Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China

J Li, J Li, Y Yuan, G Li - Cities, 2019 - Elsevier
… of urban population density, and big data provide some new … mobile phone data for further
comparative research with the Baidu heat map data, because the number of mobile phone

UAV-assisted vehicular communication for densely crowded environments

O Bouachir, M Aloqaily, I Al Ridhawi… - NOMS 2020-2020 …, 2020 - ieeexplore.ieee.org
big number of transmissions, multiple reflections and obstacles. Based on the ease of
mobility … The UAVs are randomly redistributed to mobile node dense locations throughout the …

Predicting the spatiotemporal legality of on-street parking using open data and machine learning

S Gao, M Li, Y Liang, J Marks, Y Kang, M Li - Annals of GIS, 2019 - Taylor & Francis
data, points of interest (POI) data and human mobility data. … , for each analysis unit (a census
tract or a grid cell) there is a … a large-scale zoom level, it covers huge amount of data points. …

[HTML][HTML] Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a …

G Pullano, E Valdano, N Scarpa, S Rubrichi… - The Lancet Digital …, 2020 - thelancet.com
… We aimed to use mobile phone data to study how mobility in France … trajectories, we
documented a large drop in both short-range … Mobile phone data analytics against the COVID-19 …

Using a new approach for revealing the spatiotemporal patterns of functional urban polycentricity: A case study in the Tokyo metropolitan area

K Liu, Y Murayama, T Ichinose - Sustainable Cities and Society, 2020 - Elsevier
… human mobility, which are gathered by multiple central citiesbig data, such as taxi trajectory
data, mobile phone data, and … that a new, systematic analytical framework is needed in this …

Quantifying segregation in an integrated urban physical-social space

Y Xu, A Belyi, P Santi, C Ratti - Journal of the Royal …, 2019 - royalsocietypublishing.org
… in Singapore using large-scale mobile phone and socio-… network and mobility in mobile
phone data with income data from … Our analytical framework allows for the first time analysing …

[HTML][HTML] Improving epidemic surveillance and response: big data is dead, long live big data

C Buckee - The Lancet Digital Health, 2020 - thelancet.com
… With growing mobility and increasing global connectivity, this … passively observed big data
streams from mobile phones but … of people who span the analytical and operational aspects of …

What determines city's resilience against epidemic outbreak: Evidence from China's COVID-19 experience

J Chen, X Guo, H Pan, S Zhong - Sustainable cities and society, 2021 - Elsevier
mobility flows have more difficulties in containing the epidemic … our analysis is based on the
performance of Chinese cities in … The use of new sources of big data, such as mobile phone

IoT and big data applications in smart cities: recent advances, challenges, and critical issues

M Talebkhah, A Sali, M Marjani, M Gordan… - IEEE …, 2021 - ieeexplore.ieee.org
… over diverse areas: economy, public, government, mobility, … issues arising in big data
analytics of large wireless networks in … , ‘‘A novel big data analytics framework for smart cities,’’ …

[HTML][HTML] Public participation in smart-city governance: A qualitative content analysis of public comments in urban China

Z Gao, S Wang, J Gu - Sustainability, 2020 - mdpi.com
… an analytical framework using citizen-centred qualitative data to … The increasing prevalence
of mobile devices and … disabilities, as restricted physical mobility or other life circumstances …