摘要
城市街区演替的多维现象是各种城市问题持续劣化的微观成因,探明其中影响是实施城市更新行动的重要依据。针对江苏省淮安市107处城市街区,利用时空多源数据,采用逻辑降维、关联分析、地理加权回归等方法,构建可表征空间规模、交通设施、日常出行、社会经济及公共交通等演替现象的多维复合要素体系,揭示城市街区演替对交通出行拥堵的时空影响机理。影响机理表明空间规模与日常出行演替具有显著一致的正向影响,公共交通演替具有显著一致的负向影响,交通设施与社会经济的演替则不具显著影响。依循时空影响机理,结合可预见变化、官方指导意见和近期实践经验,情景模拟了全局性交通出行改善下各类街区更新的空间增容阙值,作为城市更新启示。
With multiple dimensions,urban block evolution may lead to various urban problems.Therefore,exploring relevant influences is a key prerequisite for implementing urban regeneration actions.Based on multi-source spatio-temporal data and applying approaches,including dimensional reduction,correlation analysis,and Geography Weighted Regression,this paper conducts a case study on 107 urban blocks in Huai’an City,Jiangsu Province and develops a multi-dimensional complex element system with several dimensions,including spatial capacity,transportation facilities,daily commute,socio-economy,and public traffic.Then it explores the spatio-temporal influence mechanism of urban block evolution on traffic congestion.The influence mechanism indicates that spatial capacity and daily commute have significantly positive influence,public traffic has significantly negative influence,and transportation facilities and socio-economy have insignificant influence.Following this influence mechanism and considering foreseeable physical changes in urban blocks,official guidance,and practical experience of urban regeneration,scenario simulation is conducted to explore the potential increase in spatial capacity in future regeneration of urban blocks,which can be considered as implications to urban regeneration.
作者
唐乐
陈雯
TANG Le;CHEN Wen
出处
《城市规划》
CSSCI
CSCD
北大核心
2024年第1期55-64,共10页
City Planning Review
基金
江苏省高校哲学社会科学研究一般项目(2022SJYB1947)。
关键词
城市更新
街区演替
交通出行拥堵
多维复合要素
影响机理
urban regeneration
urban block evolution
traffic congestion
multi-dimensional complex element
influence mechanism
