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.

research report

Moving Beyond the Colors: The Full Life-Cycle Emissions of Hydrogen Production Pathways for California

Abstract

This report examines the latest carbon intensity (CI) estimates for hydrogen production processes, adding important nuances to the general “colors of hydrogen” scheme that has been used in recent years. CI values for hydrogen production can vary widely both within and across hydrogen production pathways. The lowest CI pathways use biomass or biogas as a feedstock, and solar or wind power. This report also analyses jobs creation from new hydrogen production facilities and shows that these benefits can be significant for large-scale facilities based on either future biomass/biogasto- hydrogen or solar-hydrogen production technologies. Recommendations include setting stricter goals for the state’s Low Carbon Fuel Standard (LCFS) program to continue to reduce the carbon footprint of California’s transportation fuels.

policy brief

Did COVID-19 Fundamentally Reshape Telecommuting in California?

Abstract

Health concerns and government restrictions during the COVID-19 pandemic caused a sharp increase in telecommuting (i.e., doing paid work at home or possibly an alternate worksite). In addition to reducing vehicle miles traveled (VMT), decreasing energy use, and lowering emissions of air pollutants and greenhouse gases (GHG), telecommuting may offer numerous other co-benefits, including increasing the worker pool, decreasing time and costs associated with travel, improving work-life balance, and decreasing stress. It may also stimulate greater use of non-motorized and active modes of travel (e.g., walking, biking, taking transit). However, telecommuting (especially during the pandemic) may also affect remote workers’ opportunities for promotion and ties with colleagues, health, work-life balance for families with children (childcare and schools did not operate normally during the pandemic), and even work productivity. It may also increase commuting length because telecommuters tend to live in more suburban areas, usually associated with fewer transit options and a higher likelihood of car use. While a large body of literature on telecommuting existed before COVID-191, this research looked at how the frequency of telecommuting changed in California during the pandemic, and how it may evolve. Whereas most previous research relied on non-random samples, the dataset used for this research was collected at the end of May 2021 by Ipsos, which randomly sampled Californian members of KnowledgePanel©, is the largest probability-based online panel in the nation, so the results are generalizable to California’s population. Quantifying changes in telecommuting is important for updating sustainable community strategies created by Metropolitan Transportation Organizations and gauging telecommuting’s likely contribution to meeting California’s GHG reduction targets. Moreover, analyzing telecommuting frequency for different socio-economic groups and occupations should help policymakers understand the long-term impacts of the pandemic on different segments of the labor market.

policy brief

Shifting Future Electric Vehicle Trips to e-Bikes Could Help Reduce Electricity Demand at Critical Times in California

Abstract

California aims to replace gasoline and diesel light-duty vehicles (LDVs) with zero-emission LDVs, many of which will be plug-in battery electric vehicles (BEVs) and achieve 100% zero-carbon electricity by 2045. Large-scale plug-in BEV deployment will substantially increase electricity demand, particularly during peak hours (4:00pm to 9:00pm) when renewable energy is in short supply. Popular strategies for charging BEVs with electricity produced from renewable energy include smart charging and creating more energy storage that soaks up renewable energy during the day and dispenses it later when needed. These strategies, however, may not be enough. Consumer acceptance limits smart charging, and increased energy storage capacity is expensive. Another potential strategy involves lowering the overall demand for electricity by shifting BEV trips to electric-powered bicycles (e-bikes). While e-bikes cannot entirely replace BEV trips, they are ideal for short trips (five miles or less). Currently, 64% of US vehicle trips fall into the short trip category. Using synthetic travel pattern data from the San Diego region, we quantified the electric grid cost savings of shifting future BEV trips to e-bikes. For our analysis, we determined the passenger LDV trips that e-bikes could potentially replace. To provide an upper bound on replaceable trips, we considered trips that met the following criteria: LDV trips within home-based tours (a sequence of trips starting and ending at the home location) made by no more than two household members (between 16 and 70 years old), with less than five stops, under four hours in travel duration, and with individual trip distances up to seven miles long. We also created three scenarios that differ in terms of the tour purposes:
• Scenario 1: All purposes (e.g., work, recreation, eating out, etc.) except escort (i.e., transporting someone else to their activity) and shopping tours
• Scenario 2: All purposes except escort tours
• Scenario 3: All purposes

published journal article

Large-scale Public Charging Demand Prediction with a Scenario- and Activity-based Approach

Abstract

Transportation system electrification is expected to bring millions of electric vehicles (EVs) on road within decades. Accurately predicting the charging demand is necessary to accommodate the surge in EV deployment. This paper presents a novel modeling framework to predict the public charging demand profile derived from people’s travel trajectories, with the consideration of the demand and supply stochasticity of transportation systems and the charging behavior heterogeneity of EV users. The vehicle charging decision-making process is explicitly modeled, and the charging need of each EV user is estimated associated with their travel trajectories. The methodology enables charging demand prediction with a high spatial–temporal resolution for transportation system electrification planning. A case study was conducted in Los Angeles County to predict the demand for public charging facilities in 2035 and perform corresponding spatial–temporal analysis of EV public charging under various scenarios of future electrification levels and network conditions.

research report

Evaluating the Safety Effects of Adopting a Stop-as-Yield Law for Cyclists in California

Abstract

This report investigates how stop-as-yield laws can positively or negatively affect safety and provides insights and guidelines for California policymakers and safety practitioners if such a law passes in California. The research team collected cyclist data from five states that enacted stop-as-yield laws—Idaho, Arkansas, Oregon, Washington and Delaware—and data from some of their contiguous states without such legislation. Using an observational before-after study with comparison groups at the state level, the research examined changes in cyclist crash frequencies after the laws were implemented. Additionally, a random-effects negative binomial regression model with panel data was employed to estimate a law’s overall impact. The results did not indicate a significant change in cyclist crashes among the states with stop-as-yield laws.