Associated Publication

This study develops a model that estimates how the built environment affects the decision to choose ridehailing for making non-work trips.

This paper presents results from a 2018 survey of local planners about an impending transition in California’s environmental review law, which will require planners to evaluate land development projects for their effects on vehicle miles traveled (VMT) rather than automobile level-of-service (LOS).

Researchers present a simulation-based quasi-statistical approach to estimate electric vehicle energy consumption under various on-road vehicle operating conditions.

This paper presents a mathematical model for analyzing long-term infrastructure investment decisions in a deregulated electricity market, such as the case in the United States.

This research assessed the impact of USEPA’s AERMOD dispersion model (version of 19191) source types on predicted pollutant concentrations via a case study for the I-75/I-575 Northwest Corridor (NWC) in Atlanta, GA.

This paper argues that California should use opportunities to align the distribution of state transportation dollars with its climate objectives, not fall back on status quo allocation practices.

In this paper, researchers propose a generic framework of real-time energy management for plug-in hybrid electric vehicles, where an Estimation Distribution Algorithm (EDA) is used for on-line (i.e., real-time) optimization of the power-split strategy.

The paper contributes to the literature on millennials’ mobility by rigorously classifying various forms of travel multimodality through the analysis of a rich dataset that includes individual attitudes and preferences.

This paper presents a statistical meta-analysis of eco-driving feedback studies in order to determine a weighted estimate of the average impact of feedback on fuel economy and explore potential moderators of its effectiveness.

The researchers examined the factors associated with initial wildfire awareness time, the evacuation preparation time, and the departure time for the Camp Fire to suggest new pathways for better understanding how to plan and prepare for no-notice disaster events.