Using Spatial Microsimulation to Derive a Base File for a Spatial Decision Support System

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review


This chapter describes how a spatial microsimulation method could be used as input in a Spatial Decision Support System (SDSS) to provide simulations for planners and communities, showing what their community might look like given different economic, social and demographic parameters and constraints. We find that spatial microsimulation models can be used to create the synthetic person-level base file that can then be used by the SDSS to project potential future scenarios. The advantage of using spatial microsimulation to create the base file is that it can include other variables through imputation or statistical matching techniques based on the individual-level data. The SDSS with a synthetic population from a spatial microsimulation model can implement a number of complex boundaries, including physical boundaries, environmental boundaries and economic boundaries. Further, indicators like educational attainment, income and household type can also be projected, allowing for complex simulations of potential futures for a city under different scenarios.
Original languageEnglish
Title of host publicationPopulation Change and Impacts in Asia and the Pacific
EditorsJacques Poot, Matthew Roskruge
Place of PublicationSingapore
Number of pages14
ISBN (Electronic)9789811002304
ISBN (Print)9789811002298
Publication statusPublished - Apr 2020

Publication series

NameNew Frontiers in Regional Science: Asian Perspectives
PublisherSpringer Nature Singapore
ISSN (Print)2199-5974
ISSN (Electronic)2199-5982


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