policy brief

Free and Reduced Transit Fare Programs in California Increased After COVID-19–But Can it Last?

Abstract

Free and reduced transit fare programs can boost transit ridership and benefit low-income individuals, students, seniors, and those with disabilities though financial sustainability is typically a concern. During the COVID-19 pandemic, transit agencies across California faced dramatic ridership declines and began expanding these programs—particularly for students—as a strategy to rebuild demand. Yet, little is known about how widespread free and reduced transit fare programs have become, what impacts they are having on ridership, and how agencies are funding them. To help address these questions, we surveyed California transit agencies in 2019 and 2024 and interviewed selected agencies to better understand how these programs are working in practice.

conference paper

A Structural Analysis of COVID-19 Spread and Human Mobility in the Early Phase of the Pandemic

101st Annual Meeting of the Transportation Research Board

Publication Date

January 1, 2022

Author(s)

Rezwana Rafiq, Tanjeeb Ahmed, Yusuf Sarwar Uddin
Suggested Citation
Rezwana Rafiq, Tanjeeb Ahmed and Md Yusuf Sarwar Uddin (2022) “A Structural Analysis of COVID-19 Spread and Human Mobility in the Early Phase of the Pandemic”. 101st Annual Meeting of the Transportation Research Board.

Preprint Journal Article

Fleet Operator Perspectives on Alternative Fuels for Heavy-Duty Vehicles

Abstract

Despite the deployment of alternative fuel vehicles (AFVs) being one of the promising measures to reduce air pollutants and greenhouse gas emissions, AFVs still represent a very small share in the heavy-duty vehicle (HDV) sector. Understanding HDV fleet operator perspectives on alternative fuels is critical to developing effective demand-side strategies to facilitate wider and more rapid adoption of heavy-duty AFVs. This study explored California HDV fleet operator perspectives on viable alternative fuel options in the next 10 to 20 years, along with motivators for, and barriers to, such adoption. Eighteen in-depth qualitative interviews were conducted, after which thematic analysis was employed to analyze the interview data. Electric, hydrogen, compressed natural gas (CNG), and hybrid options were commonly perceived as viable in the 2030s by the participating organizations. Various optimistic aspects were addressed, including advanced technologies and emission reduction benefits (electric/hydrogen), continued fuel commitments due to their fleet or infrastructure investments already made (CNG), and lower complexity in fleet routing along with favorable driver acceptance (hybrid options). However, many concerns and uncertainties were also reported, including functional unsuitability (electric), uncompetitive upfront costs (hydrogen), unready infrastructure, perceived unavailability of vehicles, uncertain return on investment (electric/hydrogen), and unpromising support from state government (CNG). The study findings help fill a key knowledge gap in AFV fleet adoption research regarding HDV fleet operator perspectives, and contribute to developing demand-side strategies to aid the success of AFV diffusion throughout the HDV market.

Suggested Citation
Youngeun Bae, Craig R. Rindt, Suman Mitra and Stephen G. Ritchie (2022) “Fleet Operator Perspectives on Alternative Fuels for Heavy-Duty Vehicles”. Rochester, NY: SSRN. Available at: https://papers.ssrn.com/abstract=4253440 (Accessed: October 5, 2023).

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

Author(s)

Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
Suggested Citation
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin and Qi Alfred Chen (2021) “WIP: Deployability improvement, stealthiness user study, and safety impact assessment on real vehicle for dirty road patch attack”, in Workshop on Automotive and Autonomous Vehicle Security (AutoSec), p. 25. Available at: https://www.ndss-symposium.org/wp-content/uploads/autosec2021_23027_paper.pdf (Accessed: October 11, 2023).

published journal article

Individual truck speed estimation from advanced single inductive loops

Transportation Research Record

Suggested Citation
Yiqiao Li, Andre Y.C. Tok and Stephen G. Ritchie (2019) “Individual truck speed estimation from advanced single inductive loops”, Transportation Research Record, 2673(5), pp. 272–284. Available at: 10.1177/0361198119841289.

published journal article

An instantaneous kinematic wave theory of diverging traffic

Transportation Research Part B: Methodological

Publication Date

February 1, 2013
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
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.

published journal article

Child serum metabolome and traffic-related air pollution exposure in pregnancy

Environmental Research

Publication Date

January 1, 2022

Author(s)

Beate Ritz, Qi Yan, Di He, Jun Wu, Douglas I. Walker, Karan Uppal, Dean P. Jones, Julia E. Heck

Abstract

Background Maternal exposure to traffic-related air pollution during pregnancy has been shown to increase the risk of adverse birth outcomes and childhood disorders. High-resolution metabolomics (HRM) has previously been employed to identify metabolic responses to traffic-related air pollution in adults, including pregnant women. Thus far, no studies have examined metabolic effects of air pollution exposure in utero on neonates. Methods We retrieved stored neonatal blood spots for 241 children born in California between 1998 and 2007. These children were randomly selected from all California birth rolls to serve as birth-year matched controls for children with retinoblastoma identified from the California cancer registry for a case control study of childhood cancer. We estimated prenatal traffic-related air pollution exposure (particulate matter less than 2.5 μm (PM2.5)) during the third-trimester using the California Line Source Dispersion Model, version 4 (CALINE4) based on residential addresses recorded at birth. We employed untargeted HRM to obtain metabolic profiles, and metabolites associated with air pollution exposure were identified using partial least squares (PLS) regression and linear regressions. Biological effects were characterized using pathway enrichment analyses adjusting for potential confounders including maternal age, race/ethnicity, and education. Results In total we extracted 4038 and 4957 metabolite features from neonatal blood spots in hydrophilic interaction (HILIC) chromatography (positive ion mode) and C18 reverse phase columns (negative ion mode), respectively. After controlling for confounding factors, partial least square regression (Variable Importance in Projection (VIP) ≥ 2) selected 402 HILIC positive and 182 C18 negative features as statistically significantly associated with increasing third trimester PM2.5 exposure. Using pathway enrichment analysis, we identified metabolites in oxidative stress and inflammation pathways as being altered, primarily involving lipid metabolism. Conclusion The metabolite features and pathways associated with air pollution exposure in neonates suggest that maternal exposure during late pregnancy contributes to oxidative stress and inflammation in newborn children.

Suggested Citation
Beate Ritz, Qi Yan, Di He, Jun Wu, Douglas I. Walker, Karan Uppal, Dean P. Jones and Julia E. Heck (2022) “Child serum metabolome and traffic-related air pollution exposure in pregnancy”, Environmental Research, 203, p. 111907. Available at: 10.1016/j.envres.2021.111907.

research report

Zero-Emission Vehicle Transition in California’s Construction Industry

Publication Date

June 1, 2026

Abstract

Although construction equipment generates 2% to 3% of total GHG emissions in California, the construction sector lags behind other industries for decarbonization, primarily due to the systemic challenges of delivering high-capacity electric power to temporary and remote jobsites. This study investigates the primary infrastructure, regulatory, and economic barriers to construction site electrification while exploring technological and policy solutions. Using a multi-faceted approach, the research conducted a literature review, interviewed California Electric Load-Serving Entities, and analyzed emerging mobile charging technologies. Findings indicate that utility support varies by institutional model; municipal utilities often manage requests more efficiently than larger investor-owned utilities, which face complex regulatory hurdles. Key obstacles include local grid capacity limitations, long lead times and high costs for distribution upgrades, and high capital costs for electric machinery. Since the immediate benefits of electrification—the elimination of tailpipe emissions and significant noise reduction—are most impactful in densely populated urban areas, electrification should be prioritized in these areas with quiet zones and low-emission construction zones coupled with subsidies to absorb the cost of bringing electric infrastructure to these sites. Alternative power solutions such as mobile battery energy storage systems (BESSs), hydrogen fuel cell generators, and solar-powered units could help other construction sites. A successful transition requires a coordinated framework involving streamlined permitting, technical guidance for emerging infrastructure, and targeted financial support to lower costs and improve local air quality.

published journal article

Estimating the value of urban green areas: A hedonic pricing analysis of the single family housing market in Los Angeles, CA

Landscape Urban Plann.

Publication Date

March 1, 2012
Suggested Citation
Jean-Daniel Saphores and Wei Li (2012) “Estimating the value of urban green areas: A hedonic pricing analysis of the single family housing market in Los Angeles, CA”, Landscape Urban Plann., 104(3-4), pp. 373–387. Available at: 10.1016/j.landurbplan.2011.11.012.