This project examines population shifts that result from rail station construction. It addresses pre-existing concerns of new rail neighborhoods leading to gentrification.
This research aims to explore how both transit riders and non-riders access public transit information for the purpose of planning and taking trips on transit
This project builds off of a previous project nearing completion (Designing Public Transit Stations to Enhance Access to First/Last Mile Mode Choices) by continuing stakeholder interviews, updating ArcGIS map files (bicycle lane, operator zones, transit stations), exploring travel behavior, and monitoring best practices to increase micromobility and public transit ridership post-COVID-19.
The research team will develop Python code to integrate TransitSim shortest transit path predictions for every origin-destination pair and departure time into regional activity-based travel demand model (ABM) outputs.
This project will investigate patterns of local policymaking in California to support transit-oriented development (TOD), transit, and active transport.
This project utilizes the Department of Energy's Systems and Modeling for Accelerated Research in Transportation (SMART) workflow to evaluate potential outcomes of electrification policies, specifically for transit and rideshare systems. This will be accomplished by harnessing a large-scale agent-based activity-based transportation modeling tool designed for the Houston Metropolitan Area.
This project will address the lack of systematic research on the topic by (1) identifying common TOD and transit/AT financing tools-in-use, (2) conducting a survey and interviews with local planners, (3) analyzing findings in connection to characteristics and motivations distinguishing localities, and (4) assessing financing and planning strategies more intensively in case study cities useful for considering best practices.
