The prevention and treatment of epidemic is
always an urgent problem faced by the human being. Due to the special space
structure, huge passenger flow and great people mobility, the subway lines have
become the areas with high epidemic transmission risks. However, there is no
recent study related to epidemic transmission in the subway network on
urban-scale. In this article, from the perspective of big data, we study the
transmission risk of epidemic in Beijing subway network by using urban subway
mobility data. By reintegrating and mining the urban subway mobility data, we
preliminary assess the transmission risk in the subway lines from the passenger
behaviors, station features, route features and individual case on the basis of
subway network structure. This study has certain practical significance for the
early stage of epidemic tracking and prevention.
Cite this paper
Zhao, B. , Ni, S. , Yong, N. , Ma, X. , Shen, S. , Ji, X. (2015) A Preliminary Study on Spatial Spread Risk of Epidemics by Analyzing the Urban Subway Mobility Data. Journal of Biosciences and Medicines
, 15-21. doi: 10.4236/jbm.2015.39003
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