Identifying Solutions for Overcoming Barriers to Transit-Oriented Development

Status

Complete

Project Timeline

October 1, 2021 - December 31, 2022

Principal Investigator

Elisa Barbour

Project Team

Campus(es)

UC Davis

Project Summary

The California Air Resources Board recently concluded in a report to the state legislature on progress in achieving SB 375 goals that development patterns in the state since adoption of the law run counter to achieving its objectives. In this context, and given severe housing affordability problems, policymakers need to understand how and whether localities are developing effective strategies to support affordable TOD. Localities face persistent barriers in doing so including obtaining and balancing funding for transit, active transportation, and affordable housing; designing effective programs to gain public benefits from private development; assembling land parcels; attracting market interest in certain areas; and addressing public concerns about new development. This research project will build upon a recently completed two-year research project that investigated motivations, perceived obstacles, and policy-making patterns of California cities for promoting TOD as well as public transit and active transportation. Specifically, this project will examine more deeply the barriers to TOD that California cities experience, how they overcome them, and what support they need from state and regional agencies to do so. The research team will review public policy documents and conduct interviews with city planners and other stakeholders. In addition, the research team will investigate policy tools shown to be promising based on findings from previous research, including development of Specific Plans, California Environmental Quality Act (CEQA) streamlining through “tiering” from Specific Plans, density bonus programs that provide for “ministerial” project approvals, and transport-related land use strategies including reducing parking requirements and linking SB 743-required environmental review at the project level with impact fees and transportation demand management ordinances.

Stockton’s Crosstown Freeway, Urban Renewal, and Asian Americans: Systemic Causes and Impacts

Status

Complete

Project Timeline

October 1, 2021 - October 25, 2023

Principal Investigator

Project Team

Paul Ong, Jacob Wasserman, Christopher-Hung Do, Anne Yoon

Project Summary

Stockton underwent spatial restructuring in the decades after the Second World War, and state and local government contributed and responded to these changes by implementing connected freeway and urban renewal programs. Historical and contemporaneous xenophobia and racism placed Chinatown, Japantown, and Little Manila in their path, with these enclaves deemed blighted and subject to “slum clearance.” The choice of freeway route was racially biased. The neighborhood surrounding an unchosen route was predominantly white, whereas that of the chosen route was predominantly home to people of color. Freeway construction during the 1960s and 1970s directly displaced hundreds of people and housing units downtown—mainly people of color, particularly Asians. The communities most harmed were the Asian American enclaves, where the housing stock declined by about three quarters between 1960 and 1970. The losses were not only physical, as the freeway and redevelopment eviscerated once vibrant ethnic commercial hubs. Because of long-standing economic and political marginalization, Asian Americans were relatively powerless to prevent the destruction; nonetheless, they fought to build affordable housing for their people, protect and in some cases relocate cultural institutions, and support surviving ethnic businesses. In the long run, Stockton failed to revitalize its downtown, while destroying its cultural diversity.
This project explores the various facets and implications of this history through many lenses. The research team employs quantitative methodologies to investigate four questions: 1) whether the choice of freeway paths was racially disparate, 2) what were the number and the racial composition of the people and housing directly impacted (i.e., dislocated) by freeway construction, 3) what were the indirect impacts of freeway construction on housing units and housing costs over time, and 4) what were the associated losses from urban renewal. The team utilizes qualitative methods as well to examine the human impacts on Asian Americans residents of the area and their political response. The project contributes both academically and practically. It complements the existing literature by its focus on an often-understudied group, Asian Americans, and by making the systemic dynamics of racism central to the analyses. The findings can also help reform and improve professional practice within the transportation arena to ensure racial fairness and equity.

Investigating Travel Demand Heterogeneity During and After the Pandemic in the Northern California Megaregion: A Data-Driven Analysis of Origin-Destination Structural Patterns

Status

Complete

Project Timeline

October 1, 2021 - March 31, 2023

Principal Investigator

Project Team

Jaime Soza Parra, Junia Compostella, Ran Sun

Campus(es)

UC Davis

Project Summary

Over the past year, academic studies of COVID-19’s impact on the transportation sector have focused on preferences for and perceptions of different travel modes, changes in vehicle mileage, traffic congestion and pollutant emissions, public transportation operations and ridership, and equity considerations, among many others. Overall, some of the impacts of the pandemic are likely to be transitory whereas others might have longer-term consequences. In partnership with several planning agencies, the research team will construct short-range mobility scenarios for Northern California to help inform planning and policy-making processes. The project team will review the available literature on the impacts that the pandemic has had on different cities’ passenger mobility patterns (i.e., non-freight related travel), focusing on studies based on the analysis of both passively-collected data (e.g., location data from personal mobile devices and survey data (and their integration). The research team will use passively-collected data supplied by the Streetlight Data platform from various location-based services, and information from concurrent survey research being conducted by UC Davis researchers, to build a baseline and future multimodal mobility scenarios to explore the extent to which recent changes induced by the pandemic (e.g., increased telecommuting, remote shopping, mode shifts from public transit to cars, changes in vehicle ownership, changes in time of day of trips) might affect multimodal passenger travel (e.g., changes in vehicle mileage, trip patterns, transit ridership, and bicycling) in different geographic locations, at different times of day, and by multiple modes. Finally, the project team will draw insights and policy recommendations to help inform agencies’ investment and policy decisions.

Addressing the Impacts of Truck Idling and Searching for Parking on Environmental Justice Communities

Status

Complete

Project Timeline

January 1, 2022 - June 30, 2023

Principal Investigator

Project Team

Ivan Xiao, Carlos Otero, Daniel Rivera

Project Summary

Truck idling and searching for parking consume fuels and produce emissions that degrade air quality. In the U.S., more than 6 billion gallons of fuel at an estimated cost of $20 billion are wasted each year due to idling. An idling heavy‐duty diesel truck emits about 10 times more nitrogen oxides (NOx) than a passenger car, and truck idling emits more than 11 million tons of carbon dioxide and more than 180,000 tons of NOx per year, in addition to particulate matter and other air pollutants. Trucks usually idle near warehouses and distribution centers, and research has shown that these facilities are disproportionally located in disadvantaged communities. The California Air Resources Board (CARB) has been trying to address the negative consequences of community exposure to particulates from idling through various policies such as Airborne Toxic Control Measures. Moreover, emissions from idling or searching for parking are not the only problem; a recent study of disadvantaged communities in Southern California found that safety is also a critical factor. However, despite new regulations and technological improvements, the negative effects continue to occur, especially in disadvantaged communities. This research project addresses the issue of truck idling and searching for parking in disadvantaged communities in the Central Valley, specifically in Kern County, where the CARB has already identified the cities of Shafter, Arvin, and Lamont as environmental justice communities (as part of Assembly Bill 617 implementation). First, using publicly available information about parking and idling behavior from GeoTAB’s Intelligence Data tool, the team will conduct spatial analyses to identify truck parking and idling hotspots. This information will be enhanced with data from other public sources about the physical infrastructure, and socio‐demographic and economic conditions, to develop exploratory econometric models to identify the factors that contribute to idling time, or time and distance spent searching for parking. The team will use data from the San Joaquin Valley Air Pollution Control District’s Community Air Monitoring portal to determine whether higher emission levels are associated with locations with more idling or searching for parking. Using emission rates from the CARB’s Emission FACtor (EMFAC) model, the team will estimate the emissions from idling and searching for parking and quantify the vehicle mileage traveled in and around the hotspots. Second, the team will conduct fieldwork at the various locations (hotspots identified in AB 617 and other disadvantaged communities) to document actual truck parking/idling conditions to identify other factors that may affect this behavior, and any additional negative effects brought about. Through collaboration with the Kern Council of Governments and Caltrans, the team will gather input and feedback from the local impacted communities. It is expected that the process developed in this project could be replicated with other communities.

Assessing the Incorporation of Racial Equity into Analytical and Modeling Practices in Transportation Planning

Status

Complete

Project Timeline

February 15, 2021 - August 31, 2021

Principal Investigator

Project Team

Silvia González, Gian Claudia Sciara

Changes in Traffic Patterns and Localized Air Quality in Southern California

Status

Complete

Project Timeline

June 17, 2020 - December 1, 2021

Principal Investigator

Shams Tanvir

Project Summary

This project will develop an integrated analytical framework to determine changes in traffic at various scales (local, corridor level, and regional) due to the COVID-19 sheltering-in-place orders measures and conduct an analysis of the relationship of traffic-related changes to critical air pollutant concentrations. Traffic data and air quality data will be used from various existing sources, along with satellite-based measurements to complement the land-based measurements. The research team will estimate spatial-temporal changes in emissions for several traffic-related pollutants (e.g., NOX, CO, CO2, and HC). The team will then conduct a map-based relationship analysis between localized air-quality monitoring data and the estimated emissions. Finally, the team will overlay the map on CalEnviroScreen maps and correlate the changes with geographic locations of disadvantaged communities.

Autonomicity: A Modeling Framework for Equitable Policy Analysis for Future Transportation

Status

In Progress

Project Timeline

September 1, 2020 - August 30, 2021

Principal Investigator

Campus(es)

UC Irvine

Project Summary

An agent‐based simulation platform (“Autonomicity”) has been under development at UCI with SB‐1 funds. This platform has the necessary modules with proper state‐of‐the art routing, ride‐matching, pricing and other algorithmic components, as well as the real‐time communication among them. While the platform itself is not network‐specific, future mobility requires a study context, and a network in the city of Irvine, CA, is currently incorporated. This proposal is to develop the platform as a policy tool to study efficient and equitable/fair allocation of transportation supply, with methodological focus on congestion pricing under traveler heterogeneity. Current congestion pricing schemes may cause social barriers for low‐income populations. Thus, this project devises a smart mobility platform to study equitable options where travelers desiring a faster travel option pay for it, and travelers willing to yield his/her fastest option receive incentives. New behavioral paradigms such as envy‐theory will be used. Two main modules introduced in Autonomicity will be: 1) a pricing module to find the optimal tolls/incentives and 2) a dynamic traffic assignment module to find optimal systemwide traffic patterns. The research will result utilities for a user‐friendly decision‐support tool for policymakers.

Identifying Types of Telecommuters based on Daily Travel and Activity Patterns

Status

Complete

Project Timeline

September 1, 2020 - August 30, 2021

Principal Investigator

Campus(es)

UC Irvine

Project Summary

With the recent advent of telecommunications and information technologies, telecommuting becomes a rising trend as one of the most important alternative work arrangements. Moreover, due to the current worldwide outbreak of the COVID-19 disease, this choice has turned out to be a more vital one than ever. It is, therefore, crucial to identify the potential groups of workers who are more likely to be the telecommuters and to understand how the telecommuters schedule their daily activities and travel. The goal of this research is to address these issues. In particular, the team will perform the following three tasks: (1) identification of a number of distinct groups of telecommuters with a representative activity-travel pattern and a similar degree of telecommuting adoption (2) finding out similarities and differences in activity-travel behavior between national-level and regional-level (California) telecommuters and between commuters and telecommuters, and (3) investigation of impacts of telecommuting on individual’s time-use and tour behavior as well as the overall transportation system. Two large household travel survey datasets—2012 California Household Travel Survey (CHTS) and 2017 National Household Travel Survey (NHTS) will be used to conduct necessary analysis. This research is expected to provide valuable insights to policy makers on various telecommuter groups and their activity-travel patterns, adoption of telecommuting, and its impacts on travel.

COVID-19, Commuting, and E-Shopping: Understanding Current and Future Impacts in California

Status

Complete

Project Timeline

September 1, 2020 - August 30, 2021

Principal Investigator

Project Team

Lu Xu

Project Summary

With widespread business closures and stay-at-home restrictions due to COVID-19, commuting has dropped while telecommuting and e-commerce have soared. This joint UC Berkeley/UC Irvine project seeks to understand opportunities and potential impacts of COVID-19 on commuting and e-commerce. The research team proposes a mixed-method approach comprised of expert interviews, focus groups in Northern and Southern California, an online survey of Californians (n=~1,000), and a survey of super commuters (n=up to 500). The survey of the California population will show how travelers have been affected by COVID-19 for commuting and shopping and provide vital information about mode shift, public transit use, and willingness to share transportation post COVID-19. Understanding how Californians work and shop is critical to informing a number of policies at various levels of government including: AB/SB 32 (California’s Climate Change Solutions Act); SB 375 (Smart Growth Strategies); SB 743 (Converting Level of Service to VMT metrics under the California Environmental Quality Act); and other local and state transportation demand management (TDM) and commute trip reduction laws, ordinances, and policies. The data collected on goods delivery behavior will also have widespread implications, such as recommending a new set of TDM policy strategies for retailers, freight/supply chains management, and other stakeholders.

Identifying Strategies to Preserve Transit-accessible Affordable Housing

Status

Complete

Project Timeline

August 19, 2020 - September 30, 2021

Principal Investigator

Project Team

Madeleine Parker

Campus(es)

UC Berkeley

Project Summary

California’s expiring affordable housing covenants pose a barrier to not only its affordable housing supply, but also its greenhouse gas reduction goals. Working with the Southern California Association of Governments, this study would address the following research questions to assist policymakers preserve the affordability of housing with expiring covenants, particularly near transit. First, which developments are important to prioritize, based on covenant expiry timing, public transit access, and other factors? Second, what strategies are most effective at preserving affordable housing with expiring covenants, and how might a regional entity best facilitate this process? Using datasets on affordability covenants, high-frequency transit access, job accessibility, and opportunity maps, this research will first determine the order in which developments should be targeted. By analyzing the developments that have been converted to market-rate in the past, the research team will identify the building, neighborhood, and market factors that best predict building conversion. Interviews with affordable housing intermediaries will help identify the optimum timing for outreach in order to prevent conversion. After a review of local and regional strategies to preserve affordable housing, this research will develop a framework for affordable housing preservation at the regional and local scales.