面向社会可持续发展的苏州古城人口容量调整与优化  

Adjustment and Optimization of the Carrying Capacity of the Ancient City of Suzhou for Social Sustainability

在线阅读下载全文

作  者:阳建强[1,2] 杨梓含 YANG Jianqiang;YANG Zihan

机构地区:[1]东南大学建筑学院 [2]中国城市规划学会城市更新分会

出  处:《城市规划学刊》2024年第3期65-73,共9页Urban Planning Forum

基  金:“十四五”国家重点研发计划课题“基于城市体检评估的城市更新综合评价技术方法研究”(项目编号:2022YFC3800302);国家自然科学基金项目“基于多目标多情景老城容量综合评估与优化决策方法研究一一以苏州为例”(项目编号:52278049)。

摘  要:现阶段苏州古城面临人口老龄化、人口密度过高、人口素质偏低,以及人居环境难以满足现代生活需求等挑战,过去基于单一传统风貌保护目标所采取的人口总量控制策略难以适应当下古城保护发展面临的复杂局面。针对苏州古城人口发展存在的现实问题,立足古城传统风貌保护与社会活力提升双方面需求,围绕古城保护发展整体协调、人口结构调整与优化以及宜居生活环境营造等社会可持续发展目标,从人口规模预测、人口结构引导、人口分布调控、居住空间调整以及公共服务设施分布调控等方面,提出古城人口容量调整优化方案与技术路径,以期能够更加科学、合理和精细地引导古城人口容量管控。At present,the ancient city of Suzhou is confronted with a myriad of challenges,such as the aging population,high population density,low population quality,and an inadequate built environment that fails to meet the needs of modern life.Conventional population control strategies,which were solely aligned with urban protection goals,are insufficient to address the complex issues related to both the protection and development of the ancient city.Aiming at solving existing problems by balancing heritage preservation with the promotion of social vitality,this paper introduces social sustainable development goals for the protection and development of the ancient city.It focuses on adjusting and optimizing the population structure and constructing a livable built environment.The paper explores aspects such as population projection,population structure,guidance and control of population distribution,adjustment of residential spaces,and public facility planning.It proposes solutions and technical path for optimizing the carrying capacity of the ancient city,providing guidance for scientific,rational,and refined population control measures.

关 键 词:同人口老龄化 人口容量 社会可持续发展 文化遗产保护 苏州古城 

分 类 号:TU984[建筑科学—城市规划与设计]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象