摘要
轨道站点作为轨道交通网络的节点和城市的重要空间区域,研究其周边街道活力对轨道站点TOD发展与街道环境优化具有重要意义。通过采集街景图像、POI和人口热力等多源数据刻画轨道站点周边街道活力空间分布特征,构建多尺度地理加权回归模型分析建成环境对街道活力的影响。结果表明:街道活力存在集聚效应,以站点为中心向四周延伸;POI业态齐全度对街道活力影响显著且呈正相关,绿视率对街道活力影响在空间上存在异质性,天空开敞度等变量对活力影响相关性不显著,机动交通影响度则对活力呈抑制作用。研究结果可为轨道站点周边功能布局与精细化街道环境改善提供重要参考。
As rail transit stations are the nodes of the transportation network and important spatial areas of the city,it is of great significance to study the street vitality around the rail station for the development of rail TOD and the optimization of the street environment.By collecting multi-source data such as street view images,points of interest and population thermal data,this paper describes the spatial distribution of street vitality around rail stations,and constructs the multi-scale geographical weighted regression model to analyze the influence of the built environment on street vitality.The results indicate that street vitality exhibits a clustering effect,radiating out from the central station;the diversity of POI categories significantly impacts street vitality and shows a positive correlation;the influence of the green view rate on street vitality demonstrates spatial heterogeneity;variables such as the sky view factor do not significantly correlate with vitality,while the impact of motor traffic appears to suppress vitality.These findings can provide important references for the functional layout around rail transit stations and for the improvements of refined street environment.
作者
朱震军
曹湛
和煜栋
张芮嘉
俞佳雯
ZHU Zhenjun;CAO Zhan;HE Yudong;ZHANG Rujia;YU Jiawen
出处
《现代城市研究》
北大核心
2024年第9期95-99,共5页
Modern Urban Research
基金
南京林业大学高学历(高层次)人才科研启动基金项目(163106041)
江苏高校哲学社会科学研究一般项目(2020SJA0125)
江苏省研究生科研与实践创新计划项目(SJCX24_0405)。
关键词
街道活力
建成环境
轨道站点
多源数据
多尺度地理加权回归模型
street vitality
built environment
rail transit
multi-source data
multi-scale geographical weighted regression model
