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作者

来源

CITIES,Vol.87,P.196-204

语言

英文

关键字

Temporal pattern analysis; Human activities; Kernel density estimation; Smart card data; Shanghai; HUMAN MOBILITY; GPS TRAJECTORIES; BEHAVIOR; PROXIMITY; CITY

作者单位

[Zhang, Yongping] Nankai Univ, Zhou Enlai Sch Govt, Tianjin, Peoples R China. [Zhang, Yongping] UCL, Bartlett Ctr Adv Spatial Anal, London, England. [Zhang, Yongping] Nankai Univ, Expt Teaching Ctr Appl Social Sci, Tianjin, Peoples R China. [Liu, Lun] Univ Cambridge, Dept Land Econ, Cambridge, England. [Wang, Hui] Tsinghua Univ, Sch Architecture, Beijing, Peoples R China. Liu, L (reprint author), 19 Silver St, Cambridge CB3 9EP, England. E-Mail: liulun.urban@gmail.com

摘要

Time is a fundamental characteristic for understanding human activities. When analysing temporal pattern of a group of activities, most researchers tend to utilise one temporal attribute when representing time use of activities. Thus, temporal pattern of activities is usually visualised and understood as a profile of various observations listed sequentially over time. This paper aims to investigate the temporal pattern of activities in urban areas from a new perspective. Temporal pattern is visualised and analysed as the distribution of activity points in a two-dimensional temporal plane defined by the start and end time of activities as x and y axes. Kernel density estimation is used as a typical method to observe the temporal pattern of activities in Shanghai based on a one-week smart card dataset generated in the Shanghai's metro system. The results show that the proposed perspective can reveal considerably more information regarding the temporal pattern than a conventional one can.