New and Old Network Models for Design and Analysis of Shared Mobility Systems

Ride-hailing services emerged nearly a decade ago and have steadily grown in both market share and impact on transportation systems and cities. In this event, we will see the power of networks in modeling these shared mobility services across two studies.  The first study develops metrics, based on a novel network-based quadratic program, to characterize the shareability potential of cities at a fundamental mode-agnostic level. These metrics provide valuable insights into the sharing potential of an entire network, of specific network links and corridors, and of a particular node. The second study uses a simple, yet powerful, minimum cost network flow model on a time expanded network to determine fleet sizes for automated mobility-on-demand services. We will compare the proposed modeling approach with the state-of-the-art deterministic fleet sizing model, and view the proposed approach’s computational advantages (i.e., the problem size is independent of ride-hail trip count) and practical advantages.

Michael Hyland is an Assistant Professor at the UCI in the Civil and Environmental Engineering department and an affiliate of the Institute of Transportation Studies at UC Irvine (ITS-Irvine). His research centers on modeling and analysis to support the planning, design, management, and operations of multi-modal transportation systems, with focus on emerging transportation innovations and their impacts on transportation systems. Dr. Hyland is a member of the Transportation Research Board’s Network Modeling Committee and of the Early Career Editorial Advisory Board for Transportation Research Part C: Emerging Technologies, is a two-time recipient of the Dwight David Eisenhower Transportation Fellowship and was named one of the Top 20 Future Leaders in Transportation by the Eno Center for Transportation.