Agent-based microsimulation models of socioeconomic processes require an initial synthetic population derived from census data. This thesis builds upon the Iterative Proportional Fitting (IPF) synthesis procedure, which has well-understood statistical properties and close links with log-linear models. Typical applications of IPF are limited in the number of attributes that can be synthesized per agent. A new method is introduced, implementing IPF with a sparse list-based data structure that allows many more attributes per agent. Additionally, a new approach is used to synthesize the relationships between agents, allowing the formation of household and family agents in addition to individual person agents. Using these methods, a complete population of persons, families, households and dwellings was synthesized for the Greater Toronto Area and Hamilton.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OTU.1807/17214 |
| Date | 26 February 2009 |
| Creators | Pritchard, David Robert |
| Contributors | Miller, Eric |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
| Format | 2119452 bytes, application/pdf |
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