Using mobile phone data for emergency management: a systematic literature review

Y Wang, J Li, X Zhao, G Feng, X Luo - Information Systems Frontiers, 2020 - Springer
Emergency management (EM) has always been a concern of people from all walks of life
due to the devastating impacts emergencies can have. The global outbreak of COVID-19 in …

[HTML][HTML] A 100 m gridded population dataset of China's seventh census using ensemble learning and big geospatial data

Y Chen, C Xu, Y Ge, X Zhang… - Earth System Science …, 2024 - essd.copernicus.org
China has undergone rapid urbanization and internal migration in the past few years, and its
up-to-date gridded population datasets are essential for various applications. Existing …

Analyzing post-COVID-19 demographic and mobility changes in Andalusia using mobile phone data

J Osorio Arjona - Scientific Reports, 2024 - nature.com
This work studies changes in the demographics of the different spatial units that make up the
Andalusia region in Spain throughout the year 2021, with the aim of seeing the progressive …

Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain

R Pérez-Arnal, D Conesa, S Alvarez-Napagao… - … International Journal of …, 2021 - mdpi.com
The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways.
Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of …

Introduction to social sensing and big data computing for disaster management

Z Li, Q Huang, CT Emrich - … Sensing and Big Data Computing for …, 2020 - taylorfrancis.com
Traditional data collection methods such as remote sensing and field surveying often fail to
offer timely information during or immediately following disaster events. Social sensing …

Mapping local-scale working population and daytime population densities using points-of-interest and nighttime light satellite imageries

Y Sun, J Xie, Y Wang, TO Chan… - Geo-spatial Information …, 2024 - Taylor & Francis
In this study, we proposed a multi-source approach for mapping local-scale population
density of England. Specifically, we mapped both the working and daytime population …

Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park

M Che, Y Nian, S Chen, H Zhang… - International Journal of …, 2023 - Taylor & Francis
Human activities significantly impact the environment. Understanding the patterns and
distribution of these activities is crucial for ecological protection. With location-based …

[HTML][HTML] Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: an investigation through the relationship between spatiotemporal population …

TV Ha, T Asada, M Arimura - Transportation research interdisciplinary …, 2023 - Elsevier
By the end of 2021, the Omicron variant of coronavirus disease 2019 had become the
dominant cause of a worldwide pandemic crisis. This demands a deeper analysis to support …

Dual-environment feature fusion-based method for estimating building-scale population distributions

G Liu, R Li, J Xia, Z Liu, J Cai, H Wu… - Geo-Spatial Information …, 2023 - Taylor & Francis
Information on the population distribution at the building scale can help governments make
supplemental decisions to address complex urban management issues. However, the …

Mobile positioning-based population statistics in crisis management: an Estonian case study

A Tominga, S Silm, K Orru, K Vent, M Klaos… - International journal of …, 2023 - Elsevier
Key to strong disaster management practices is to have a clear understanding of people's
whereabouts in disaster areas. One novel method for retrieving this information near real …