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机构地区:[1]四川大学建筑与环境学院
出 处:《建筑与文化》2023年第5期80-82,共3页Architecture & Culture
摘 要:人群活动被广泛认为是评价城市活力的重要量化表征。文章将热力图以及POI等大数据应用到动态规划中,由人群活动特征结合设施空间热度对轨道交通站域空间活力进行评价和解读。研究表明:(1)在时间维度上,人群活力受到轨道发展周期影响较大。轨道站域人群活力呈现分期分异特征;(2)在空间维度上,形成了双节点特征,成都新区发展成效显著。但交通区位对于部分轨道站域活力制约显著,人口需求与设施密度不适配。Crowd activity is widely regarded as an important quantitative representation for evaluating urban vitality.The paper applies big data such as heat map and POI to dynamic programming,and evaluates and interprets the spatial vitality of the rail transit station domain based on the characteristics of crowd activities combined with the spatial heat of facilities.The research shows that:(1)In the time dimension,the vitality of the population is greatly affected by the orbital development cycle.The vitality of the population in the rail station area presents the characteristics of phase differentiation;(2)In the spatial dimension,a dual-node feature has been formed,and the development of Chengdu New District has achieved remarkable results.However,the traffic location significantly restricts the vitality of some rail stations,and the population demand does not match the facility density.
分 类 号:TU984.191[建筑科学—城市规划与设计]
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