Construct an Artificial Population with Urban and Rural Population Differences Considered: To Support Long-Term Care System Evaluation by Agent-Based Simulation
Construct an Artificial Population with Urban and Rural Population Differences Considered: To Support Long-Term Care System Evaluation by Agent-Based Simulation
复制标题
构建考虑城乡人口差异的人工人口：基于Agent的仿真支持长期护理系统评估
DOI：
10.1007/978-3-030-69322-0_25
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Deguchi Hiroshi
中科院分区：
文献类型：
--
作者：
Chang Shuang;Deguchi Hiroshi
基于主体的模拟等自下而上的模拟方法在中国长期护理（LTC）研究中引起了人们的关注。为了能够部署基于代理的建模方法来评估 LTC 系统，需要一个包含个人和家庭详细信息的计算基础。在这项工作中，我们提出了一种考虑城乡人口差异的人工人口构建方法。鉴于中国尚无全国范围内的家庭和个人健康问题分类记录，我们首先在第一波中国健康与养老追踪研究的基础上提出了一种生成此类记录的方法。根据上述包含健康相关属性的记录，我们提出了一种改进的组合优化方法，以构建反映中国城市（包括城乡居民）的人工人口。它将成为构建此类人工群体以支持 LTC 研究中基于代理的模拟方法的首批方法之一。
Bottom-up simulation approaches such as agent-based simulation are attracting attention in Chinese Long-Term Care (LTC) studies. To enable the deployment of agent-based modelling approaches in evaluating LTC systems, a computational base which entails individual and household details is necessary. In this work, we propose a method to construct such an artificial population with the urban and rural population differences considered. Given the situation that nationwide disaggregated records on health issues of households and individuals are not available for the Chinese case, we first propose a method to generate such records based on the first wave of China Health and Retirement Longitudinal Study. Drawn upon above records containing health-related attributes, we then propose a revised combinatorial optimization method to construct an artificial population mirroring a Chinese city including both urban and rural residents. It will be among the first methods in constructing such artificial populations to support agent-based simulation approaches in LTC studies.
影响因子：
4
作者：
Lei P;Feng Z;Wu Z
通讯作者：
Wu Z
队列概况：中国健康与退休追踪研究 (CHARLS)
影响因子：
7.7
作者：
Zhao, Yaohui;Hu, Yisong;Yang, Gonghuan
通讯作者：
Yang, Gonghuan
DOI：
10.1377/hlthaff.2012.0535
发表时间：
2012-12
期刊：
Health affairs (Project Hope)
影响因子：
--
作者：
Feng Z;Liu C;Guan X;Mor V
通讯作者：
Mor V