Urban Studies and Planning Commons^™

Modeling Changes In Public Transit And Private-For-Hire Usage When Implementing A Spatial Tax, Ty Lazarchik

REU Final Reports

Private-for-Hire (PfH) transportation options, such as Uber, Lyft, and taxicabs, are consistently growing in popularity. With this expanded utilization, cities are struggling to maintain usage of their public transit systems. While PfH transportation has been heavily researched, there is a need to further study how its effects on transit usage may be minimized. In this paper, previous work in traffic modeling and analysis of transit and PfH differences are expanded to develop an agent-based decision model in order to simulate and analyze the effectiveness of implementing a location-based tax in and around the city center of Portland, Oregon. The results …

National Study Of Brt Development Outcomes, Arthur C. Nelson, Joanna Ganning

TREC Final Reports

Bus rapid transit (BRT) is poised to become the “next big thing” in public transit. From virtually no systems a generation ago, there are now 19 lines operating with at least seven under construction and more than 20 in the planning stages. BRT is gaining popularity because of its combination of low capital cost and potential for high levels of benefits. But are BRT systems effective in attracting development?

To answer this and many more trending BRT questions, the Metropolitan Research Center (MRC) reviewed multiple studies using data from the United States Census Bureau, Longitudinal Employer-Household Dynamics, and CoStar data …

Improving The Representation Of The Pedestrian Environment In Travel Demand Models, Phase I, Kelly J. Clifton, Patrick Allen Singleton, Christopher Devlin Muhs, Robert J. Schneider, Peter Lagerwey

Civil and Environmental Engineering Faculty Publications and Presentations

There is growing support for improvements to the quality of the walking environment, including more investments to promote pedestrian travel. Metropolitan planning organizations (MPOs) are improving regional travel demand forecasting models to better represent walking and bicycling and to expand the evaluative capacity of models to address policy-relevant issues like air quality, public health, and the smart allocation of infrastructure and other resources. This report describes an innovative, spatially disaggregate method to integrate walking activity into trip-based travel models. Using data for the Portland, OR, metropolitan area, the method applies trip generation at a new micro-scale spatial unit: a 264-foot-by-264-foot …