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.

翻译：我们采用了一种数据驱动的方法，探索了NetMob 2023数据集在城市环境下建模移动性模式的可用性。我们将该数据与高度适配的外部数据源ENACT数据集相结合，后者提供了一个1公里×1公里的网格，包含欧洲各地昼夜人口估算值。我们开发了三组XGBoost模型，基于数据集中覆盖的68种在线服务的移动数据流量，以ENACT值作为基准真实值，预测NetMob 2023中每个100米×100米网格单元的人口。结果表明，NetMob 2023数据可用于估算网格单元级别的昼夜人口，并能解释城市移动性的部分动态变化。