Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data

T Chen, ECM Hui, J Wu, W Lang, X Li - Habitat International, 2019 - Elsevier
… model human mobility patterns. Location-based social media … organization of large and
densely populated urban areas are … analysis of urban spatial structure using mobile phone data

[HTML][HTML] Understanding the mesoscopic scaling patterns within cities

L Dong, Z Huang, J Zhang, Y Liu - Scientific reports, 2020 - nature.com
… datasets covering millions of mobile phone users and urban … Here, benefiting from the
revolution of big data, we analyze the … mobility, as the gravity model is one of the essential mobility

[HTML][HTML] Assessing polycentric urban development in mountainous cities: the case of Chongqing Metropolitan Area, China

Y Liu, P Fan, W Yue, J Huang, D Li, Z Tian - Sustainability, 2019 - mdpi.com
… and mobile phone calls) provide high-quality interaction data … supply of public facilities and
the mobility for human beings. It … reflections on the analytical framework and discuss planning …

Measuring spatio-temporal autocorrelation in time series data of collective human mobility

Y Gao, J Cheng, H Meng, Y Liu - Geo-spatial Information Science, 2019 - Taylor & Francis
analysis is an exploratory approach to recognizing data … of mobile positioning devices,
spatio-temporal big data about … These areas, considered urban areas in Beijing, are densely

[HTML][HTML] How social distancing, mobility, and preventive policies affect COVID-19 outcomes: Big data-driven evidence from the District of Columbia-Maryland-Virginia …

J Mahmoudi, C Xiong - PloS one, 2022 - journals.plos.org
big mobile-device data providing information on human … The study area for this analysis
includes the District of … Although the analysis includes a population density variable and a …

[PDF][PDF] Population mobility reductions during COVID-19 epidemic in France under lockdown

G Pullano, E Valdano, N Scarpa, S Rubrichi, V Colizza - MedRxiv, 2020 - epicx-lab.com
data extracted from mobile phone trajectories, we documented the large impact that lockdown
had on reducing mobilityMobile phone data analytics against the COVID-19 epidemics in …

Identifying home locations in human mobility data: an open-source R package for comparison and reproducibility

Q Chen, A Poorthuis - International Journal of Geographical …, 2021 - Taylor & Francis
densely populated region. To analyze the potential effect of a change in resolution, we have
performed a sensitivity analysis on different grid cellbig data, through quantitative analysis

Social media and urban mobility: Using twitter to calculate home-work travel matrices

J Osorio-Arjona, JC García-Palomares - Cities, 2019 - Elsevier
Big Data is beneficial to the study of mobility patterns in citiesanalysis of flows between
different zones of interest in the study … of previous studies based on phone data in mind, the main …

[HTML][HTML] Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
… traffic analysis framework based on big data analytics and … buses using crowd-sourced mobile
data to predict commuter flow … Human mobility data has been used for the analysis of a city

Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices

MA Rahman, N Zaman, AT Asyhari… - Sustainable cities and …, 2020 - Elsevier
… of healthcare and simulated mobility data, we model lockdown … utilize satellite imagery,
mobile phone data, health records as a … better with complex data with a huge number of features, …