建筑与文化Issue(9)：106-108,3.DOI:10.19875/j.cnki.jzywh.2025.09.034
基于K-Shape聚类分析的城市时空活力模式识别研究——以上海市中心城区为例
Identification of Urban Spatiotemporal Vitality Patterns Based on K-Shape Clustering:A Case Study of Central Shanghai
摘要
Abstract
Urban vitality is a key indicator for assessing the quality of urban development and livability.Thus,understanding and fostering vitality has become a central goal in urban design and planning.Focusing on the central districts of Shanghai,this study utilizes Location-Based Services(LBS)data to reveal spatiotemporal vitality patterns at the block scale.By applying the K-Shape time-series clustering algorithm,four distinct vitality patterns are identified:daytime plateau type,tidal dual-peak type,stable single-peak type,and continuously active type.The study further explores the spatial differentiation of these types and investigates their underlying formation mechanisms through an analysis of built environment characteristics in representative cases.This research unveils the diversified spatiotemporal vitality patterns in central Shanghai,deepens the understanding of urban vitality dynamics,and provides data-driven insights for supporting all-day urban vitality enhancement.关键词
城市活力/时空活力模式/LBS数据/K-Shape聚类Key words
urban vitality/spatiotemporal vitality patterns/LBS data/K-Shape clustering引用本文复制引用
徐嘉豫..基于K-Shape聚类分析的城市时空活力模式识别研究——以上海市中心城区为例[J].建筑与文化,2025,(9):106-108,3.
