research report

Summary of Interviews with California Metropolitan Planning Organizations About Senate Bill 375 and the Sustainable Communities Strategies

Publication Date

October 1, 2020

Author(s)

Clay Kerchof, Jazmin Amini, Laurel Matthews, Matthew Thompson

Abstract

In July and August of 2020, a research team of four graduate students from UC Berkeley’s Department of City and Regional Planning conducted interviews with directors and other high-level staff representing several of California’s metropolitan planning organizations (MPOs) to gather information on the achievements and challenges associated with the implementation of SB 375. Key takeaways from this effort include: 1) MPOs are not requesting additional authorities or oversight of local land use decisions; 2) MPOs use funding as “carrots” to incentivize local plans to align with regional goals, and many MPOs desire more discretionary funding and priority-specific funding; 3) some MPOs want to focus on greenhouse gas (GHG) strategies, such as telecommuting, active transportation, and technological advancement, in order to meet their greenhouse gas emission targets; 4) MPOs want the State to develop policies in ways that acknowledge distinct planning nuances and economic and geographic contexts across regions; 5) the process of developing and submitting regional plans to the State for review is staff-intensive and technically complex for MPOs, which takes away from the agencies’ capacity to focus on implementation and other work; 6) Senate Bill 375 has empowered MPOs to consider more deeply the relationship between land use and transportation; and 7) as a result of Senate Bill 375, there is now increased communication and engagement between the MPO and a broader set of stakeholders

presentation

Bridging Transport Researchers Online Conference

policy brief

Residential Parking Supply Has a Stronger Influence on Household Travel Choices Relative to a Neighborhood’s Walkability and Access to Transit

Abstract

A large volume of research suggests that neighborhood attributes such as public transportation access, residential density, and walkability can have important impacts on people’s travel, carbon footprint, and employment opportunities. More often than not, however, the research conducted on this topic is subject to “self-selection bias.” For example, people who prefer to walk and ride transit are likely to move to neighborhoods that support these choices,while those who prefer to drive instead move to places with nearby highway access and ample parking. To overcome these biases, a research team at the University of California, Santa Cruz surveyed successful applicants to San Francisco’s affordable housing lotteries about their transportation choices and employment. In San Francisco, nearly all new housing developments with ten or more residential units must provide affordable housing units at below-market rates. The units are normally allocated to qualifying households through city-run lotteries. The chances of winning a lottery are small — less than two percent — and so, not surprisingly, households are not selective about which lotteries they enter. Analysis of lottery application data shows that applicants do not appear to enter any particular lottery based on where they would end up living, or if the residence has ample parking, or based onthe neighborhood’s walkability or transit accessibility.

research report

How the Built Environment Affects Car Ownership and Travel: Evidence from San Francisco Housing Lotteries

Abstract

Credibly identifying how the built environment shapes behavior is empirically challenging because people select residential locations based on differing constraints and preferences for site amenities. The study overcomes these research barriers by leveraging San Francisco’s affordable housing lotteries, which randomly allow specific households to move to specific residences. Using administrative data, the research team demonstrates that lottery-winning households’ baseline preferences are uncorrelated with their allotted residential features such as public transportation accessibility, parking availability, and bicycle infrastructure—meaning that neighborhood attributes and a building’s parking supply are effectively assigned at random. Surveying the households, the team finds that these attributes significantly affect transportation mode choices. Most notably, the research paper shows that essentially random variation in on-site parking availability greatly changes households’ car ownership decisions and driving frequency, with substitution away from public transit. In contrast, the research team finds that parking availability does not affect employment or job mobility. Overall, the evidence from the study robustly supports that local features of the built environment are important determinants of transportation behavior.

presentation

COVID Response: Lessons for Climate Action, Capital Region Climate Readiness Collaborative Quarterly Meeting

presentation

COVID-19 Research Virtual Town Hall

published journal article

Induced Vehicle Travel in the Environmental Review Process

Abstract

If we expand roadway capacity, more drivers will come, or so economic theory suggests and a substantial body of empirical research now shows. Despite strong evidence, the “induced travel” effect is often ignored, underestimated, or misestimated in the planning process, particularly in the assessment of the environmental impacts of roadway capacity expansions. Underestimating induced travel will generally lead to an overestimation of the traffic congestion relief benefits a highway expansion project might generate, along with an underestimation of its environmental impacts. A major reason that induced travel tends to be underplayed in environmental analyses is that travel demand models do not typically include all of the feedback loops necessary to accurately predict the induced travel effect. We developed an online tool, based on elasticities reported in the literature, to facilitate the estimation of the induced vehicle travel impacts of roadway capacity expansion projects in California, with potential future expansion to other geographies. We describe the tool, apply it to five case study highway capacity expansion projects, and then compare the results with the induced travel estimates reported in the environmental impact analyses for those projects. Our results suggest that environmental analyses frequently fail to fully capture the induced vehicle travel effects of highway capacity expansion projects.

policy brief

Defining Sensitive Communities Under SB 50

Abstract

In this brief, we analyze the coverage of the definition of “sensitive communities” that was included in the March 2019 revisions to theSB 50 bill language – we call this the “SB 50 Sensitive Communities” definition. We also present analysis of two alternative metrics –California SB 535’s definition of “Disadvantaged Communities” and the U.S. Department of Housing and Urban Development’s “Racially/Ethnically Concentrated Areas of Poverty” (R/ECAPs) –as comparison points. We present these comparisons as a way to discuss how different definitions influence which places would bedesignated as sensitive communities, rather than to recommend one definition over another. Developing an empirical metric to identify sensitive communities is complicated, as there is no one factor that perfectly measures vulnerability to displacement and marginalization, especially when one considers the diversity of places in California. This brief is thus designed to provide stakeholders with information about the currently proposed definition, as well as to highlight questions related to the provision’s implementation. The brief is accompanied by an interactive map,which allows stakeholders to see how the different definitions play out in their own communities.