This project will translate rigorous research findings on rail infrastructure asset management into accessible educational and research tools and practical decision-support systems
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.
This project will explore how adaptive capacity in rail transportation infrastructure can be effectively measured and how different factors influence adaptive capacity.
This study synthesizes findings from semi-structured interviews with rail and transportation experts to characterize factors and options influencing adaptive capacity for rail and public transit systems to support reliable, resilient, and safe rail and transit service in the US.
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
