Quantify city-level dynamic functions across China using social media and POIs data
Location-aware big data from social media have been widely used to study functions of
different zones in a city but not across a city as a whole. In this study, a novel framework is …
different zones in a city but not across a city as a whole. In this study, a novel framework is …
Comparison of spatio-temporal transmission characteristics of COVID-19 and its mitigation strategies in China and the US
Investigating the spatio-temporal transmission features and process of novel coronavirus
disease 2019 (COVID-19) mitigation strategies are of great practical significance to …
disease 2019 (COVID-19) mitigation strategies are of great practical significance to …
Achieving differential privacy publishing of location-based statistical data using grid clustering
Statistical partitioning and publishing is commonly used in location-based big data services
to address queries such as the number of points of interest, available vehicles, traffic flows …
to address queries such as the number of points of interest, available vehicles, traffic flows …
Spatiotemporal distribution and trend of COVID-19 in the Yangtze River Delta region of the People's Republic of China
An outbreak of atypical pneumonia, now called COVID-19 and known to be caused by the
novel coronavirus SARS-CoV-2, first detected in Wuhan, Hubei Province of the People's …
novel coronavirus SARS-CoV-2, first detected in Wuhan, Hubei Province of the People's …
Fine-scale population spatialization data of China in 2018 based on real location-based big data
Accurate location-based big data has a high resolution and a direct interaction with human
activities, allowing for fine-scale population spatial data to be realized. We take the average …
activities, allowing for fine-scale population spatial data to be realized. We take the average …
Exploring impact of surrounding service facilities on urban vibrancy using tencent location-aware data: a case of Guangzhou
Urban vibrancy contributes towards a successful city and high-quality life for people as one
of its vital elements. Therefore, the association between service facilities and vibrancy is …
of its vital elements. Therefore, the association between service facilities and vibrancy is …
Changes of spatiotemporal pattern and network characteristic in population flow under COVID-19 epidemic
C Li, Z Wu, L Zhu, L Liu, C Zhang - ISPRS International Journal of Geo …, 2021 - mdpi.com
The COVID-19 pandemic is a major problem facing humanity throughout the world. The
rapid and accurate tracking of population flows may therefore be epidemiologically …
rapid and accurate tracking of population flows may therefore be epidemiologically …
Exploring Spatial Features of Population Activities and Functional Facilities in Rail Transit Station Realm Based on Real-Time Positioning Data: A Case of **'an Metro …
The rail transit station realm is an important urban spatial node that carries various
behavioral activities and multiple functions. In order to accurately identify the spatial and …
behavioral activities and multiple functions. In order to accurately identify the spatial and …
A spatio-temporal hybrid neural network for crowd flow prediction in key urban areas
D He, J Jia, Y Wang, L You, Z Chen, J Li, Q Wu… - Electronics, 2023 - mdpi.com
The prediction of crowd flow in key urban areas is an important basis for city informatization
development and management. Timely understanding of crowd flow trends can provide …
development and management. Timely understanding of crowd flow trends can provide …
Transmission and control pressure analysis of the COVID-19 epidemic situation using multisource spatio-temporal big data
F Wang, Z Tan, Z Yu, S Yao, C Guo - PLoS One, 2021 - journals.plos.org
Taking the Guangdong-Hong Kong-Macao Greater Bay Area as the research area, this
paper used OD cluster analysis based on Baidu migration data from January 11 to January …
paper used OD cluster analysis based on Baidu migration data from January 11 to January …