83 citations · 197 across the 15 of their papers we have counts for
15 papers
MoE-TransMov: A Transformer-based Model for Next POI Prediction in Familiar & Unfamiliar Movements
Ruichen Tan, Jiawei Xue, Kota Tsubouchi +2
Accurate prediction of the next point of interest (POI) within human mobility trajectories is essential for location-based services, as it enables more timely and personalized reco…
Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu +4
Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications. The recent availability of large-scale human movement data collect…
Estimating Sunlight Using GNSS Signal Strength from Smartphone
Yuuki Nishiyama, Kosuke Hatai, Kota Tsubouchi +1
Excessive or inadequate exposure to ultraviolet light (UV) is harmful to health and causes osteoporosis, colon cancer, and skin cancer. The UV Index, a standard scale of UV light,…
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…
Nation-wide Mood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data
Wataru Sasaki, Hiroshi Kawane, Satoko Miyahara +2
The ability to estimate the current affective statuses of web users has considerable potential for the realization of user-centric services in the society. However, in real-world w…
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…
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…
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…
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
Shohei Hisada, Taichi Murayama, Kota Tsubouchi +4
[Background] Two clusters of coronavirus disease 2019 (COVID-19) were confirmed in Hokkaido, Japan in February 2020. To capture the clusters, this study employs Web search query lo…
Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories
Toru Shimizu, Takahiro Yabe, Kota Tsubouchi
Place embeddings generated from human mobility trajectories have become a popular method to understand the functionality of places. Place embeddings with high spatial resolution ar…
City2City: Translating Place Representations across Cities
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu +2
Large mobility datasets collected from various sources have allowed us to observe, analyze, predict and solve a wide range of important urban challenges. In particular, studies hav…
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction
Renhe Jiang, Zekun Cai, Zhaonan Wang +5
Nowadays, massive urban human mobility data are being generated from mobile phones, car navigation systems, and traffic sensors. Predicting the density and flow of the crowd or tra…
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu +2
Predicting the evacuation decisions of individuals before the disaster strikes is crucial for planning first response strategies. In addition to the studies on post-disaster analys…
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…
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data
Takahiro Yabe, Yoshihide Sekimoto, Kota Tsubouchi +1
Despite the importance of predicting evacuation mobility dynamics after large scale disasters for effective first response and disaster relief, our general understanding of evacuat…