In this study, the researchers examine the rate of bike-share adoption by individuals from different socio-demographic groups and living in different bicycling contexts.
The purpose of this study is to develop an analytical framework for assignment of individual vehicular trips into viable carpooling pairs under a constrained set of reasonable restrictions, such as temporal and spatial bounds/limits and user preferences.
Community-based carpooling has the potential to alleviate traffic congestion and reduce the transportation carbon footprint. One of the major barriers to implementation is the difficulty of optimizing carpool formation in large systems. This study utilizes two different methods to solve the carpooling optimization problem: 1) bipartite algorithm and 2) integer linear programming.
This study evaluates differences in travel burdens and the factors that drive them in rural and urban contexts in the United States. Using the 2017 National Household Transportation Survey, the authors first evaluate differences in travel burdens across rural versus urban communities, including i) the magnitude of travel burdens, ii) who experiences travel burdens, and iii) the individual and environmental factors that are associated with travel burdens.
Principal InvestigatorSeshadri Srinivasa Raghavan, Ph.D.
University of California, Davis
This dissertation presents a unified framework for understanding plug-in electric vehicle (PEV) usage, with special focus on household factors, user preferences, and PEV technologies. The researcher also looks at energy, emissions, and infrastructure-related factors.
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.
