activity
20182022
most citedNon-Compulsory Measures Sufficiently Reduced Human Mobility in Tokyo during the COVID-19 Epidemic

16 citations · 32 across the 6 of their papers we have counts for

collaborators

9 papers

physics.soc-ph2022

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…

cs.SI20221 cited

Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan

Kajiwara Kento, Jue Ma, Toshikazu Seto +3

In response to the declining population and aging infrastructure in Japan, local governments are implementing compact city policies such as the location normalization plan. To opti…

physics.soc-ph202016 cited

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…

cs.LG20199 cited

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…

cs.CV20191 cited

Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage

Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama

Over the past few years, researchers have presented many different applications for convolutional neural networks, including those for the detection and recognition of objects from…

cs.SI2019

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…