基于BP神经网络的城乡融合发展动力识别与路径研究——以我国东、中、西部共72个典型区县为例  

Research on Dynamics Identification and Development Path of Urban-rural Integration Based on BP Neural Network:A Study of 72 Typical Counties in the East,Middle,and West of China

作　　者：谢鑫[1] 李和平[2] 李聪聪 付鹏 Xie Xin;Li Heping;Li Congcong;Fu Peng

机构地区：[1]重庆大学建筑城规学院 [2]重庆大学建筑城规学院、山地城镇建设与新技术教育部重点实验室 [3]重庆大学建筑规划设计研究总院有限公司

出　　处：《规划师》2022年第10期109-116,共8页Planners

基　　金：“十三五”国家重点研发计划项目(2018YFD1100300)。

摘　　要：新中国成立以来,我国的城乡关系经历了由城乡分离向城乡融合转型的历史过程。2019年,我国设立国家级城乡融合发展试验区作为新时期城乡发展的改革试点,其动力机制与发展路径是当前学界研究的重点。文章从内、外动力两个子系统构建城乡融合发展的动力框架,在此基础上运用BP神经网络模型对我国东、中、西部共72个典型区县的城乡融合发展动力进行识别,总结出不同地区区县城乡融合发展的动力机制。在此基础上,根据动力机制提出城乡一体、差异协调和协同收缩3种不同类型的城乡融合发展模式与发展路径,希望能为我国因地制宜推进乡村振兴与城乡融合发展提供参考。Since the founding of the People’s Republic of China,urban-rural relationship has undergone a historical process from urban-rural separation to urban-rural integration.In 2019,China established pilot zones for urban-rural integration and development,and their dynamics mechanism and development path are the focus of current research in academia.In this paper,the dynamics framework of urban-rural integration development is constructed from two subsystems of internal and external dynamics,based on which the BP neural network model is used to identify the dynamics of urban-rural integration in 72 typical counties in the east,middle and west of China,and the dynamics mechanisms of urban-rural integration development in counties of different regions are summarized.Furthermore,three different types of urban-rural integration development models and development paths are proposed based on the dynamics mechanisms:urban-rural integration,differential coordination and collaborative contraction.It is of important reference value for China to promote rural revitalization and urban-rural integration development according to local conditions.

关 键 词：城乡融合 BP神经网络 动力机制 发展模式 发展路径 

分 类 号：TU982.29[建筑科学—城市规划与设计]