LYMob-4Cities: Multi-City Human Mobility Dataset

This multi-city human mobility dataset contains data from 4 metropolitan areas (cities A, B, C, D), somewhere in Japan. Each city is divided into 500 meters x 500 meters cells, which span a 200 x 200 grid. The human mobility datasets contain the movement of individuals across a 75-day period, discretized into 30-minute intervals and 500-meter grid cells. Each city contains the movement data of 100,000, 25,000, 20,000, and 6,000 individuals, respectively. 

While the name or location of the city is not disclosed, the participants are provided with points-of-interest (POIs; e.g., restaurants, parks) data for each grid cell (~85 dimensional vector) for the four cities as supplementary information (e.g., POIdata_cityA). The list of 85 POI categories can be found in POI_datacategories.csv. 

This dataset was used for the HuMob Data Challenge 2024 competition. For more details, see https://wp.nyu.edu/humobchallenge2024/ 

Researchers may use this dataset for publications and reports, as long as: 1) Users shall not carry out activities that involve unethical usage of the data, including attempts at re-identifying data subjects, harming individuals, or damaging companies, and 2) The Data Descriptor paper of an earlier version of the dataset (citation below) needs to be cited when using the data for research and/or commercial purposes. Downloading this dataset implies agreement with the above two conditions. 

• 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  

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 can only be used for the purpose of participating in the Humob Challenge 2024.