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基于"语义-要素"分析的国土空间规划用途管制传导路径优化研究

沈瑶 滕倩慧 李向阳

城市规划学刊Issue(6):46-53,8.
城市规划学刊Issue(6):46-53,8.DOI:10.16361/j.upf.202406007

基于"语义-要素"分析的国土空间规划用途管制传导路径优化研究

Optimization of Transmission Pathways for Territorial Space Use Based on"Semantic-Element"Analysis

沈瑶 1滕倩慧 1李向阳1

作者信息

  • 1. 湖南大学建筑与规划学院、丘陵地区城乡人居环境科学湖南省重点实验室
  • 折叠

摘要

Abstract

In the context of national spatial planning reform,establishing effective regulatory transmission pathways for national territorial spatial plans is crucial for en-hancing plan coordination and operability,making it a critical element in plan formu-lation and implementation.With the promotion of"five levels and three categories"national spatial planning system at the local level,planning effectiveness has steadily improved.However,challenges persist in the vertical and horizontal transmission of plans.This study employs"semantic element"analysis and practitioner interviews to categorize control elements in national spatial plans into three categories:spatial items,technical standards,and action items,clarifying their respective semantic mean-ings.Using Changsha City as a case study,the research examines key issues in con-trol transmission across master plans,specialized plans,and detailed plans.Building on this foundation,the paper proposes policy recommendations to optimize control transmission in three aspects:the connotation of transmission elements,transmission pathways,and the integration of information platform for both rigid and flexible con-trols.The insights from the research aim to support the unification of the national spatial planning control system and facilitate the effective implementation of national territorial spatial planning.

关键词

国土空间规划/用途管制/传导/"语义—要素"分析

Key words

territorial spatial planning/use control/transmission/the analysis of the"semantic-element"

分类

建筑与水利

引用本文复制引用

沈瑶,滕倩慧,李向阳..基于"语义-要素"分析的国土空间规划用途管制传导路径优化研究[J].城市规划学刊,2024,(6):46-53,8.

基金项目

湖南省自然资源厅2022年重大科技项目"湖南省国土空间规划统筹实施与监测监管关键技术研究"[2022]1号 ()

根据"健全国土空间用途管制制度优秀论文遴选"2024年入选论文改写 ()

城市规划学刊

OA北大核心CHSSCDCSSCICSTPCD

1000-3363

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