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	Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data
	Yang, Xiping ; Fang, Zhixiang ; Xu, Yang ; Shaw, Shih-Lung ; Zhao, Zhiyuan ; Yin, Ling ; Zhang, Tao ; Lin, Yunong
	2016
关键词	human convergence and divergence mobile phone data spatiotemporal patterns human mobility patterns URBAN MOBILITY CELL PHONES LAND-USE NETWORK INFORMATION
英文摘要	Investigating human mobility patterns can help researchers and agencies understand the driving forces of human movement, with potential benefits for urban planning and traffic management. Recent advances in location-aware technologies have provided many new data sources (e.g., mobile phone and social media data) for studying human space-time behavioral regularity. Although existing studies have utilized these new datasets to characterize human mobility patterns from various aspects, such as predicting human mobility and monitoring urban dynamics, few studies have focused on human convergence and divergence patterns within a city. This study aims to explore human spatial convergence and divergence and their evolutions over time using large-scale mobile phone location data. Using a dataset from Shenzhen, China, we developed a method to identify spatiotemporal patterns of human convergence and divergence. Eight distinct patterns were extracted, and the spatial distributions of these patterns are discussed in the context of urban functional regions. Thus, this study investigates urban human convergence and divergence patterns and their relationships with the urban functional environment, which is helpful for urban policy development, urban planning and traffic management.; National Natural Science Foundation of China [41231171, 41371420, 41371377, 41301511]; Wuhan University [2042015KF0167]; Arts and Sciences Excellence Professorship; Alvin and Sally Beaman Professorship at the University of Tennessee; SCI(E); SSCI; ARTICLE; 0yangxiping0@163.com; zxfang@whu.edu.cn; yangxu@smart.mit.edu; sshaw@utk.edu; zhaozhiyuan@whu.edu.cn; yinling@siat.ac.cn; zhangtao2@hb.chinamobile.com; 1100011751@pku.edu.cn; 10; 5
语种	英语
出处	SCI
出版者	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/458806]
专题	数学科学学院
推荐引用方式 GB/T 7714	Yang, Xiping,Fang, Zhixiang,Xu, Yang,et al. Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data. 2016-01-01.

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