A mobility analytical framework for big mobile data in densely populated area

Y Qiao, Y Cheng, J Yang, J Liu… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
… storage, and methods for analyzing user mobility. This paper introduces a mobility analytical
framework for big mobile data based on real data traffic collected from 2G/3G/4G networks …

[HTML][HTML] An analytical framework to nowcast well-being using mobile phone data

L Pappalardo, M Vanhoof, L Gabrielli… - … Science and Analytics, 2016 - Springer
… lens of Big Data? In this paper, we design a data-driven analytical framework that uses mobility
… We collect data on population density (PD) and two socio-economic indicators: per capita …

[HTML][HTML] The promises of big data and small data for travel behavior (aka human mobility) analysis

C Chen, J Ma, Y Susilo, Y Liu, M Wang - Transportation research part C …, 2016 - Elsevier
mobile phone dataset. In analyzing human mobility patterns, passively generated mobile
phone data … at the area level, for example, comparing population density calculated from the …

Traffic zone division based on big data from mobile phone base stations

H Dong, M Wu, X Ding, L Chu, L Jia, Y Qin… - … Research Part C …, 2015 - Elsevier
… These areas are very dense due to the large population of urban residents in Beijing. The …
traffic semantic attributes, mobile location data and spatial clustering analysis to identify traffic …

FBVA: A flow-based visual analytics approach for citywide crowd mobility

X Luo, Y Yuan, Z Li, M Zhu, Y Xu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
… of a huge amount of crowd mobility and their socialized … Case studies on a real citywide
mobile phone data set demonstrate … regions (c)–(g) are all peripheral densely populated county …

A novel big data analytics framework for smart cities

AMS Osman - Future Generation Computer Systems, 2019 - Elsevier
… development and increasing population density in cities. To … : data management, application
run-time, Wireless Sensor … analysis, historical data analysis, mobility, iterative processing, …

A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic

S Hu, C Xiong, M Yang, H Younes, W Luo… - … Research Part C …, 2021 - Elsevier
… This paper presents a big-data-driven analytical frameworkhighly contagious diseases. To
fill these important research gaps, a … On the contrary, using mobile device location data, our …

Characterizing flow, application, and user behavior in mobile networks: A framework for mobile big data

Y Qiao, Z Xing, ZM Fadlullah, J Yang… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
highly parallel and distributed traffic monitoring and analysis … FMBD-based mobile big data
acquisition and analytics. First, … of mobile app usage behavior and mobility behavior of users …

Activity-based human mobility patterns inferred from mobile phone data: A case study of Singapore

S Jiang, J Ferreira, MC Gonzalez - … Transactions on Big Data, 2017 - ieeexplore.ieee.org
… travel; yet it depends highly on detailed travel survey data to capture individual … big data
analytics that translates ubiquitous mobile phone data into planner interpretable human mobility

Urban sensing based on mobile phone data: Approaches, applications, and challenges

M Ghahramani, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
… different smart city perspectives, eg, mobility and intelligent … with this analysis: handover data
is limited to mobile phones that … of big data frameworks and analyzing mobile phone data in …