16 citations · 55 across the 10 of their papers we have counts for
13 papers
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data
Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto +1
People flow data are utilized in diverse fields such as urban and commercial planning and disaster management. However, people flow data collected from mobile phones, such as using…
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…
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…
Early Warning of COVID-19 Hotspots using Mobility of High Risk Users from Web Search Queries
Takahiro Yabe, Kota Tsubouchi, Satish V Ukkusuri
COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts…