摘要
城市空间结构是国土空间规划的核心内容。本文基于交通出行数据,采用社区发现算法识别现状城市空间结构,并与国土空间总规划提出的空间结构进行对比评估。研究发现中心城区内的组团具有吸引强度大和范围广的特点,规划组团分化成了多个组团,其位置和范围与规划有较大差异;中心城以外识别的组团与规划组团空间位置基本一致,但量级与规划差异较大。从走廊对比看,外围地区以临近组团联系为主,长距离跨组团的走廊较弱。此外,分析国土空间总体规划中心体系确定的十二个市级中心的就业吸引特征,并结合建成环境、职住关联、产业结构、人口密度等因素,分析市级中心就业吸引能级的关键影响因素及影响程度。研究发现对中心吸引力影响最大的因素依次是职住比、就业密度、公交站点可达性、金融业占比、轨道站点500m覆盖度、信息技术服务业占比。最后,结合分析评估结果,提出了空间结构优化调整建议。
Urban spatial structure is the core element of territorial spatial planning.This paper identifies the current spatial structure using commu-nity discovery algorithm based on traffic and travel data,and evaluates it in comparison with the spatial structure of the territorial spatial planning.It is found that the identified clusters in the central city have the characteristics of large attraction intensity and wide range.The planned clusters are divided into multiple clusters,and the range is quite different from the planned city clusters.The spatial location of the identified clusters outside the central city is basically the same as the planned clusters,but the magnitude of the clus-ters differs greatly from that of the planned clusters.From the comparison of network node connection,the long-distance cross-group corridor is weak.In addition,it analyzes the attraction characteristics of the twelve central districts identified by the territorial spatial planning,and analyzes the key in-fluencing factors and the degree of influence on the attrac-tion energy level of central districts.The study finds that the factors that have the greatest influence on the attraction of the center are successively job-housing ratio,employment density,accessibility of bus station,proportion of financial industry,500m coverage of metro station,and proportion of information technology service industry.Finally,based on the evaluation results,the paper puts forward some sug-gestions on spatial structure optimization and adjustment.
作者
郭莉
陈梓林
殷嘉俊
周青峰
GUO Li;CHEN Zilin;YIN Jiajun;ZHOU Qingfeng
出处
《住区》
2024年第4期85-91,共7页
Design Community
基金
深圳市规划国土发展研究中心,政府规划师基金:手机信令数据深度挖掘及多源数据融合关键技术探索(基金号:2023-基3)。
关键词
空间结构
中心体系
规划评估
组团
吸引能力
spatial structure
center system
planning as-sessment
clusters
attraction capacity