Multi-Year Synthetic Populations for Île-de-France

Whereas synthetic populations constitute a fundamental component of agent-based simulation models, synthetic population forecasting seeks to generate such populations at future time horizons, enabling the simulation of hypothetical scenarios with representative agents. Existing approaches typically rely on static, single-year snapshots augmented with external data sources. This dataset allows exploring the capacity of multi-year data for forecasting, eliminating the need for external inputs.

This dataset supports reproducible research, facilitates benchmarking.

Data processing is available at this Git repository https://github.com/vdarsel/French_Census_Data_Processing

合成人口是基于智能体的仿真模型的核心组成部分，合成人口预测则旨在生成未来时间跨度下的合成人口，以支持对由代表性智能体构成的假想场景开展仿真。现有研究方法通常依赖静态单年份快照，并辅以外部数据源。本数据集可用于探索多年度数据在预测任务中的应用潜力，无需引入外部输入数据。

本数据集可支撑可复现研究，同时便于开展基准测试。

数据处理代码可在以下Git仓库获取：https://github.com/vdarsel/French_Census_Data_Processing