Data

This tabular data can be used to evaluate perceived bicycling comfort on distinct state highways in California.

These are the Python scripts used in the research project titled, "BikewaySim Technology Transfer: City of Atlanta, Georgia". Note that these scripts may not be the latest version.

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". 

These appendices serve as a compilation of California and US Zero Emission Vehicle (ZEV) programs, laws, and incentives.

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.

What factors could strengthen or discourage a microtransit adopter to continue to use it? Who are these early adopters of microtransit? Guided by the theory of planned behavior, this study aims to fill the gap by conducting a large-scale survey focus on microtransit adopters and other means of transportation users in the Sacramento area of California in 2021 to address these research questions.

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

EV Explorer 2.0 includes several important features and functionalities to support the TNC driver use case that are not found in any other available tool: (1) It allows users to estimate TCO for used vehicles as well as new (others only estimate TCO for new vehicles); (2) Outputs include ridehail-driving income estimates, accounting for EV trip bonuses offered by Uber, net driving costs; (3) Estimates of total cost of driving (TCD) include charging network membership fees and charging session fees (in addition to electricity prices).