Spatial transferability using synthetic population generation methods.
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2016-04-19
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Abstract:In this study, we developed a new method to transfer daily travel behavior data from one place to another. This fills a critical gap in practical
applications that need data to study behaviors but also to estimate behavioral models. The basic ingredients of this new method are: a) the most
recent California Household Travel Survey (CRTS) data that includes household and person characteristics and an one day place-based diary
that spans an entire 12 month period in 2012 and 2013; b) a very detailed database of all the business establishments in California that enables
computation ofland use indicators at many geographical scales; and c) highway and public transportation networks connecting all the business
establishments to all the CRTS participants. A classification system of the different determinants of household travel behavior is first.
developed and then variables are used at the person, household, and spatial organization levels. Then, the CRTS is divided into two patis. The
first was used as the seed in synthetic population generation and the second to validate this new method. Finally, experiments were performed
and the best method to disseminate the results among practitioners was found.
The research questions addressed include:
1. Can we develop a small set of land use groups that capture behavioral heterogeneity?
2. Does the addition of the land use categories modify substantially the synthetic population generated?
3. What are the most important differences between synthetic population with and without land
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