[HTML][HTML] Towards a methodological framework for estimating present population density from mobile network operator data

F Ricciato, G Lanzieri, A Wirthmann… - Pervasive and Mobile …, 2020 - Elsevier
… to infer patterns of human mobility. Two decades of research … The analysis of complex
data calls for involved … scheme where large and small cells are treated differently. The two …

[HTML][HTML] A review of human mobility research based on big data and its implication for smart city development

A Wang, A Zhang, EHW Chan, W Shi, X Zhou… - … International Journal of …, 2020 - mdpi.com
… , Smart Mobility is highly related to spatial analysis of … individual are mined from mobile data,
whilst relationships among the … approaches could data-driven analysis of human mobility be …

Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data

J Cao, Q Li, W Tu, Q Gao, R Cao, C Zhong - Cities, 2021 - Elsevier
… illustrates the workflow of the proposed analytical framework. … increasing availability of big
human tracking data, this paper … in highly connected urban areas occupies a larger number of …

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 …

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 …

Human mobility data and analysis for urban resilience: A systematic review

M Haraguchi, A Nishino, A Kodaka… - … Analytics and City …, 2022 - journals.sagepub.com
… and storage of big data have led to the potential to utilize large volumes of … This analytical
framework is valuable not only for … and analytics of tracking mobility using mobile phone data. …

Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges

T Hu, S Wang, B She, M Zhang, X Huang… - … Journal of Digital …, 2021 - Taylor & Francis
… of mobility data: public transit systems, mobile operators, and … of mobile users provide a
large amount of spatiotemporal data … human mobility data without any application analysis. We …

Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example

F Wang, J Wang, J Cao, C Chen, XJ Ban - Transportation Research Part C …, 2019 - Elsevier
data, such as GPS data and cellular data, bring tremendous opportunities for human mobility
analysis … In Appendix A.2, we show that without considering the large variations of location …

[HTML][HTML] Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis

M Szocska, P Pollner, I Schiszler, T Joo, T Palicz… - Scientific Reports, 2021 - nature.com
… results correlated well with Google mobility data, but there were … how to interpret the raw
data for the purpose of our analysis. … of cell towers, which is much higher in densely populated