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

Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data

S Park, Y Xu, L Jiang, Z Chen, S Huang - Annals of Tourism Research, 2020 - Elsevier
… and spatial big data analytics to explore travel mobility and … of tourists with the attractive
areas. These findings can guide … , especially in densely populated areas, individual cellphone …

Unraveling environmental justice in ambient PM2. 5 exposure in Beijing: A big data approach

Y Xu, S Jiang, R Li, J Zhang, J Zhao, S Abbar… - … Environment and Urban …, 2019 - Elsevier
… In this work, we introduce a big data analytics framework to model residents' stay … mobile
phone data and census data together with a traffic assignment model, we derive human mobility

Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning

R Levin, DL Chao, EA Wenger, JL Proctor - Nature Computational …, 2021 - nature.com
… We found that counties associated with large metropolitan areas … more sparsely populated
ones (Extended Data Fig. 1). High … The SafeGraph mobility data used in our analysis can be …

Enhancing pedestrian mobility in smart cities using big data

E Carter, P Adam, D Tsakis, S Shaw… - … Analytics, 2020 - Taylor & Francis
… False positives from other mobile items such as shopping … levels of population density
across the city which supports … trends identified from the pedestrian data analysis. The steady …

Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities

M De Nadai, Y Xu, E Letouzé, MC González, B Lepri - Scientific reports, 2020 - nature.com
… From mobile phone data, we fit the mobility model TimeGeo 51 … many the testbed for empirical
crime analysis, thus we include it … large errors due to places that are outliers of mobility in …

[HTML][HTML] Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was …

B Jeffrey, CE Walters, KEC Ainslie, O Eales… - Wellcome Open …, 2020 - ncbi.nlm.nih.gov
larger reductions in average mobility in high-density areas … journey distance within densely
populated areas during the … : a common framework for mobile phone data analysis. The …

Intracity pandemic risk evaluation using mobile phone data: The case of Shanghai during COVID-19

T Gan, W Li, L He, J Li - ISPRS international journal of geo-information, 2020 - mdpi.com
mobility on the spread of COVID-19 on a relatively large … of mobile phone data in human
mobility analysis is that they … plan to use mobile phone data to construct a dynamic mobility and …

Urban exodus? Understanding human mobility in Britain during the COVID‐19 pandemic using Meta‐Facebook data

F Rowe, A Calafiore, D Arribas‐Bel… - … , Space and Place, 2023 - Wiley Online Library
… to low-density areas, lending some support to claims of large-… -Facebook users' mobile
phone location data, this paper … levels of mobility during the period in the analysis is important to …

Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis

H Zhang, P Li, Z Zhang, W Li, J Chen, X Song… - Cities, 2022 - Elsevier
… the human mobility data to fit the mobility before April 8th, … If the value is less than 0.1%, we
will not show the cell's color … the proposed comprehensive analysis framework, we believe …