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Social and Behavioral Sciences Commons

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Public Affairs, Public Policy and Public Administration

2022

Automated vehicles

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Managing The Curb: Understanding The Impacts Of On-Demand Mobility On Public Transit, Micromobility, And Pedestrians, Susan Shaheen, Elliot Martin, Adam Cohen, Jacquelyn Broader, Richard Davis Jul 2022

Managing The Curb: Understanding The Impacts Of On-Demand Mobility On Public Transit, Micromobility, And Pedestrians, Susan Shaheen, Elliot Martin, Adam Cohen, Jacquelyn Broader, Richard Davis

Mineta Transportation Institute

In recent years, innovative mobility and shifts in travel and consumption behavior are changing how people access and use the curb. Shared mobility—the shared use of a vehicle, bicycle, scooter, or other mode—coupled with outdoor dining, curbside pick-up, and robotic delivery are creating new needs related to the planning, management, and enforcement of curb access. This study examines curb planning and management from several angles, such as safety, social equity, and multimodal connections. This research employs a multi-method approach to identify the changing needs for curb space management and how to meet these needs through new planning and implementation policies …


Transportation Mode Choice Behavior In The Era Of Autonomous Vehicles: The Application Of Discrete Choice Modeling And Machine Learning, Sangwan Lee Jun 2022

Transportation Mode Choice Behavior In The Era Of Autonomous Vehicles: The Application Of Discrete Choice Modeling And Machine Learning, Sangwan Lee

Dissertations and Theses

New mobility technologies, such as shared mobility services (e.g., car-sharing) and, more importantly, autonomous vehicles (AVs), continue to evolve. The supply-side advancement will likely disrupt and transform transportation mode choice behaviors, and create a new paradigm since they are emerging and becoming increasingly feasible alternatives to the existing modes of transportation. Accordingly, this dissertation employs discrete choice modeling (DCM) and machine learning (ML) using a U.S. nationwide stated choice experiment to understand how travelers adopt new transportation modes or continue to use conventional modes of transportation.

This dissertation consists of three papers. The first examines future market shares of each …