SIGSPATIAL GISCUP 2025 Human Mobility Prediction Challenge: Open Data

Human mobility dataset for the ACM SIGSPATIAL GIS CUP 2025: Human Mobility Prediction Challenge 

https://sigspatial2025.sigspatial.org/giscup/index.html 

This data contains movement information generated from user location data obtained from LY Corporation smartphone applications. It does not reveal the actual timestamp, latitude, longitude, etc., and does not identify individuals. This data was originally made available only be used for the purpose of participating in the GIS CUP 2025, but we are releasing the full dataset now. 

When you use this data for publications, analysis, reports, please give us credits by citing the following publication, which is the Data Descriptor of this dataset. 

• Yabe, T., Tsubouchi, K., Shimizu, T., Sekimoto, Y., Sezaki, K., Moro, E., & Pentland, A. (2024). YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories. Scientific Data, 11(1), 397. https://www.nature.com/articles/s41597-024-03237-9