We applied a data-driven approach that explores the usability of the NetMob
2023 dataset in modelling mobility patterns within an urban context. We
combined the data with a highly suitable external source, the ENACT dataset,
which provides a 1 km x 1km grid with estimates of the day and night population
across Europe. We developed three sets of XGBoost models that predict the
population in each 100m x 100m grid cell used in NetMob2023 based on the mobile
data traffic of the 68 online services covered in the dataset, using the ENACT
values as ground truth. The results suggest that the NetMob 2023 data can be
useful for the estimation of the day and night population and grid cell level
and can explain part of the dynamics of urban mobility.

应用数据驱动的方法，使用 NetMob 2023 数据集在城市环境中建模移动模式。结合高度合适的外部数据源 ENACT 数据集，通过 68 个在线服务的移动数据流量预测 NetMob2023 中每个 100m x 100m 网格单元的人口。结果表明 NetMob 2023 数据可以有助于估计白天和夜晚的人口以及网格单元级别，并能解释城市移动性的一部分动态。