published journal article

Environmental Impacts of Transportation Network Company (TNC)/Ridehailing Services: Evaluating Net Vehicle Miles Traveled and Greenhouse Gas Emissions Impacts within San Francisco, Los Angeles, and Washington, D.C. Using Survey and Activity Data

Abstract

Transportation Network Companies (TNCs) play a prominent role in mobility within cities across the globe. However, their activity has impacts on vehicle miles traveled (VMT) and greenhouse gas (GHG) emissions. This study quantifies the change in personal vehicle ownership and total miles driven by TNC drivers in three metropolitan areas: San Francisco, CA; Los Angeles, CA; and Washington, D.C. The data sources for this analysis comprise two surveys, one for TNC passengers (N = 8630) and one for TNC drivers (N = 5034), in addition to data provided by the TNC operators Uber and Lyft. The passenger survey was deployed within the three metropolitan areas in July and August 2016, while the driver survey was deployed from October to November 2016. The TNC operator data corresponded with these time frames and informed the distance driven by vehicles, passenger frequency of use, and fleet level fuel economies. The data from these sources were analyzed to estimate the impact of TNCs on travel behavior, personal vehicle ownership and associated VMT changes, as well as the VMT of TNCs, including app-off driving. These impacts were scaled to the population level and collectively evaluated to determine the net impacts of TNCs on VMT and GHG emissions using fuel economy factors. The results showed that the presence of TNCs led to a net increase of 234 and 242 miles per passenger per year, respectively, in Los Angeles and San Francisco, while yielding a net decrease of 83 miles per passenger per year in Washington, D.C. A sensitivity analysis evaluating net VMT change resulting from vehicle activity and key behavioral impacts revealed the conditions under which TNCs can contribute to transportation sustainability goals.

published journal article

Peaked Too Soon?: Analyzing the Shifting Patterns of P.M. Peak Period Travel in Southern California

Abstract

Daily vehicle travel collapsed with the onset of the COVID-19 pandemic in early 2020 but largely bounced back by late 2021. The pandemic caused dramatic changes to working, schooling, shopping, and leisure activities, and to the travel associated with them. Several of these changes have, so far, proven enduring. So, while overall vehicle travel had largely returned to pre-pandemic levels by late 2021, the underlying drivers of this travel have likely changed.

This research examines one element of this issue by analyzing whether patterns of daily trip-making shifted temporally between the fall of 2019 and 2021 in the Greater Los Angeles megaregion. The research team used location-based service data to examine vehicle trip originations for each hour of the day at the U.S. census block group level in October 2019 and October 2021. The team observed notable shifts in the timing of post-pandemic PM peak travel, so the researchers examined changes in the ratio of mid-week trips originating in the early afternoon (12–3:59 PM) and the late afternoon/early evening (4–7:59 PM).

The research paper includes a clear shift in the temporal distribution of PM trip-making, with relatively more late PM peak period trip-making prior to the pandemic, and more early PM peak trip-making in 2021. The peak afternoon/evening trip-making hour shifted from 5–5:59 PM to 3–3:59 PM. The researchers also found that afternoon/evening trip-making each year is largely explained by three workplace-area/school-area factors: (1) the number of schoolchildren in a block group (earlier); (2) block groups with large shares of potential remote workers (earlier), and (3) block groups with large shares of low-wage jobs and workers of color (later, except for Black workers in 2021). The team found the earlier shift in PM peak travel between pre- and late-pandemic periods to be explained most by (1) higher shares of potential remote workers and (2) higher shares of low-wage jobs and workers of color. These findings suggest that the rise of working from home has likely led to a shift in PM peak travel earlier in the afternoon when school chauffeuring trips are most common. This is especially true for low-income workers and workers of color.

research report

Estimating Residential Electric Vehicle Electricity Use

Abstract

The widespread adoption of electric vehicles is a centerpiece of California’s strategy to reach net-zero carbon emissions, but it is not fully known how and where electric vehicles are being used, and how and where they are being charged. This report provides the first at-scale estimate of electric vehicle home charging. Previous estimates were based on conflicting surveys or extrapolated from a small, unrepresentative sample of households with dedicated electric vehicle meters. The research team combined billions of hourly electricity meter measurements with address-level electric vehicle registration records from California households, including roughly 40,000 EV owners. The average electric vehicle increases the overall household load by 2.9 kilowatt-hours per day, well under half the amount assumed by state regulators. Results imply that electric vehicles travel less than expected on electric power, raising questions about transportation electrification for climate policy.

published journal article

Impact of Sensing Errors on Headway Design: From α-Fair Group Safety to Traffic Throughput

Publication Date

August 1, 2024

Author(s)

Junshan Zhang, Jiaqi Ma, Wei Shao, Zejun Fan, Chia-Ju Chen, Zhaofeng Zhang

Abstract

Headway, namely the distance between vehicles, is a key design factor for ensuring the safe operation of autonomous driving systems. There have been studies on headway optimization based on the speeds of leading and trailing vehicles, assuming perfect sensing capabilities. In practical scenarios, however, sensing errors are inevitable, calling for a more robust headway design to mitigate the risk of collision. Undoubtedly, augmenting the safety distance would reduce traffic throughput, highlighting the need for headway design to incorporate both sensing errors and risk tolerance models. In addition, prioritizing group safety over individual safety is often deemed unacceptable because no driver should sacrifice their safety for the safety of others. This study proposes a multi-objective optimization framework that examines the impact of sensing errors on both traffic throughput and the fairness of safety among vehicles. The proposed framework provides a solution to determine the Pareto frontier for traffic throughput and vehicle safety. ComDrive, a communication-based autonomous driving simulation platform, is developed to validate the proposed approach. Extensive experiments demonstrate that the proposed approach outperforms existing baselines.

other

Working Paper: Low Energy: Estimating Electric Vehicle Electricity Use

Abstract

This white paper covers new research providing the first at-scale estimate of electric vehicle home charging. Previous estimates are either based on surveys that reach conflicting conclusions or are extrapolated from a small, unrepresentative sample of households with dedicated electric vehicle meters. The research team combines billions of hourly electricity meter measurements with address-level electric vehicle registration records from California households. The average electric vehicle increases the overall household load by 2.9 kilowatt-hours per day, less than half the amount assumed by state regulators. The results imply that electric vehicles travel 5,300 miles per year, under half of the US fleet average.

policy brief

Transitioning to Electric Drayage Trucks May Help Avoid Adding New Freeway Lanes to Freight Corridors in Southern California

Abstract

Much has been written about the potential benefits of electric and connected vehicles. However, one important, but often overlooked, implication of electrifying trucks is that if they are powerful enough (such as the Tesla semi), they can eliminate the moving bottleneck or queuing effect created by slow-moving conventional heavy-duty trucks because electric trucks are much more responsive compared to conventional diesel trucks because electric motors provide maximum torque from a standstill. This could substantially increase road capacity in areas with high commercial truck traffic, especially around major ports or logistics complexes, thus alleviating the need to add new lanes to local freeways.

policy brief

Challenges and Opportunities Facing App-Based Gig Drivers Extend Beyond Driver Pay

Publication Date

August 1, 2024

Author(s)

Susan Shaheen, Jaquelyn Broader, "Brooke (Schmidt) Wolfe ", Adam Cohen

Abstract

Throughout the U.S., app-based gig drivers provide valuable services for courier network services (CNS) like Instacart, Uber Eats, and DoorDash, and transportation network companies (TNCs) such as Uber and Lyft. In California, gig labor classification is governed, among other things, by Assembly Bill 5 (AB 5) and Proposition 22 (Prop 22). AB 5 established the ABC Test for worker classification in California labor law, which resulted in most app-based drivers being classified as employees. However, Prop 22 exempted gig drivers from the ABC Test. As a result, most CNS and TNC drivers in California are classified as independent contractors. This brief provides insights to evolving CNS and TNC labor policy, featuring key findings from research involving interviews with experts (n=8) across the U.S. representing labor, academia, and regulators between June 2022 and February 2024 and an examination of how other cities and states are approaching this issue.

policy brief

Electric Vehicles May Be Using Less Electricity than Assumed by California Regulators and Utilities

Abstract

California is home to approximately half of electric vehicles (EVs) in the United States, yet policymakers attempting to guide transportation electrification lack rigorous estimates of how much electricity these vehicles are using because the majority of charging occurs at home, where it is difficult to distinguish from other household uses recorded on the electricity meter. This brief highlights research findings from developing the first at-scale estimate of EV home charging. Previous estimates were based on conflicting surveys or extrapolated from a small, unrepresentative sample of households with dedicated EV meters. Research highlighted in this brief combined billions of hourly electricity meter measurements with address-level EV registration records from California households, including roughly 40,000 EV owners.

published journal article

A Bus Home: Homelessness in U.S. Transit Environments

Abstract

More than 500,000 people experience homelessness in the United States, and many turn to transit vehicles, stops, and stations for shelter. This article presents findings from a survey of 115 U.S. and Canadian transit operators that inquired about homelessness on transit systems. The research found that homelessness is broadly present, though more concentrated on central hotspots, and worsened during the pandemic. In response, transit agencies often initiate a combination of punitive and outreach strategies.

policy brief

Integrating Microtransit Service with Traditional Fixed-Route Transit Costs More but Greatly Improves Access to Jobs

Publication Date

August 1, 2024

Author(s)

Michael Hyland, Susan Pike, Yan Xing, Siwei Hu, Jacob Berkel, Ritun Saha, Geoffrey Vander Veen, Dingtong Yang

Abstract

Microtransit is a mobility service that dynamically routes and schedules 6- to 20-seat vehicles to serve passengers within a defined region. Microtransit services are similar to ride-pooling services operated by Transportation Network Companies (e.g., Uber, Lyft); however, microtransit services are owned by cities or transit agencies. Integrating micro-transit services with traditional fixed-route transit (FRT) has been touted as a means to attract more riders to public transit generally,1 improve mobility and sustainable transportation outcomes (e.g., reduce greenhouse gasses and local pollutants), and provide better accessibility to disadvantaged travelers. However, few academic studies have evaluated these claims. To address this gap, ITS researchers surveyed California transit agencies that currently operate or recently operated microtransit services to obtain insights into integration challenges. The research team also developed an agent- and simulation-based modeling framework to evaluate alternative system designs for integrating FRT and microtransit in downtown San Diego and Lemon Grove, a suburban area in San Diego County.