Development of a Prototype Land Use Model for Statewide Transportation Planning Activities

摘要: Future land use forecasting is an important input to transportation planning modeling. Traditionally, allocated individual traffic analysis zones (TAZ) based on variables such as the amount of vacant land, zoning restriction, and policy limitations, accessibility, under externally estimated control number in population employment growth at county level. This allocation approach does not consider agglomeration factors, market equilibrium supply demand, sensitive different changes. To overcome limitations this conventional approach, research project uses a new analytical i.e., combination cellular automata (CA) agent-based modeling methods estimate future allocation. The major advantage its integration with FSUTMS models. feedback cycle between models can simulate interactions two. study employs three indicators compare simulation accuracy integrated framework standalone models, including link saturation network, overall vehicle miles traveled (VMT), hours (VHT). results show that inclusion produces better than model alone, help modelers use-transportation system, decision makers understand consequences scenarios planning.