83 citations · 255 across the 24 of their papers we have counts for
10 papers · 1 filter
Using large scale GPS data to reveal EV driver activity patterns beyond charging sessions
Callie Clark, Anne Driscoll, Xiyuan Ren +4
Accurate insights into electric vehicle (EV) driver behavior are essential for long-term infrastructure planning, grid management, and understanding downstream economic impacts, ye…
Disaster-induced behavioral change restructures social networks toward bonding ties
Vaidehi Raipat, Daniel Aldrich, Takahiro Yabe
Population displacement following environmental shocks reshapes the spatial organization of social interactions, often fragmenting existing ties and weakening community cohesion. A…
Behavioral changes during the pandemic worsened income diversity of urban encounters
Takahiro Yabe, Bernardo Garcia Bulle Bueno, Xiaowen Dong +2
Diversity of physical encounters and social interactions in urban environments are known to spur economic productivity and innovation in cities, while also to foster social capital…
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…
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…
Non-Compulsory Measures Sufficiently Reduced Human Mobility in Tokyo during the COVID-19 Epidemic
Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara +3
While large scale mobility data has become a popular tool to monitor the mobility patterns during the COVID-19 pandemic, the impacts of non-compulsory measures in Tokyo, Japan on h…
Universality of population recovery patterns after disasters
Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara +2
Despite the rising importance of enhancing community resilience to disasters, our understanding on how communities recover from catastrophic events is limited. Here we study the po…