TROPICAL GEOGRAPHY ›› 2019, Vol. 39 ›› Issue (1): 125-134.doi: 10.13284/j.cnki.rddl.003095

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Spatio-temporal Characteristics and Influencing Factors of Fake Base Stations’ Activity in Beijing

Li Xuliang, Tao Haiyan, Zhuo Li, Li Qiuping and Wang Keli   

  1. (Guangdong Key Laboratory for Urbanization and Geo-Simulation/Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China)
  • Received:2018-07-06 Revised:2018-10-15 Online:2019-01-05 Published:2019-01-05

Abstract: China suffers from an increasingly serious threat of SMS spam. The current prevention and control is mainly in the mobile phone to intercept spam messages. In order to suppress the SMS spam effectively, it is necessary to fight against fake base stations (FBSes) from the source. Therefore, it is of great significance to investigate the spatio-temporal distribution and influencing factors of SMS spam sent by FBSes. This study uses the two-month SMS spam data of urban areas in Beijing to reflect the trajectory of FBSes, analyze the temporal and spatial characteristics by kernel density estimation. With the 1km grid as the research unit, we then employed spatial econometric model to quantitatively analysis the effect (including direct and indirect effects) of the built environment and social environment on FBSes. The results show that: 1) The FBSes shows significant space-time agglomeration, and largest hot spot located in the CBD area near Guomao. 2) Because of the diffusivity, the activities of FBSes in a grid increased by about 0.7% for every 1% increase in the average of neighboring grids. 3) Different spatio-temporal distributions of FBSes are influenced by disparate factors, commercial and residential facilities have the most significant positive impacts. The negative impact of hotel facilities is greatest, and there is a certain negative impact from educational facilities, house prices and FBSes. The attraction of subway stations to FBSes in traffic area only exists in the neighboring area. 4) The social and economic factors embody the positive correlation between FBSes and low income group, the flow of people and the aged population. This study expands the quantitative research of FBSes and SMS spam from the perspective of geography, which could potentially help reduce FBSes in the micro-scale of internal urban and provide reference for the management of the city.

Key words: fake base stations, SMS spam, spatial econometric model, spatial spillover effect, Beijing