UC Santa Barbara

This paper looks at methods of incorporating land use into population synthesis. Although it is something that has not been explored in past research, this paper will show that it is imperative for synthesizing populations that represent travel behavior patterns well. The goal of the paper is to derive a land use classification scheme that shows significant differences in travel behavior and enhances population synthesis in its ability to represent travel behavior. Three different methods were devised and implemented, then they were compared to determine the ideal method. The paper concludes that using latent profile analysis as a means for classification is an ideal method that allows for flexibility in geographical areas synthesized and variables used.