论文标题
生成合成种群的配对：直接概率配对方法
Pairing for Generation of Synthetic Populations: the Direct Probabilistic Pairing method
论文作者
论文摘要
生成合成种群的方法确实会产生微型模型或多代理模型所需的实体，例如它们匹配现场观察结果或对所研究人群的假设。我们在这里解决了创建由两种类型的实体组成的综合种群的具体问题，这些实体与0、1或更多链接链接在一起。潜在的应用包括创建由家庭居住的房屋，拥有汽车的家庭，配备电器的房屋，公司雇用的工人等。我们提出了一个理论框架来解决这个问题。然后，我们强调了这个问题是如何过度约束的，需要放松一些要解决的约束。我们提出了一种通过分析解决问题的方法，该方法使用户可以选择保留哪些输入数据并调整其他输入数据以使数据保持一致。我们通过合成由里尔市（法国）的房屋制成的人口来说明这种方法。在这个人群中，保留了住宅和家庭特征的分布，并且都根据统计配对统计数据链接。
Methods for the Generation of Synthetic Populations do generate the entities required for micro models or multi-agent models, such as they match field observations or hypothesis on the population under study. We tackle here the specific question of creating synthetic populations made of two types of entities linked together by 0, 1 or more links. Potential applications include the creation of dwellings inhabited by households, households owning cars, dwellings equipped with appliances, worker employed by firms, etc. We propose a theoretical framework to tackle this problem. We then highlight how this problem is over-constrained and requires relaxation of some constraints to be solved. We propose a method to solve the problem analytically which lets the user select which input data should be preserved and adapts the others in order to make the data consistent. We illustrate this method by synthesizing a population made of dwellings containing 0, 1 or 2 households in the city of Lille (France). In this population, the distributions of the dwellings' and households' characteristics are preserved, and both are linked according to statistical pairing statistics.
