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

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

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

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.

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.

published journal article

What travel modes do shared e-scooters displace? A review of recent research findings

Abstract

The impacts of shared e-scooters on modal shifts have received increased attention in recent years. This study provides a review of the literature for modal shifts in the US and other countries. The profile of shared e-scooter users is rather similar to that of station-based and free-floating bikeshare programs. The empirical data reveal that people use shared e-scooters in place of cars at substantial rates, especially in many US cities, which suggests that in many locations shared e-scooters may be a good strategy for reducing car dependence. The use of shared e-scooters as a complement to public transit varies highly by city, highlighting how technology, regulations, and incentives may be needed in some cities to ensure modal integration and harvest the potential societal benefits from the introduction of shared e-scooters.

published journal article

An L.A. story: The impact of housing costs on commuting

Abstract

The empirical impact of housing costs on commuting is still relatively poorly understood. This impact is especially salient in California given the state’s notoriously high housing costs, which have forced many lower- and middle-class households to move inland in search of affordable housing at the cost of longer commutes. To investigate this linkage, we relied on Generalized Structural Equation Modeling and analyzed 2012 CHTS data for Los Angeles County – the most populous county in the U.S. Our model, which jointly explains commuting distance and time, accounts for residential self-selection and car use endogeneity, while controlling for household characteristics and land use around residences and workplaces. We find that households who can afford more expensive neighborhoods have shorter commute distances (−2.3% and − 3.1% per additional $100 k to median home values around workplaces and residences respectively). Job density, distance to the CBD, and land-use diversity around workplaces have a relatively greater impact on commuting than the corresponding variables around commuters’ residences. Compared to non-Hispanics, Hispanic workers commute longer distances (+3.5%), and so do African American (+5.1%) and Asian (+2.0%) workers compared to Caucasians, while college-educated workers have shorter (−2.6% to −3.6%) commutes. Furthermore, commuters in the top income brackets tend to have faster commutes than lower-income workers. Finally, women’s commutes are ~41% shorter than men’s, possibly because they are balancing work with domestic responsibilities. A better understanding of the determinants of commuting is critical to inform housing and transportation policy, improve the health of commuters, reduce air pollution, and achieve climate goals.

published journal article

Decoding climate adaptation governance: A sociotechnical perspective of U.S. airports

Abstract

Inadequate governance is considered a major barrier to implementing policy, particularly those concerning global and complex challenges such as climate change adaptation. Literature in adaptation policy points to the lack of methods that monitor and assess how decision-making takes place and by whom. Based on a review of over 200 policy documents, this article benchmarks for the first time, the current airport climate adaptation regime in the United States and applies a sociotechnical system framework to scrutinize institutional capacity to address climate change impacts. An innovative policy review system is designed to decode how airport policies create conditions to use climate data as decision-relevant information and produce adaptation actions. Potential climate-cognizant policies are identified and characterized based on their target, timescale, and governance mode. Review results show that the assumption of climate stationarity is widespread. However, there is high potential for technical and, especially, organizational airport policies to incorporate climate science and adaptation pathways. Results also uncover governance barriers related to institutional path-dependence that include: (1) conflicting rationales between adaptation and reliability values, and (2) overpowering technical policies and market governance. These barriers perpetuate scale mismatch between airport policies and the expected impacts of climate change. Finally, we highlight the latent capacity for collaborative governance to advance adaptation regimes in airports and other multiscalar complex infrastructure systems. Our proposed methods and review results identify pathways to enhance institutional capacity for designing and operationalizing transformative adaptation policies.

policy brief

How Can California Transit Agencies Build Rail Cheaper and Faster?

Abstract

Increasing Californians’ access to and use of public transit is a key component of the state’s strategy to reduce greenhouse gas emissions (GHG) from transportation, which is the single largest source of statewide emissions. To achieve state targets of 40 percent GHG emission reduction below 1990 levels by 2030 and carbon neutrality by 2045, California leaders will need to support a range of affordable, efficient, and riderfriendly transit options—including local and regional rail networks—to replace personal vehicle use. However, rail transit projects in California and the U.S. are costly and slow to build. Most initial project budget estimates are expensive to begin with, and they often increase significantly after delays and cost overruns occur. This high-cost, slowdeployment pattern of rail transit investment risks depleting public funds available for new transit projects and the public trust necessary to ensure successful projects. With climate and urban design and livability goals demanding greater and more efficient public transit investment, what can state and local leaders do to improve project delivery in terms of cost and time? Researchers at the Center for Law, Energy and the Environment at UC Berkeley School of Law recently combined a cost baseline analysis with five California project case studies to identify the key sources of poor project delivery performance and strategies to overcome them.

policy brief

Electric Vehicle Carsharing is Helping to Fill Transit Gaps and Improve Mobility in Rural California

Abstract

In rural areas, cost-effective transit service is challenging to provide due to greater travel distances, lower population densities, and longer travel times than in cities. Access to a personal car is often essential to the quality of life for most residents, enabling them to readily access essential services. However, keeping one or two vehicles in reliable working order can be prohibitively expensive for low-income families. To address this issue, multiple organizations partnered to launch an electric vehicle (EV) carsharing pilot called Míocar in 2019. This non-profit service in the rural San Joaquin Valley of California differs from the dominant carsharing model of for-profit businesses serving affluent communities that already have high-quality transit. Míocar seeks to provide carsharing to price-sensitive populations with low transit access at a price point that is more affordable than owning a personal vehicle. The service currently has 27 EVs located at eight hubs throughout the San Joaquin Valley.