[HTML][HTML] … on mobile phone location data (counteract): a system of identifying covid-19 infectious and hazardous sites, detecting disease outbreaks based on the internet …

H Ghayvat, M Awais, P Gope, S Pandya… - Sustainable Cities and …, 2021 - Elsevier
… "Mobility IoT," which is closely associated with the Big data … depth analysis, tracking, and
tracing of the acquired GPS data … study, we analyzed mobility data network data such as latitude …

Mobile phone location data for disasters: A review from natural hazards and epidemics

T Yabe, NKW Jones, PSC Rao, MC Gonzalez… - … Environment and Urban …, 2022 - Elsevier
… , large-scale location data collected from mobile phone devices … on human mobility and
mobile phone data). Human … interest in the analysis of mobile phone location data for disaster …

A deep gravity model for mobility flows generation

F Simini, G Barlacchi, M Luca, L Pappalardo - Nature communications, 2021 - nature.com
… 10 includes the regions of interest with the larger population, … Anyhow, our analysis clearly
shows that it is the combination … The death and life of great italian cities: a mobile phone data

Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data

T Yabe, Y Sekimoto, K Tsubouchi, S Ikemoto - PLoS one, 2019 - journals.plos.org
large scale mobile phone location datasets from Japan. More specifically, we analyze the
mobility of … The mobile phone data is dense in both spatial and temporal aspects to analyze the …

Mobility during the covid-19 pandemic: A data-driven time-geographic analysis of health-induced mobility changes

M Toger, K Kourtit, P Nijkamp, J Östh - Sustainability, 2021 - mdpi.com
mobility patterns in larger urban areas, but in rural areas (whose phone-service may be
provided by one large cell-… population density in any area, variables that we believe affects the …

Evaluating and characterizing urban vibrancy using spatial big data: Shanghai as a case study

B Huang, Y Zhou, Z Li, Y Song… - … Analytics and City …, 2020 - journals.sagepub.com
… The call detailed records (CDR) data, mobile phone tracking data, … Population density (PD)
was measured using a mobile … informatics, including data-driven human activity-mobility (ie, …

Exploring the disparities in park access through mobile phone data: Evidence from Shanghai, China

Y Xiao, D Wang, J Fang - Landscape and urban planning, 2019 - Elsevier
… of the large dataset available from mobile phones to analyze … Analysis and results are
presented in Section 5 and finally, a … Since human mobility follows simple, reproducible patterns, …

[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
… Smart Mobility A smart mobility network is a network of … data generated by various devices
through wireless and wired … Transportation, traffic, and logistical issues affect most large cities

Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence

Y Guo, L Yang, Y Lu, R Zhao - Sustainable Cities and Society, 2021 - Elsevier
… 1, the dense areas with a large number of bike-sharing include the south of Longhua and …
by utilizing our analytical framework with accurate data. Second, applying big data to identify …

The role of 5G technologies: Challenges in smart cities and intelligent transportation systems

L Guevara, F Auat Cheein - Sustainability, 2020 - mdpi.com
… under high mobility situations or dense populated areas. In … , 5G will require an even larger
cell infrastructure to achieve the … connectivity among a dense population of mobile devices. …