상세정보
학술대회
Population Dynamics Analysis for Policy Evaluation Using Micro-Level Population Dynamics
- 발행일
- 201607
- 출처
- International Conference on High Performance Computing and Simulation (HPCS) 2016, pp.310-317
- 협약과제
- 15MS7400, 실시간 인구현황 파악 및 전망과 경제·사회 현상의 분석·예측을 위한 분산·병렬 다차원 인구 마이크로 시뮬레이션 기술 개발, 백의현
- 초록
- Population dynamics describes the changes in size, distribution and age compositions of population. Modeling and simulation have been used by researchers and scientists to understand and analyze the population dynamics and to apply it for policy evaluation. In this paper we describe a population dynamics model based on the features of both the microsimulation and the agent-based modelling. We apply this model to simulate and analyze the Korean population dynamics using the Korean population data. The agents in this model derive their decisions and behaviors from the real data (microsimulation feature) and interact among themselves (agent based modeling feature) to proceed in the simulation and change their states such as their age, educational status, gender etc., along with simulation procedure. This model is used for the analysis of population dynamics by varying behaviors, interactions and social scenarios of the agents. The simulation results obtained through these virtual experiments enabled us to discover the factors that trigger population dynamics. This paper makes an attempt to filter out the main factors which can affect the Korean population dynamics. Furthermore, this paper shows that our approach can be used for the optimization and evaluation of the public policies with a pension policy example.
- KSP 제안 키워드
- Agent-Based Modeling, Korean population, Main factors, Micro-level, Modeling and Simulation, Optimization and evaluation, Policy evaluation, Population dynamics model, Real data, Virtual experiment, agent-based modelling