检索结果-南通市图书馆

Affinity-based human mobility pattern for improved region function discovering

The Journal of China Universities of Posts and Telecommunications 2016年第1期23卷 60-67页

作者： Xu Yajing Li Gongfu Xue Chao Luo Angen Song Yizhe School of Telecommunication Engineering Beijing University of Posts and Telecommunications School of Electronics Engineering and Computer Science Queen Mary University of London

The process of urbanization is formed by regular movements of human beings. It yields different functional zones in a city, such as residential zone and commercial zone. Consequently, there exists a close connection between the human mobility pattern and the city＇s zones. However, it is not easy to collect large-scale society-wide data that can precisely capture the underlying relations between the individual＇s movement and the regional functions. Hence, our knowledge for understanding the basic patterns of human mobility is still limited. In order to discover the functions of different regions in a city, we propose an affinity based method in this paper. The affinity is a recently introduced metric for measuring the correlation of two connecting node in a complex network. The proposed model groups different functional zones by measuring user＇s arrival/departure distribution via relative entropy. In addition to this, we also identify the intensity of each functional zone by taking kernel density estimation （KDE） method. In the end, some experiments are conducted to evaluate our method with a large-scale real-life dataset, which consists of 3 million cellphone users＇ records from a period of one month. Our findings on the interaction between the mobility pattern and the regional functions can capture the city dynamics efficiently and provide a valuable reference for urban planners.

关键词： human mobility functional regions affinity measure

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