Synthesized Population Databases: A US Geospatial Database for Agent-Based Models.
Synthesized Population Databases: A US Geospatial Database for Agent-Based Models.
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DOI：
10.3768/rtipress.2009.mr.0010.0905
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发表时间：
2009-05-01
期刊：
影响因子：
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通讯作者：
Allpress JL
中科院分区：
文献类型：
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作者：
Wheaton WD;Cajka JC;Chasteen BM;Wagener DK;Cooley PC;Ganapathi L;Roberts DJ;Allpress JL
基于主体的模型模拟大规模的社会系统。他们将行为和活动分配给被建模群体中的“代理”（个体），然后允许代理在复杂的模拟中与环境和彼此交互。除其他用途外，基于主体的模型经常用于模拟传染病暴发。RTI使用并扩展了一种迭代比例拟合方法，生成了一个综合的、地理空间明确的人类代理数据库，该数据库代表了2000年美国50个州和哥伦比亚特区的人口。每个代理人被分配到一个家庭；其他代理人构成住户。生成合成的家庭和将代理人分配到学校和工作场所的人，以便在代理人进行日常活动时考虑他们之间的复杂互动，生成占据集体宿舍（军事基地，大学宿舍，监狱，养老院）的合成人类代理人。在本报告中，我们描述了用于生成综合人口数据库的方法以及数据库的最终数据结构和数据内容。这些信息将为研究人员提供在开发基于代理的模型时使用该数据库所需的信息。对于这个数据库，RTI开发了一些方法，使任何用户都可以根据请求使用合成代理数据库的部分内容。RTI将为希望在自己的基于代理的模型中使用该数据库的用户提取数据库的一部分（县、地区或州）。
Agent-based models simulate large-scale social systems. They assign behaviors and activities to “agents” (individuals) within the population being modeled and then allow the agents to interact with the environment and each other in complex simulations. Agent-based models are frequently used to simulate infectious disease outbreaks, among other uses. RTI used and extended an iterative proportional fitting method to generate a synthesized, geospatially explicit, human agent database that represents the US population in the 50 states and the District of Columbia in the year 2000. Each agent is assigned to a household; other agents make up the household occupants. generating synthesized households and persons assigning agents to schools and workplaces so that complex interactions among agents as they go about their daily activities can be taken into account generating synthesized human agents who occupy group quarters (military bases, college dormitories, prisons, nursing homes). In this report, we describe both the methods used to generate the synthesized population database and the final data structure and data content of the database. This information will provide researchers with the information they need to use the database in developing agent-based models. For this database, RTI developed the methods for Portions of the synthesized agent database are available to any user upon request. RTI will extract a portion (a county, region, or state) of the database for users who wish to use this database in their own agent-based models.