Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

S Lai, A Farnham, NW Ruktanonchai… - Journal of travel …, 2019 - academic.oup.com
… a ‘big data’ approach to understanding human mobility and its … highly connected and heavily
populated locations, such as … or the collection, analysis and interpretation of data and the …

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 …

From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration

M Forghani, F Karimipour, C Claramunt - Transportation Research Part C …, 2020 - Elsevier
… implementation together with an analysis of the results … in densely populated areas is higher
than thinly populated ones (… possibility to analyse human mobility at a large scale such as …

RMGen: A tri-layer vehicular trajectory data generation model exploring urban region division and mobility pattern

X Kong, Q Chen, M Hou, A Rahim… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… succeed in predicting mobility patterns at large spatial scales… [23] used mobile phone data
to generate origindestination … we focus our analysis on the vehicle mobility pattern within the …

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 …

Mining urban sustainable performance: GPS data-based spatio-temporal analysis on on-road braking emission

J Chen, W Li, H Zhang, W Jiang, W Li, Y Sui… - Journal of cleaner …, 2020 - Elsevier
… in Tokyo area, we proposed an analysis framework on the … bad connection of cell phone
with internet during the driving … the most of mobility are crowding to the city center. Thus, the …

A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)

M Fekih, T Bellemans, Z Smoreda, P Bonnel, A Furno… - Transportation, 2021 - Springer
… While travel surveys provide highly useful data to formalize and … potential of mobile phone
CDR data for the analysis of long-… travel surveys and large-scale mobility behavior studies. …

Comparative accessibility of Chinese airports and high-speed railway stations: A high-resolution, yet scalable framework based on open data

X Sun, S Wandelt, A Zhang - Journal of Air Transport Management, 2021 - Elsevier
… a grid-cell based accessibility estimation framework and it is … perceptions on accessibility,
mobility, and connectivity of the … big data techniques the present analysis converted the raw …

[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 …

[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 …