This research will apply climate vulnerability assessments and the TBL approach to sustainability to rail infrastructure planning and resource allocation decision making. The results will be validated by rail operators and administrators to support improved investments in rail that are resilient to extreme events, protect the natural environment, enhance economic competitiveness, and improve societal quality of life, equitably.
The goal of this project is to understand barriers to potential ridership including a dearth of first- and last-mile connections, reliability of service, bicycle and pedestrian facilities near stations, cost, changes in attitudes, changes in demand for travel (induced by work from home preferences), and station level amenities including parking.
Datasets were compiled for the project "Applying Vulnerability Assessments and Triple Bottom Line Considerations to Rail Infrastructure Management: Toward an Integrated Framework for Rail Resilience and Sustainability" on enhancing climate resilience for rail systems.
This policy brief summarizes research that tested whether or not rail transit developments cause an influx of high-income residents and an outflow of low-income residents near rail stations.
This policy brief summarizes findings from a project aimed at addressing the question of "Is new rail transit associated with displacement of low-income residents in near-rail neighborhoods?" To ad
Based on a review of studies across freight, intercity passenger, and urban transit rail systems, metrics for resilience are identified, categorized, and analyzed along the disruption and recovery timeline (from before disruption occurrence to long after system recovery) in this report.
To begin to envision micromobility as serving existing public transit and acting as public transportation itself, the researchers will examine the role of pricing on micromobility demand. In this project, the researchers will conduct two pricing-focused field experiments, partnered with the micromobility operator, SPIN, and a railway operator, Capitol Corridor.
This seed grant project will conduct feasibility studies of the carbon-negative elevated high-speed rail ("CNE-HSR") with a case study in Texas along the Houston-San Antonio corridor.
The Fuel and Emissions Calculator (FEC) is an operating-mode-based, life-cycle energy and emissions modeling tool developed by Georgia Institute of Technology researchers.
