Abstract
The focus of this chapter is on the residential choice component in the Albatross and Ramblas model systems. Both models are primarily activity-based models of transport demand. Their prime goal is to predict activity–travel patterns and associated traffic flows. The distribution of residential land use, in terms of households and persons, is exogenously given. Most progress to date in terms of actual software development has been completed in the context of Ramblas. It contains a module for modelling residential choice behaviour that is used to predict the choice of residential zone for people moving house and newcomers in the housing market. Simultaneously, the properties of the dwelling stock are updated. Residential preferences measured in theNational Housing Survey are matched against vacant dwellings in the market. These preferences are measured using a compositional stated preference approach, but alternatively any conjoint preference approach could be used in principle.
| Original language | English |
|---|---|
| Title of host publication | Residential Location Choice |
| Subtitle of host publication | Models and Applications |
| Editors | Francesca Pagliara, John Preston, David Simmons |
| Publisher | Springer |
| Pages | 209-222 |
| Number of pages | 14 |
| ISBN (Electronic) | 978-3-642-12788-5 |
| ISBN (Print) | 978-3-642-12787-8, 978-3-642-26460-3 |
| DOIs | |
| Publication status | Published - 1 Jan 2010 |
Publication series
| Name | Advances in Spatial Science |
|---|---|
| Volume | 65 |
| ISSN (Print) | 1430-9602 |
| ISSN (Electronic) | 2197-9375 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
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