Regulating the ride-hailing market in the age of uberization
camila2025-08-21T11:04:15-07:00Abstract The entry of transportation network companies like Uber and [...]
Abstract The entry of transportation network companies like Uber and [...]
Abstract The curb is a monopoly good: it is network infrastructure owned [...]
Cities would need to facilitate a multi-modal mobility platform, which provides travelers with a range of flexible mobility options, such as fixed-route or flex-route public transit, micro-transit, ride-sharing, car rentals, bike-sharing, scooters, and walking routes, some of which can be potentially served by automated vehicles. Those options altogether have potential to help residents reach businesses, employment, health care and other essential points of interest. This research acquires mobility service data to understand travel behavior in choosing mobility options, optimize design of such a platform by optimally placing mobility hubs with multiple mobility options, with the ultimate goals of improving system efficiency, increasing ridership, reducing system cost and enhancing travel safety.
In the absence of extensive real-world data on operational strategies and new mobility solutions, including automated vehicles and emerging mobility options, the adoption of modeling and simulation testbeds emerges as a pivotal tool for evaluation at scale. However, while there is a substantial body of research on modeling and simulating new mobility solutions, much of this work remains theoretical and disconnected from the practical needs of practitioners and policymakers. There is a critical need for more applicable, robust, and validated simulation testbeds that can bridge the gap between research and real-world applications. These testbeds should be designed to meet the specific requirements of practitioners and policymakers, enabling them to evaluate new mobility solutions effectively and make informed decisions to improve accessibility, efficiency and sustainability of transportation systems.
Public agencies and state and local governments often impose various regulations on shared mobility services. These regulations vary widely by place and mode, and the costs and benefits of these regulations are poorly understood. This project aims to categorize shared mobility regulations, identify their intents and impacts, and to better understand the balance of regulations.
The successful integration of Autonomous Vehicles (AVs) and new mobility solutions into urban environments faces challenges due to the complex interplay of technological advancements, diverse stakeholder interests, and unique local contexts. A lack of coordinated planning and collaboration among key stakeholders can lead to: - Fragmented approaches that lead to inefficient deployments, incompatible technologies, and missed opportunities to maximize the benefits of AVs and new mobility services. - Unforeseen consequences for land use, traffic flow, social impacts, and public acceptance. - Missing opportunities to use new automated vehicles and new mobility to address critical transportation challenges and achieve broader urban development goals. This project addresses this problem by facilitating collaborative, place-based planning processes that bring together stakeholders to develop comprehensive AV and new mobility strategies tailored to the specific needs and priorities of individual cities.
Matrix of research syntheses To understand current research [...]