modeling

This dissertation proposes an inclusive framework to analyze ride-pool services, assuming they implement the mechanism of spatial bipartite matching. An agent-based simulator is developed to validate and calibrate the models.

The dataset is an Analytical Tool (.xlsm format) to model last-mile delivery and different city logistics measures in the context of e-commerce delivery.

This report discusses the project which aimed to develop an analytical framework to model urban last mile delivery, building upon the previously developed econometric behavior models that capture e-commerce demand.

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 goal of this project was to assess the capabilities of the travel demand forecasting models (TDMs) used by California’s metropolitan planning organizations (MPOs) with respect to forecasting the increase in vehicle miles of travel induced by highway capacity expansion.

This study explored potential system-level travel effects of vehicle automation in the San Francisco Bay Area.

This research explores how road grade impacts the operations of light-duty vehicles and heavy-duty express buses on freeways.