83 citations · 255 across the 24 of their papers we have counts for
8 papers · 1 filter
GEO-BLEU: Similarity Measure for Geospatial Sequences
Toru Shimizu, Kota Tsubouchi, Takahiro Yabe
In recent geospatial research, the importance of modeling large-scale human mobility data and predicting trajectories is rising, in parallel with progress in text generation using…
Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data
J. Xue, T. Yabe, K. Tsubouchi +2
Recurring outbreaks of COVID-19 have posed enduring effects on global society, which calls for a predictor of pandemic waves using various data with early availability. Existing pr…
Mobile Phone Location Data for Disasters: A Review from Natural Hazards and Epidemics
Takahiro Yabe, Nicholas K W Jones, P Suresh C Rao +2
Rapid urbanization and climate change trends are intertwined with complex interactions of various social, economic, and political factors. The increased trends of disaster risks ha…
Location Data Reveals Disproportionate Disaster Impact Amongst the Poor: A Case Study of the 2017 Puebla Earthquake Using Mobilkit
Takahiro Yabe, Nicholas K W Jones, Nancy Lozano-Gracia +4
Location data obtained from smartphones is increasingly finding use cases in disaster risk management. Where traditionally, CDR has provided the predominant digital footprint for h…
Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data
Enrico Ubaldi, Takahiro Yabe, Nicholas K. W. Jones +4
Increasingly available high-frequency location datasets derived from smartphones provide unprecedented insight into trajectories of human mobility. These datasets can play a signif…
Resilience of Interdependent Urban Socio-Physical Systems using Large-Scale Mobility Data: Modeling Recovery Dynamics
Takahiro Yabe, P. Suresh C. Rao, Satish V. Ukkusuri
Cities are complex systems comprised of socioeconomic systems relying on critical services delivered by multiple physical infrastructure networks. Due to interdependencies between…
Mobility-based contact exposure explains the disparity of spread of COVID-19 in urban neighborhoods
Rajat Verma, Takahiro Yabe, Satish V. Ukkusuri
The rapid early spread of COVID-19 in the U.S. was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobilit…
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
Jiawei Xue, Nan Jiang, Senwei Liang +4
Quantifying the topological similarities of different parts of urban road networks (URNs) enables us to understand the urban growth patterns. While conventional statistics provide…