TSRC

Bike lending offers a service that enables individuals to borrow bicycles for short-term use (i.e., ranging from 2 hours to 36 months), typically from designated locations within cities, campuses, or communities. Unlike bikesharing systems that typically rely on automated kiosks and/or undocked and free-floating devices for public access, bike lending involves a managed program with staff, similar to a library model. These programs can be administered by community organizations, bike shops, public libraries, and other local entities. They are typically community- or membership-based, with...

Automated vehicle (AV) ridehailing services are now operating in several metropolitan regions in the United States. While providing benefits, AV ridehailing services may exacerbate issues related to curb usage and vehicle kilometers traveled (VKT) in urban areas. The objective of this study is to provide guidance to cities by evaluating the impacts of AVs' short-term curb usage for staging between serving ride requests. We focus on the following performance metrics: VKT, curb productivity, customer wait time, and customer matching rate. To perform the analysis, we use a high-fidelity...

Transportation network companies (TNCs), also known as ridehailing, such as Uber and Lyft, have contributed to increased vehicle miles traveled (VMT) and associated emissions in California’s urban areas over the past decade. In response, Senate Bill (SB) 1014 – the Clean Miles Standard – requires TNCs to achieve 90% electric vehicle (EV) miles traveled and zero greenhouse gas (GHG) emissions per passenger mile by 2030. The California Public Utilities Commission (CPUC) and the California Air Resources Board (CARB) oversee implementation and enforcement of these targets.

California’s SB 1014 (Clean Miles Standard) mandates ridehailing fleet electrification to reduce emissions from vehicle miles traveled, posing financial and infrastructure challenges for drivers. This study employs a mixed-methods approach, including expert interviews (n = 10), group discussions (n = 8), and a survey of full- and part-time drivers (n = 436), to examine electric vehicle (EV) adoption attitudes and policy preferences. Access to home charging and prior EV experience emerged as the most statistically significant predictors of EV acquisition. Socio-demographic variables,...