This study uses data from bike-share user surveys in the Sacramento region to perform market segmentation based on perceptions of the bike-share service, mode use patterns, and bike-share use.
Researchers will leverage unique survey data on travel behavior in the greater Sacramento region before and after the availability of the dockless e-bike-share and e-scooter-share.
Bike-share systems are proliferating across the US and could expand opportunities for those most underserved by the transportation system. A deeper understanding of current bike-share users could enable the expansion of these services and their benefits to a larger population.
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.
This paper identifies factors influencing mode substitution, defined here as the mode that is replaced when bike-share is used. Results provide guidance for designing bike-share operations and policies to enhance car substitution.
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!
Researchers at the University of California, Davis investigated the range of potential impacts that rapid adoption of CAVs in California might have on vehicle miles traveled and emissions.
