探索村庄分类规划传导体系,以期为各层级的村庄规划编制提供宏观村庄规划建议。
China has experienced rapid urbanization,resulting in the consolidation of many villages into towns or the reconstruction of many villages.Since villages have different histories and development,scientific classification and recognition is a prerequisite and a basis for their future revitalization.In recent years,the Chinese government has emphasized that villages should be classified scientifically in accordance with the laws of village development and evolutionary trends.With the establishment of the territorial spatial planning system,village classification has become the basis for village development at the macro level,as well as a macro guideline for detailed village planning.The purpose of this study is to explore the technical methods and planning guidelines for the classification of villages in the context of territorial spatial planning.The general concept of village classification is presented from the viewpoint of“classification criteria-index selection-classification method”by using Nanning City as an example.Specially,in order to optimize the classification criteria,it takes into account the local classification experience of Jiangsu Province in China,as well as the impact of territorial spatial planning on villages.It identified five types of villages:agglomeration and upgrading,suburban integration,integration into town,special category,and traditional development categories based on implementing the national classification requirements.The measurement dimensions of this classification criteria are based on the perspective of spatial integration of all elements of territorial spatial planning,and in accordance with the direction of classification guidance under the national rural revitalization strategy and the trend of future urbanrural relationships and finally four-dimensional measurement indexes including social economy,humanistic characteristics,ecological protection,and urban-rural relationship are developed.Among them,social economy and humanistic characteristics are the basis for curren
作者
解芳芳
罗方焓
刘昭
方晨宇
XIE Fangfang;LUO Fanghan;LIU Zhao;FANG Chenyu
出处
《西部人居环境学刊》
CSCD
北大核心
2024年第5期139-144,共6页
Journal of Human Settlements in West China
关键词
国土空间规划
SOFM神经网络
村庄分类
规划指引
territorial spatial planning
SOFM neural network
classification of villages
planning guidelines
