摘要
文章采用互联网LBS数据,从空间利用与时间变化两个视角对南京市轨道交通站域内居民活动特征进行测度与分析,并得出各站域居民活动特征综合评价值。结果发现:①站域空间活动强度整体分布存在较明显的差异,并形成了不同强度的站域空间活动集聚圈;②大多数站域居民活动时间变化幅度处于较为稳定的波动区间内;③各站域居民活动特征综合评价值均值较低,且显示出“高值单核集聚、低值多区分散”的空间分布特点。研究结果反映了南京市轨道交通站域空间实际使用情况,为站域优化提供了依据。
This paper uses Location-based service(LBS)data to measure and analyze the characteristics of residents'activities in Nanjing rail transit station areas from the perspective of space utilization and time changes,and obtain a comprehensive evaluation value of residents'activities in each station area.The results shows that:i)There are obvious differences in the overall distribution of the space utilization level within the station area,and agglomeration circles of space activities of different strengths are formed in the station area.ii)The time variation of residents'activities in most station areas is within a relatively stable fluctuation range.iii)The average value of the comprehensive evaluation value of the residents'activity characteristics in each station area is low,and it shows the spatial distribution characteristics of"high-value single-core clustering,low-value multi-region scattered".The results of the research reflect the actual use of Nanjing rail transit station areas and provide a basis for station optimization.
作者
邵天元
SHAO Tian-yuan(Nanjing Tech University,Nanjing Jiangsu 211816 China)
出处
《江苏建筑》
2022年第3期20-23,62,共5页
Jiangsu Construction
关键词
轨道交通站域
居民活动特征
LBS数据
rail transit station areas
characteristics of residents'activities
LBS data
作者简介
邵天元,男(1995-),南京工业大学,硕士研究生,研究方向为城市设计及其理论研究。
