Spatial Microsimulation and Agent-Based Modelling

Dimitrios Ballas, Tom Broomhead, Phil Jones

OnderzoeksoutputAcademicpeer review

2 Citaten (Scopus)

Samenvatting

This chapter critically reviews the state-of-the-art in spatial microsimulation and agent-based modelling approaches with an emphasis on efforts to combine them in order to address applied geography problems. Spatial microsimulation typically involves the merging of census and social survey data to simulate a population of individuals within households (for different geographical units) whose characteristics are as close to the real population as it is possible to estimate (and for small areas for which this information is not available from published sources). Microsimulation is closely linked conceptually to another type of individual-level modelling: agent-based models (ABM). ABM are normally associated with the behaviour of multiple agents in a social or economic system. This chapter offers an overview of the state-of-the-art of both modelling approaches as well as a discussion of attempts to combine them, with an articulation of a relevant research agenda.
Originele taal-2English
TitelThe Practice of Spatial Analysis
Subtitel Essays in memory of Professor Pavlos Kanaroglou
RedacteurenHelen Briassoulis, Dimitris Kavroudakis, Nikolaos Soulakellis
Plaats van productieCham
UitgeverijSpringer
Pagina's69-84
ISBN van elektronische versie978-3-319-89806-3
ISBN van geprinte versie978-3-319-89805-6
DOI's
StatusPublished - 2018

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