文章基本信息

标题：Generating a Two-Layered Synthetic Population for French Municipalities: Results and Evaluation of Four Synthetic Reconstruction Methods
本地全文：下载
作者：Boyam Fabrice Yameogo ; Pierre-Olivier Vandanjon ; Pascal Gastineau 等
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2021
卷号：24
期号：2
页码：1
DOI：10.18564/jasss.4482
出版社：University of Surrey, Department of Sociology
摘要：This article describes the generation of a detailed two-layered synthetic population of households and individuals for French municipalities. Using French census data, four synthetic reconstruction methods associated with two probabilistic integerization methods are applied. The paper oers an in-depth description of each method through a common framework. A comparison of these methods is then carried out on the basis of various criteria. Results showed that the tested algorithms produce realistic synthetic populations with the most eicient synthetic reconstruction methods assessed being the Hierarchical Iterative Proportional Fitting and the relative entropy minimization algorithms. Combined with the Truncation Replication Sampling allocation method for performing integerization, these algorithms generate household-level and individual-level data whose values lie closest to those of the actual population.
关键词：Synthetic Population Generation; Multi-level; Microsimulation; Simultaneous Control