emissions

In this study, a modeling framework for population exposure to traffic-related PM2.5 is proposed and applied to the I-575/I-75 Northwest Corridor (NWC) in Atlanta, GA, for environmental equity analysis. This dataset contains the energy and emission rate matrices used for the study.

The objective of this study is to develop a cohesive, unified dataset of life cycle inventories needed to quantify the effects of material, energy, waste, and emission flows on the environmental impacts of concrete.

This study examines climate action plans (CAPs) released by jurisdictions in California, and develops a framework to assess their inclusion, which could also be used to guide future CAP development, and develops a set of guiding questions to promote the inclusion of equity themes in climate action planning and implementation.

The results dataset used to populate the analyses presented in the report, "Combined Effect of Changes in Transit Service and Changes in Occupancy on Per-Passenger Energy Consumption". 

This dataset is from project UVM-DOT-704. In this study, the researchers aim to dive deeper into understanding how people travel and their perceptions and opinions about various components of travel in a majority rural state.

This work models a last-mile network design problem for an e-retailer with a capacitated two-echelon distribution structure - typical in e-retail last-mile distribution, catering to a market with a stochastic and dynamic daily customer demand requesting delivery within time-windows.

This is the dataset for project "Understanding Real-World Brake Activity: A Key to Assessing Non-Tailpipe Emission Sources for Sustainable Transportation and Communities" (UCR-DOT-1013).

This dataset stems from the project "Deep Learning-based Eco-driving System for Battery Electric Vehicles".

This dataset provides detailed information on the destination labels for the trip trajectory and charging of 65 Battery Electric Vehicles in California in the eVMT dataset

The dataset is generated as the outcome of the research project - Emissions Impact of Connected and Automated Vehicle Deployment in California.