published journal article
Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transportation Planning
Transportation Research Part B: Methodological
Publication Date
February 1, 2025
Archives: Research Products
conference paper
Mobility as a Service Portfolios for Travelers with Mobility Supplier and Consumer Roles in Shared and Multimodal Transportation Systems
Proceedings, 104th Annual Meeting of the Transportation Research Board
Publication Date
January 1, 2025
Author(s)
Abstract
This study investigates the use of shared autonomous vehicles (SAVs) to enhance the resilience of fixed-route transit systems. This study focuses on the strategic deployment of SAVs during disruptive events to serve stranded transit passengers alongside regular SAV travelers. The study begins by detailing the Santa Clara Valley Transportation Authority (VTA) Light Rail Transit (LRT) system, highlighting its capacities, challenges, and the potential improvements offered by SAVs. We present three disruptive scenarios. In the first scenario, a temporary transit disruption caused by an earthquake prompts the deployment of SAVs to transport stranded passengers to their homes or designated drop-off locations. The second scenario assumes a short-term transit operation disruption due to an earthquake in which SAVs transport stranded passengers to their homes or designated SAV drop-off locations. Third scenario examines a complete, long-term transit shutdown resulting from a safety/security issue, such as a mass shooting-induced multi-month system closure. We propose and deploy an agent-based model to test various SAV deployment strategies in these three scenarios to understand the improvement of performance metrics such as traveler wait time and delay in the disrupted transit system. The results provide a concrete demonstration of the promising role of SAVs during transit system disruption. Through the disruption scenarios, we provide insights into the performance under various fleet sizes and their availability of use. This study provides a valuable analysis for urban planners, transportation authorities, and policymakers interested in leveraging shared mobility and automation technologies for improved urban mobility resilience.
Suggested Citation
Sunghi An, R Jayakrishnan and Michael F. Hyland (2025) “Mobility as a Service Portfolios for Travelers with Mobility Supplier and Consumer Roles in Shared and Multimodal Transportation Systems”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C.. published journal article
Measuring Air Carrier Passengers’ Values of Time by Trip Component
Transportation Research Record: Journal of the Transportation Research Board
Publication Date
January 1, 2016
Author(s)
Steven Landau, Geoffrey D. Gosling, Kenneth Small, Thomas Adler
Abstract
This paper investigates how the value of airline passenger time varies by trip component and how the calculation of value of time can be related to capital investments specific to each component. Travel time is often a significant consideration in benefit–cost analysis for airport projects. The empirical results reported in this paper are based on a stated preference survey and subsequent model estimation. The survey used two conjoint exercises—one related to airport ground access and in-airport time components and a second covering attributes related to the flight itinerary. It was found that values of time differ by trip segment and travelers’ trip purpose.
Suggested Citation
Steven Landau, Geoffrey D. Gosling, Kenneth Small and Thomas Adler (2016) “Measuring Air Carrier Passengers’ Values of Time by Trip Component”, Transportation Research Record: Journal of the Transportation Research Board, 2569(1), pp. 24–31. Available at: 10.3141/2569-03. conference paper
Electric Vehicles in Urban Delivery Fleets: How Far Can They Go?
Proceedings, 104th Annual Meeting of the Transportation Research Board
Publication Date
January 1, 2025
Author(s)
Abstract
The goal of this study is to provide insights into the expected role of medium-duty electric vehicles (EVs) in urban delivery fleets and to analyze the effectiveness of EV subsidies on EV fleet penetration and tailpipe emissions. To meet this goal, we propose a modeling framework that determines the minimum-cost fleet size and fleet mix (of EVs and conventional vehicles) and vehicle routes for a profit-maximizing delivery company. Second, we conduct extensive analyses using this modeling framework and Southern California network data; we vary the EV driving range, per-mile cost of EVs, demand rate. We find that the optimal fleet mix nearly always includes EVs and conventional vehicles. Moreover, we find that EV subsidies have limited effectiveness with current EV batteries and service regions designed around conventional vehicles. Hence, improving EV battery technology is critical to electrifying urban delivery fleets.
Suggested Citation
Dingtong Yang and Michael Hyland (2025) “Electric Vehicles in Urban Delivery Fleets: How Far Can They Go?”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C.. published journal article
The bottleneck model: An assessment and interpretation
Economics of Transportation
Publication Date
March 1, 2015
Author(s)
Suggested Citation
Kenneth A. Small (2015) “The bottleneck model: An assessment and interpretation”, Economics of Transportation, 4(1-2), pp. 110–117. Available at: 10.1016/j.ecotra.2015.01.001.
policy brief
New Tool from UC Irvine Could Save the State Millions while Providing Better Data on Truck Activity in California
Publication Date
October 1, 2019
Author(s)
Abstract
Author(s): Tok, Andre; Ritchie, Stephen G.; Rindt, Craig
Suggested Citation
Andre Tok, Stephen G. Ritchie and Craig Rindt (2019) New Tool from UC Irvine Could Save the State Millions while Providing Better Data on Truck Activity in California. Policy Brief. Available at: https://escholarship.org/uc/item/12w5z2c8 (Accessed: October 11, 2023). conference paper
Measuring Consumer Willingness to Enroll in Battery Electric Vehicle Smart Charging Programs
104th Annual Meeting of the Transportation Research Board
Publication Date
January 1, 2025
Author(s)
Suggested Citation
P Hu, B. Tarroja, M. D. Dean, K. Forrest, Eric Hittinger, A Jenn and J.P. Helveston (2025) “Measuring Consumer Willingness to Enroll in Battery Electric Vehicle Smart Charging Programs”, in 104th Annual Meeting of the Transportation Research Board. Washington, D.C.. book/book chapter
Demand for Passenger Transportation
Publication Date
January 1, 2021
Author(s)
Kenneth Small, Robin Lindsey
Suggested Citation
Kenneth A Small and Robin Lindsey (2021) “Demand for Passenger Transportation”, in International Encyclopedia of Transportation. Elsevier, pp. 127–133. Available at: https://linkinghub.elsevier.com/retrieve/pii/B9780081026717100211 (Accessed: September 29, 2025). conference paper
Improving Transit System Resilience Using Shared Autonomous Vehicles
Proceedings, 104th Annual Meeting of the Transportation Research Board
Publication Date
January 1, 2025
Author(s)
Abstract
This study investigates the use of shared autonomous vehicles (SAVs) to enhance the resilience of fixed-route transit systems. This study focuses on the strategic deployment of SAVs during disruptive events to serve stranded transit passengers alongside regular SAV travelers. The study begins by detailing the Santa Clara Valley Transportation Authority (VTA) Light Rail Transit (LRT) system, highlighting its capacities, challenges, and the potential improvements offered by SAVs. We present three disruptive scenarios. In the first scenario, a temporary transit disruption caused by an earthquake prompts the deployment of SAVs to transport stranded passengers to their homes or designated drop-off locations. The second scenario assumes a short-term transit operation disruption due to an earthquake in which SAVs transport stranded passengers to their homes or designated SAV drop-off locations. Third scenario examines a complete, long-term transit shutdown resulting from a safety/security issue, such as a mass shooting-induced multi-month system closure. We propose and deploy an agent-based model to test various SAV deployment strategies in these three scenarios to understand the improvement of performance metrics such as traveler wait time and delay in the disrupted transit system. The results provide a concrete demonstration of the promising role of SAVs during transit system disruption. Through the disruption scenarios, we provide insights into the performance under various fleet sizes and their availability of use. This study provides a valuable analysis for urban planners, transportation authorities, and policymakers interested in leveraging shared mobility and automation technologies for improved urban mobility resilience.
Suggested Citation
Arash Ghaffar, Jiangbo Yu and Michael F. Hyland (2025) “Improving Transit System Resilience Using Shared Autonomous Vehicles”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C.. published journal article
Energy policies for passenger motor vehicles
Transportation Research Part A: Policy and Practice
Publication Date
July 1, 2012