A Dynamic MSM With Agent Elements for Spatial Demographic Forecasting

Author:

Wu Belinda M.1,Birkin Mark H.1,Rees Philip H.1

Affiliation:

1. University of Leeds, United Kingdom,

Abstract

Individual-based models such as microsimulation models (MSMs) provide an alternative to macroscopic models in social simulation and modeling. In contrast to the traditional models where individual characteristics are often blurred or even disregarded, MSM provides the realistic disaggregated information that is often vital for modern policy problems. MSM has been extensively applied and well tested in social modeling. However, it has been criticized for being less strong in modeling interactions between individuals and individual behaviors. MSM also struggles where realistic micro data are not available. Agent-based models (ABMs) can model the demographic process through interactions between the agents and with the environment that they live in. The combination of MSM and ABM provides a new approach to enhance complex social modeling. In our study, we attempt to provide better groundwork to facilitate policy and decision making for the U.K. population through a hybrid model that combines the strength of the two complementary techniques.

Publisher

SAGE Publications

Subject

Law,Library and Information Sciences,Computer Science Applications,General Social Sciences

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Population Synthesis Accommodating Heterogeneity: A Bayesian Network and Generalized Raking Technique;Transportation Research Record: Journal of the Transportation Research Board;2023-01-06

2. Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs;Population Research and Policy Review;2021-08-16

3. Future Directions;New Horizons in Modeling and Simulation for Social Epidemiology and Public Health;2021-02

4. Microsimulation of Residential Activity for Alternative Urban Development Scenarios: A Case Study on Brussels and Flemish Brabant;Sustainability;2020-03-18

5. Household Forecasts for the Planning of Long‐Term Domestic Water Demand: Application to London and the Thames Valley;Population, Space and Place;2020-01-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3