This project examines various stakeholder interests to evaluate whether on-demand ride-hailing will help or will undermine sustainable transportation systems.
This study explores the factors that affect the use of ridehailing services as well as the adoption of shared (pooled) ridehailing using data collected in California in fall 2018 using a cross-sectional travel survey.
In this paper, researchers investigated the factors affecting the adoption of ridehailing through the estimation of a latent-class adoption model that captures the heterogeneity in individuals’ tastes and preferences.
The NCST congratulates our UC Riverside and UC Davis dissertation grant and graduate fellowship recipients for the Fall 2020 cycle! Our recent awardees are contributing to research on electric vehicle charging infrastructure, pavement performance, highway traffic management, ridehailing, and disaster modeling!
This study developed a parking simulation in SUMO following a set of parking behaviors (e.g., parking search, parking with off-street parking information availability, double-parking). These scenarios were tested in three different (land use-based) sub-study areas representing residential, commercial and mixed-use.
