56 citations · 166 across the 6 of their papers we have counts for
6 papers
ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility
Zhenlong Li, Xiao Huang, Tao Hu +3
In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scala…
UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
Yao Yao, Linlong Li, Zhaotang Liang +9
Vector-based cellular automata (CA) based on real land-parcel has become an important trend in current urban development simulation studies. Compared with raster-based and parcel-b…
ODT Flow Explorer: Extract, Query, and Visualize Human Mobility
Zhenlong Li, Xiao Huang, Xinyue Ye +1
Understanding human mobility dynamics among places provides fundamental knowledge regarding their interactive gravity, benefiting a wide range of applications in need of prior know…
Measuring the Dynamic Impact of High-Speed Railways on Urban Interactions in China
Junfang Gong, Shengwen Li, Xinyue Ye +1
High-speed rail (HSR) has become an important mode of inter-city transportation between large cities. Inter-city interaction facilitated by HSR tends to play a more prominent role…
Evaluating the effect of city lock-down on controlling COVID-19 propagation through deep learning and network science models
Xiaoqi Zhang, Zheng Ji, Yanqiao Zheng +2
The special epistemic characteristics of the COVID-19, such as the long incubation period and the infection through asymptomatic cases, put severe challenge to the containment of i…
Extracting and Analyzing Semantic Relatedness between Cities Using News Articles
Yingjie Hu, Xinyue Ye, Shih-Lung Shaw
News articles capture a variety of topics about our society. They reflect not only the socioeconomic activities that happened in our physical world, but also some of the cultures,…