conference paper
WIP: Deployability improvement, stealthiness user study, and safety impact assessment on real vehicle for dirty road patch attack
Workshop on Automotive and Autonomous Vehicle Security (AutoSec)
Publication Date
January 1, 2021
Archives: Research Products
published journal article
An instantaneous kinematic wave theory of diverging traffic
Transportation Research Part B: Methodological
Publication Date
February 1, 2013
Author(s)
Suggested Citation
Wen-Long Jin and H. Michael Zhang (2013) “An instantaneous kinematic wave theory of diverging traffic”, Transportation Research Part B: Methodological, 48(1), pp. 1–16. Available at: 10.1016/j.trb.2012.12.001. research report
Factors affecting speed of motor vehicles on urban arterials: Case of chennai, India
Publication Date
January 1, 2006
Author(s)
Suggested Citation
Michael G McNally, R Jayakrishnan, Nesamani Subramanian Kalandiyur and KP Subramanian (2006) Factors affecting speed of motor vehicles on urban arterials: Case of chennai, India.
policy brief
What Should Agencies Measure to Decide if Microtransit Is Working?
Publication Date
January 1, 2026
Associated Project
Author(s)
Michael Hyland, Kari Edison Watkins, Susan Shaheen
Areas of Expertise
Abstract
California state agencies, public transit agencies, and cities have invested in dozens of microtransit pilot programs, often with the stated goals of improving access, filling gaps in fixed-route public transit service, and serving communities that are difficult to reach by traditional bus or rail. As microtransit services mature, agencies increasingly face decisions about whether to expand, modify, or discontinue microtransit services—and how to allocate scarce operating funds across competing transit priorities.Despite growing investment, there is no consistent approach to measuring whether microtransit services are delivering meaningful benefits relative to their costs, or whether those benefits are equitably distributed. Without clear and well-balanced performance metrics, agencies risk drawing the wrong conclusions about success or failure.
published journal article
What Is the Connection? Understanding Shared Micromobility Links to Rail Public Transit Systems in Major California Cities
Sustainability
Publication Date
January 9, 2024
Associated Project
Author(s)
Mengying Ju, Elliot Martin, Susan Shaheen
Areas of Expertise
Abstract
As shared micromobility (bikes and scooters) has proliferated throughout urban areas, there has been growing interest in how it facilitates connections with rail transit systems. This study explores the magnitude of interactions between shared micromobility and rail public transit systems using shared micromobility trip data and rail transit schedule data. We evaluate over one million trips from October 2019 to February 2020 in four California cities (San Francisco, Los Angeles, Sacramento, and San Jose) and develop criteria to identify trips connecting to rail transit. These include spatial and temporal rules, such as whether a trip starts/terminates close to public transit stations and whether a trip takes place when transit systems are operating. The criteria are examined via sensitivity analyses. The results indicate the degree of interaction between rail public transit and shared micromobility varies across cities and systems (i.e., docked/dockless). Most connections take place in the downtown or around public transit hubs. About 5–20% of all shared micromobility trips are identified as accessing or egressing from rail transit. These connecting trips exhibit commute-driven patterns and greater measured velocities. We conclude by examining the applicability of incorporating schedule information into the identification process of shared micromobility trips connecting to rail transit systems.
Suggested Citation
Mengying Ju, Elliot Martin and Susan Shaheen (2024) “What Is the Connection? Understanding Shared Micromobility Links to Rail Public Transit Systems in Major California Cities”, Sustainability, 16(2), p. 555. Available at: 10.3390/su16020555.Related Publications
Phd Dissertation
Essays in urban economics
Publication Date
January 1, 2009
Author(s)
Areas of Expertise
Abstract
Three independent research papers, all broadly focused on urban and transportation economics comprise the chapters of this dissertation. These empirical papers address a variety of policy oriented issues surrounding the automobile. Although related in theme, the objective, scope, and empirical strategy of each paper differs. The first chapter, “Does traffic congestion reduce employment growth?”, examines the impact of traffic congestion on employment growth in large U.S. metropolitan areas. I use an historic highway plan and political variables to serve as instruments for endogenous congestion. The results show that high initial levels of congestion dampen subsequent employment growth. This finding suggests that increasing the efficiency of public infrastructure can spur local economies. A set of counterfactual estimates show that the employment-growth returns from modest capacity expansion or congestion pricing are substantial. The second chapter, “Induced demand and rebound effects in road transport” (with Kenneth Small and Kurt Van Dender) uses a simultaneous equations model and aggregate data to estimate how drivers’ respond to exogenous increases in vehicle fuel-efficiency. One consequence of efficiency improvements is an increase vehicle use, which can moderate fuel savings. Accurate measures of this so-called ‘rebound effect’, are of interest to policy makers assessing the effectiveness of the Corporate Average Fuel Economy standards. This research paper also measures how traffic congestion and highway infrastructure affect vehicle use. The third chapter, “Evaluating the effectiveness of metered parking policy: evidence from a quasi-experiment”, uses a unique observational data set to assess metered parking policy. Although metered parking is ubiquitous, we know little about its effectiveness, particularly its impact on the retailers it is designed to assist. Sharp twice-daily changes in parking meter enforcement allow me to compare shopping behavior in both free and metered parking environments. Using the regression discontinuity design, I find that parking fees can have large impacts on nearby commerce.
Suggested Citation
Kent Matthew Hymel (2009) Essays in urban economics. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991027750239704701 (Accessed: October 14, 2023). policy brief
Charging-as-a-Service is an Innovative Business Model that Could Help with California’s Vehicle Electrification Goals
Publication Date
April 1, 2025
Associated Project
Author(s)
Areas of Expertise
Abstract
Access to electric vehicle (EV) charging infrastructure is critical to advancing California’s EV adoption goals. The California Energy Commission has projected the state needs “nearly 1.2 million” chargers by 2030 “to meet the fueling demands of 7.5 million passenger plug-in electric vehicles.” Currently, California has about 152,000 publicly available EV chargers. Innovative asset ownership models, like charging-as-a-service (CaaS), could help overcome some of the barriers to deploying and maintaining charging infrastructure. For example, CaaS providers could procure, install, maintain, and replace charging equipment for subscription customers. To better understand how CaaS solutions could expand EV use and charging access, this researchers conducted semi-structured interviews with 13 CaaS companies, electric utilities, and customers to identify the perceptions, challenges, and opportunities of the CaaS business model in addressing charging station needs in California.
Suggested Citation
Angela Yun and Matthew D. Dean (2025) Charging-as-a-Service is an Innovative Business Model that Could Help with California’s Vehicle Electrification Goals. Policy Brief. UC ITS. Available at: https://doi.org/10.7922/g2tq5zw4.Related Publications
presentation
Complete Street Composition - Infrastructural Improvements to Transportation Planning and Design in Orange County, California
Publication Date
October 28, 2022
Associated Project
Author(s)
Suggested Citation
Joseph Faria-Poynter (2022) “Complete Street Composition - Infrastructural Improvements to Transportation Planning and Design in Orange County, California”. 2022 ITS-Irvine Emerging Scholars Transportation Research Showcase, ITS-Irvine, 28 October. Available at: https://youtu.be/Rpdf6-T_fCk?t=1942. research report
Review of “Bay Area/California high-speed rail ridership and revenue forecasting study”
Publication Date
January 1, 2010
Author(s)
David Brownstone, S. Madanat, M. Hansen
Suggested Citation
David Brownstone, S. Madanat and M. Hansen (2010) Review of “Bay Area/California high-speed rail ridership and revenue forecasting study”. California High Speed Rail Authority. working paper
Predicting the Market Penetration of Electric and Clean-Fuel Vehicles
Publication Date
November 1, 1991
Author(s)
Thomas Golob, Ryuichi Kitamura, Mark Bradley, David Bunch
Working Paper
UCI-ITS-WP-91-13
Areas of Expertise
Abstract
Air quality in Southern California and elsewhere could be substantially improved if some gasoline powered personal vehicles were replaced by vehicles powered by electricity or alternative fuels, such as methanol, ethanol, propane, or compressed natural gas. Quantitative market research information about how consumers are likely to respond to alternative-fuel vehicles is critical to the development of policies aimed at encouraging such technological change. In 1991, a three-phase stated preference (SP) survey was implemented in the South Coast Air Basin of California to predict the effect on personal vehicle purchases of attributes that potentially differentiate clean-fuel vehicles from conventional gasoline (or diesel) vehicles. These attributes included: limited availability of refueling stations, limited range between refueling or recharging, vehicle prices, fuel operating costs, emissions levels, multiple-fuel capability, and performance. Respondents were asked to choose one vehicle from each of five sets of hypothetical clean-fuel and conventional gasoline vehicles, each vehicle defined in terms of attributes manipulated according to a specific experimental design. Discrete choice models, such as the multinomial logit model, are then used to estimate how the values of the attribute levels influence purchase decisions. The SP survey choice sets were customized to each respondent’s situation, as determined in the preceding Phase of the survey. The final Phase of the survey involved fuel-choice SP tasks for multi-fuel vehicles that can run on either clean fuels or gasoline. Preliminary results from a pilot sample indicate that the survey responses are plausible and will indeed be useful for forecasting.