research report

Professional Drivers: Automobile Debt and Financial Support During the COVID-19 Pandemic

Abstract

This report synthesizes three primary data sources—credit data, unemployment claims data, and small business loan and grant data—to explore the financial conditions of those who drive for a living before and during the COVID-19 pandemic in California. Automobile debt was high among groups likely to contain professional drivers. The occupational categories in which many drivers fall had high absolute and relative levels of automobile debt compared to other workers. After the onset of the pandemic, unemployment rose dramatically in the transportation industry and in transportation occupations, peaking at rates higher than the national average. However, state unemployment claims data, among transportation employee claimants only, show less of a spike. Contractor drivers lived in areas with more Pandemic Unemployment Assistance claims, a special program for self-employed workers like gig drivers. Finally, contractor drivers received unprecedented but uneven federal small business loans and grants. Drivers in many areas, however, did not receive much or any of these funds, though those areas that did tend to have more residents of color. Assessing the full effect of the pandemic on professional drivers’ debt and finances will require additional and better data, particularly workforce data from gig economy firms that contract with drivers.

research report

Travel Behavior Impacts of Transportation Demand Management Policies: May is Bike Month in Sacramento, California

Abstract

Active modes of transportation like bicycling and walking are extremely beneficial to society, including helping to reduce the amount of travel people may make by car (i.e., vehicle miles traveled) and in turn reducing congestion and transportation-related greenhouse gas emissions and air pollutants. Bicycling and walking also have direct and positive health impacts. Several steps have been taken to promote active transportation in cities and regions, including awareness campaigns, transportation demand management policies, building new bicycling infrastructure, and the launch of bike-sharing programs. However, it is often unclear how much impact a specific strategy can have on actual rates of bicycling and walking in a community or region. UC Davis assisted the Sacramento Council of Governments (SACOG) in evaluating the impact of the agency’s “May is Bike Month” campaign. The purpose of the campaign is to motivate residents working and/or living in the region to start using (or increase the use of) bicycles as a mode of transportation. SACOG conducted a survey as part of the 2018 “May is Bike Month” campaign, which collected self-reported information from participants on the frequency of bicycling before and after the campaign, perceived barriers to bicycling, motivations for bicycling, travel habits, household and individual sociodemographic, and place of residence. UC Davis analyzed the survey data to better understand the role of land use characteristics and transit accessibility in bicycling rates. This information will be used to understand the variables that affect individuals’ decisions to increase, decrease, or not change bicycling levels during and after the “May is Bike Month” campaign. This project helps SACOG identify the groups which are most and least receptive to the campaign, and the ways these groups of individuals have reacted (in terms of changing their bicycling behavior) in response to the campaign. SACOG can use this information to make strategic changes to its annual “May is Bike Month” campaign in order to optimize the campaign’s effectiveness in future years, and/or coordinate the campaign with additional initiatives to promote bicycling in the Sacramento region.

research report

An Assessment of how State and Regional Transportation Agencies Advance Equity in Transportation Plans, Processes, and Implementation

Abstract

To provide California with recommendations for how to advance transportation equity, this study examines how state departments of transportation and metropolitan planning organizations (MPOs) are implementing equity-based planning. The research team conducted a content analysis on the long-range transportation plans (LRTPs) and active transportation plans of six state departments of transportation, and the long-range transportation plans and federal transportation improvement documents of six California metropolitan planning organizations to identify equity practices and performance measures in those plans. They also interviewed representatives from five state departments of transportation to identify methods the organizations are using to advance equity. Every organization acknowledged the importance of considering equity, but the nature and degree to which equity practices were implemented varied considerably. Outreach and engagement were the most common equity practices. Many departments of transportation had developed or were developing performance metrics for equity, but several lacked appropriate disaggregate data to identify effects on people of color or other marginalized population groups. Few organizations explicitly identified how equity was guiding decision-making in their plans. Innovative practices included establishing listening sessions to define transportation equity, centering public health in decision-making, developing creative ways to direct funding to the neediest communities, and institutionalizing equity through leadership positions or bottom-up decision-making within functional areas.

conference paper

A Longitudinal Analysis of the Heterogeneous Changes in Travel Behaviors in Response to the COVID-19 Pandemic in the United States

Abstract

The COVID-19 pandemic has caused a huge disruption worldwide with direct and indirect effects on travel behavior. In response to extensive community spread and potential risk of infection, during the early stage of the pandemic, many state and local governments implemented non-pharmaceutical interventions that restricted non-essential travel for residents. This study evaluates the impacts of the pandemic on mobility by analyzing micro panel data (N = 1,274) collected in the United States via online surveys in two periods, before and during the early phase of the pandemic. The panel makes it possible to observe initial trends in travel behavior change, adoption of online shopping, active travel, and use of shared mobility services. This analysis intends to document a high-level overview of the initial impacts to spur future research to dive deeper into these topics. With the analysis of the panel data, substantial shifts are found from physical commutes to teleworking, more adoption of e-shopping and home delivery services, more frequent trips by walking and biking for leisure purposes, and changes in ride-hailing use with substantial variations across socioeconomic groups. The social and environmental implications of these findings are discussed and suggestions for effective policy and directions for future research are made in the conclusion.

published journal article

Factors Influencing Alternative Fuel Adoption Decisions in Heavy-Duty Vehicle Fleets

Abstract

Understanding heavy-duty vehicle (HDV) fleet operator behavior with respect to the adoption of alternative fuel vehicles (AFVs) is critically important for accelerating the diffusion of these technologies, and for achieving societal benefits through reduced emissions and improved public health. However, fleet operator perspectives have thus far received limited attention, leaving a key knowledge gap. This study aims to fill this gap by exploring HDV fleet operator decisions about alternative fuel adoption using both existing literature and new empirical data. To this end, we first develop an initial theoretical framework of AFV fleet adoption behavior in organizations based on existing theories and literature. We then empirically improve the framework by investigating 20 organizations in California via in-depth qualitative interviews and project reports. A total of 29 adoptions and 42 non-adoption cases were probed across various alternative fuel technologies, including natural gas, propane, electricity, hydrogen, biodiesel, and renewable diesel options. Content analysis of the qualitative data yielded 38 motivators or barriers related to AFV adoption, encompassing perceived technological characteristics, organization characteristics, and external environmental influences. The study results contribute theoretically and empirically to a better understanding of the demand-side aspects of AFV adoption by HDV fleet operators, particularly in California and in the other US states that follow California’s environmental policies.

research report

Getting Back on Track: Policy Solutions to Improve California Rail Transit Projects

Abstract

This report combines a cost baseline analysis with five case studies of California rail projects (four local transit projects and California’s High-Speed Rail project) to identify the causes of high project costs, slow deployment, and overruns/delays beyond initial project estimates. Baselines were developed from an analysis of two prominent transit cost databases, and case studies were developed through a review of the historical record and expert interviews. Key findings include a lack of transit agency experience and expertise; insufficient cross-agency coordination; costly stakeholder outreach; inefficient procurement and contracting methods; and project overdesign. The report proposes a set of recommendations for transit agencies and state policymakers to overcome these challenges, including the creation of regional project delivery consultant teams, legal authorization and use of alternative contracting methods, and new agency coordination and communication structures.

policy brief

By Transit, By-Right: Impacts of Housing Development Approval Processes on Transit-Supportive Density

Abstract

Transit ridership in Los Angeles County has fallen
consistently over the past decade despite major investments
in public transportation. The reasons for this outcome vary,
but one likely culprit is the county’s built environment,
which is generally auto-oriented and low-density. Allowing
more, higher-density housing to be built near transit could
help increase transit ridership, but this solution faces two
obstacles. The first and largest obstacle is widespread
restrictions on multifamily development. The second, and
the focus of this brief, is the housing development process:
Even if new multifamily housing is allowed on a site, a
complicated, lengthy or unpredictable process could still
discourage its production.
Development processes are often categorized as “by-right,”
meaning developments are approved or not based on
whether they meet certain objective requirements, or as
“discretionary” — negotiated project-by-project in a back-
and-forth between city officials and builders.
Compared to discretionary processes, by-right processes
should in theory reduce the cost, delay, and uncertainty
associated with securing approvals, allowing homes to be
delivered more quickly and less expensively. It has been
difficult to test this hypothesis, however, because by-right
approvals are rare in cities where housing is in high demand
and are usually reserved for smaller projects.
The Transit Oriented Communities (TOC) density bonus
program, implemented in Los Angeles in 2017, changed the
city’s development process for certain projects, creating
a by-right approval pathway for many projects that would
have previously been discretionary, and streamlining
the entitlement process for many others that remained
discretionary. We take advantage of this program to measure
the impact of by-right and streamlined processes on project
approval times, with shorter times serving as a proxy for less
costly and potentially less risky housing development. For
each project, we determine the entitlement pathway, total
approval time, size, subsidy status, parking provided, certain
characteristics of the parcel, neighborhood characteristics
such as median household income and distance from the
central business district, and its location relative to the
TOC program boundaries. Using a multivariate analysis, we
compare approval times for each category, with and without
controls for many project and neighborhood characteristics.

research report

Benchmarking “Smart City” Technology Adoption in California: An Innovative Web Platform for Exploring New Data and Tracking Adoption

Abstract

In recent years, “smart city” technologies have emerged that allow cities, counties, and other agencies to manage their infrastructure assets more effectively, make their services more accessible to the public, and allow citizens to interface with new web-and mobile-based alternative service providers. This project developed an innovative user-friendly web interface for local and state policymakers that tracks and displays information on the adoption of such technologies in California across the policing, transportation, and water and wastewater sectors for a comprehensive set of local service providers: connectedgov.berkeley.edu. Contrary to conventional smart city indices, the platform allows users to view rates of adoption in maps that attribute adoption to the local public agencies or service providers actually procuring or regulating the technologies in question. Users can construct indices or view technologies one by one. Users can also explore the relationship between technology adoption and local service area conditions and demographics, or download the raw data and scripts used to collect it. This report illustrates the utility of the data that was collected, and the analytics one can perform using the web interface through an analysis of the rollout of three technologies in the transportation sector: electric vehicle (EV) chargers, transportation network company (TNC) service areas, and micro-mobility services across California.

policy brief

Where are Private “Smart City” Transportation Technologies Concentrated in California?

Abstract

In recent years, “smart city” information and communication technologies have proliferated. For local government agencies, procuring and introducing these technologies offers the possibility to manage infrastructure assets more effectively, plan for preventive maintenance, and disseminate schedules and information about transit and other services. Many of these technologies are deployed by private firms in the context of local regulations and government-sponsored incentives. In the transportation sector, examples of “smart city” technology services provided by private firms include: electric vehicle (EV) chargers, micro-mobility (e.g., scooter and bike rentals), and transportation network company (TNC) services, such as Uber and Lyft. To understand variation in how private sector smart city transportation technologies are deployed across California, researchers at UC Berkeley webscraped and cross verified data on EV chargers, Uber services, and micro-mobility. EV charger data was obtained from the Department of Energy, and Uber and micromobility access data came from vendor websites.

research report

Brace for Impact: The Environmental and Economic Effects of Shifting Passenger Travel from Airplanes to High-Speed Rail

Abstract

This research synthesis surveys recent literature from 2011 to 2020 on the environmental and economic effects of high-speed rail (HSR) projects from across the globe, with relevant lessons for implementation of the California High-Speed Rail (CAHSR) project. Recent literature shows that—under the right conditions—HSR can lead to both environmental and economic gains across a variety of metrics. To maximize environmental gains, HSR ridership needs to be high, energy propulsion must be powered largely by renewables, and displaced demand for intrastate air travel must not be replaced by longer-haul flights. For there to be economic gains, cities connected by HSR must play complementary roles, rather than competitive ones, within the economy. Otherwise, economic benefits will be consolidated in core cities along HSR routes at the expense of intermediate cities, and efficiencies from agglomeration may lead to an overall decline in employment and economic value added. This synthesis closes with some recommendations for future research questions that can inform the development or refinement of policies that support the successful implementation of CAHSR.