摘要
以上海中心城区为例,首先,利用共享单车大数据得出的租还时间曲线,划分不同类型的居住型虚拟租赁点。其次,详细刻画这些租赁点与周边租赁点的OD簇联系特征。再次根据其骑行特征差异对居住生活圈进行模式识别。最后,选取若干典型模式的骑行生活圈对其空间布局结构加以解析,并针对骑行生活圈构建中的主要问题提出改善建议。
Taking the central urban area in Shanghai as an example,the types of residential virtual rental stations are divided according to the rental and return volume profiles obtained from the bicycle-sharing big data firstly.Then,the temporal-spatial characteristics of the OD clusters between these points and the surrounding ones are analyzed in detail,and the pattern recognition of various life circles based on the cycling characteristics differentiation are carried out.Finally,several life circles with typical cycling link patterns are selected to compare their different spatial layout structures,and the suggestions on the construction and improvement of cycling life circles are put forward.
作者
刘冰
朱俊宇
赵晶心
张涵双
Liu Bing;Zhu Junyu;Zhao Jingxin;Zhang Huanshuang(Tongji Uniuersity,Shanghai 200092,China;Key Laboratory of Ecology and Energy-saving for Dense Habitat under Ministry of Education,Shanghai 200092,China;Shanghai Tongji Urban Planning and Design Institute Co.,LTD.,Shanghai 200092,China;Shanghai Urban Planning and Natural Resources Bureau,Shanghai 200003,China)
出处
《城市建筑》
2020年第31期5-9,27,共6页
Urbanism and Architecture
基金
基于呼吸暴露的体力型出行活动模式、影响机制与规划应对研究——以上海为例(51778433)
多尺度建成环境下的公共自行车使用特征、行为机制与绿色导向策略(51378360)。
关键词
共享单车
居住生活圈
时空间活动
分异特征
OD簇
shared bicycle
residential life circle
spatial-temporal activity
differentiated characteristics
OD cluster