Common use of Supplementary Notes Clause in Contracts

Supplementary Notes. Abstract This project developed a roadmap for future model enhancements of the Florida Statewide Model (FLSWM) in light of emerging planning issues and proposed enhancement strategies incorporating advanced demand modeling techniques. The roadmap was developed with accomplishment of three tasks: literature review, model evaluation with scenario analysis, and identification of improvement needs. The roadmap encompasses improvement tasks grouped into short-term, mid/long-term, and long- term stages. In the short-term, the trip-based approach of existing FLSWM is maintained. Modifications should focus on the most urgent needs, including time-of-day factoring that split daily trip tables into multiple periods which enables traffic assignment of peak periods. Additional modification could consider expanding the capacity of the cross-classification model for trip generation by including additional stratifications such as area type or household income. In the mid/long-term, a transition to an activity-based model can be staged given resources available. Through a population synthesizer, which simulates a population with detailed characteristics based on U.S. Census data, a variety of variables can be included in the subsequent choice models. A mobility choice component would be needed to address the adoption of vehicle technologies and mobility services, which would be critical in the era of autonomous, connected, electric shared vehicles (ACES). In addition, dynamic traffic assignment or traffic microsimulation can produce hour-by-hour traffic volumes that can effectively facilitate evaluation of efficiency-oriented policies and technologies. Longer-term enhancement may consider location choices for home, work and school and reflect the connection between transportation accessibility and land use. An additional mobility choice component, such as telecommuting adoption, can also be beneficial and reflect potential trend in telecommunications and the impacts on travel demand.