开源奥地利人口参数集，支持可复现的群体模拟研究。
GEPOC Parameters -- Open Source Parametrisation and Validation for Austria, Version 2.0
- 基于公开数据构建奥地利人口参数计算流程。
- 完成对核心模型GEPOC ABM的全面验证，结果可靠。
- 适合需高可复现性的人口建模与政策仿真研究者。
GEPOC（通用人口概念）是一套用于分析群体层面研究问题的模型与方法集合。为确保模型在特定国家或地区有效应用，必须具备稳定且可复现的数据处理流程，以生成准确可用的模型参数。本文完整描述了基于完全公开可获取数据，计算奥地利地区模型参数的数据处理方法。内容包括所用原始数据来源、聚合、拆分、融合、清洗及缩放等所有算法，以及最终参数文件的说明。重点聚焦于核心模型GEPOC ABM——一个连续时间代理模型的参数计算过程。本文末尾还展示了对该模型的广泛验证研究，证实其在奥地利场景下的有效性与稳定性。
原文摘要 · Abstract (English)
GEPOC, short for Generic Population Concept, is a collection of models and methods for analysing population-level research questions. For the valid application of the models for a specific country or region, stable and reproducible data processes are necessary, which provide valid and ready-to-use model parameters. This work contains a complete description of the data-processing methods for computation of model parameters for Austria, based exclusively on freely and publicly accessible data. In addition to the description of the source data used, this includes all algorithms used for aggregation, disaggregation, fusion, cleansing or scaling of the data, as well as a description of the resulting parameter files. The document places particular emphasis on the computation of parameters for the most important GEPOC model, GEPOC ABM, a continuous-time agent-based population model. An extensive validation study using this particular model was made and is presented at the end of this work.
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