A dynamic spatial model for demographic planning

Author

Wu, Belinda ; Birkin, Mark ; Rees, Phil

Author_Institution

Sch. of Geogr., Univ. of Leeds, Leeds, UK

fYear

2011

fDate

24-26 June 2011

Firstpage

1

Lastpage

4

Abstract

Individual Based Models (IBMs) that study populations through who the individuals are, where they live, and how they live within a spatial framework provides a more holistic approach to demographic planning than the traditional population models. MicroSimulation Models (MSMs) and Agent Based Models (ABMs) are two closely allied IBMs. This paper will introduce a dynamic spatial MSM that simulates the UK population through discrete demographic processes at a fine spatial scale from 2001 to 2031. Moses also brings in the strengths of ABM to enable the modeling of heterogeneous agents to represent sub-populations with distinctive characteristics within the system. The hybrid model enables us monitor the evolution of population structures and various demographic changes on a fine geographical scale, as well as provides detailed information for demographic planning/policy making.

Keywords

demography; social sciences computing; town and country planning; MicroSimulation models; agent based models; demographic planning; discrete demographic process; dynamic spatial model; hybrid model; individual based models; policy making; population model; spatial framework; Aging; Analytical models; Cities and towns; Computational modeling; Economics; Monitoring; Planning; agent based model (ABM); individual based model (IBM); microsimulation model (MSM); population evolution; spatial planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2011 19th International Conference on

Conference_Location

Shanghai

ISSN

2161-024X

Print_ISBN

978-1-61284-849-5

Type

conf

DOI

10.1109/GeoInformatics.2011.5980757

Filename

5980757