Effects of Road Collisions on the Travel Behavior of Vulnerable Groups: Expert Interview Findings

Status

Complete

Project Timeline

October 1, 2022 - September 30, 2023

Principal Investigator

Project Summary

The last five years in California have seen annual averages of over 3,800 fatalities, nearly 15,900 serious (but not fatal) injuries, and over 233,100 minor injuries from vehicular collisions. These collisions disproportionately occur in marginalized neighborhoods and victimize people from socioeconomically marginalized groups, including people with disabilities. Despite the physical injuries and mental traumas that collisions can inflict upon victims, loved ones, emergency responders, and even otherwise unrelated bystanders, little is known about the effects of collisions on their travel behavior, such as frequency of travel and mode choices. Hypothetically, decreases in travel frequency could significantly harm socioeconomic equity, as victims or loved ones who travel less may participate less in the economy as workers or consumers, and these effects may be amplified for people with disabilities, who already face disadvantages with respect to access and mobility. Additionally, changes in mode choices, especially away from public or active transportation toward private vehicular transportation, may undercut Caltrans’s connected goals for road safety, equity, and greenhouse gas emission reduction in the California Transportation Plan 2050, Caltrans 2020-2024 Strategic Plan, and California 2020-2024 Strategic Highway Safety Plan. This study aims to answer: (1) How do experiences with collisions or near misses affect travel frequencies and mode choices among people with disabilities? (2) Do experiences with collisions or near misses correlate with people being less likely to use certain vehicular modes (e.g., driving, riding as a passenger, or using taxis, ridehailing services, or paratransit) compared to those without such experiences? To answer these questions, this project will use informal interviews, focus groups, and a survey. The research team will work with community-based organizations (CBOs) throughout California, especially those that advocate for people with disabilities, who are disproportionately vulnerable to collisions, as well as those which advocate for road safety in socioeconomically marginalized communities. Informal interviews and focus groups with representatives from those CBOs will help the researchers better understand issues facing people experiencing collisions and near misses, what questions may be too sensitive or problematic to ask such people, and policy challenges. Following these discussions, the research team will survey adults in California about their current frequencies of using different modes of transportation, firsthand or secondhand experiences with collisions or near misses, the extent to which those experiences have influenced their mode choices, their neighborhood type, and demographic, socioeconomic, and disability status. Findings will contribute to formulating policies for roadway safety, transportation equity, and greenhouse gas emission reduction.

Re-allocating Urban Space to Support Multimodal Transportation

Status

In Progress

Project Timeline

September 1, 2022 - September 30, 2026

Principal Investigator

Campus(es)

UC Davis, UCLA

Project Summary

Reducing vehicle miles traveled (VMT) is a key plank of California’s climate and broader transportation policies. The draft Scoping Plan Update from the California Air Resources Board calls for a per capita reduction in VMT of at least 22% from 2019 to 2045, and the state’s regions have enshrined VMT reduction targets in their Sustainable Communities Strategies. These reductions, however, are unlikely to be achieved without a reduction in the physical space—roadways and parking—allocated to motor vehicles. Just as parking and highway expansion induce more vehicle travel, capacity reductions can reduce it and also lock in place VMT reductions achieved through improved transit and active transportation facilities. The research team will consider if, how, where, and to what extent California local governments are reducing road and parking capacity. Such reductions are likely to be relatively small-scale to date, and so the researchers will examine three policy areas where embryonic capacity reductions are most likely to have occurred: (i) the conversion of existing garages to Accessory Dwelling Units, leading to a reduction in parking for the principal residence; (ii) elimination of parking and/or travel lanes to create space for bicycling infrastructure; and (iii) conditions of approval for development projects under the new vehicle miles traveled standard following SB 743.

Rail Transit Ridership in California: Lessons Learned from Station Area Assessments

Status

Complete

Project Timeline

February 22, 2022 - December 31, 2023

Principal Investigator

Project Team

Project Summary

Emerging evidence shows that rail transit ridership has recuperated unevenly—at different rates in different places—as California has emerged from the COVID-19 pandemic. Stations that serve central business districts, for example, show slower gains in rail transit passengers compared to stations with mixed income residents and mixed uses in suburban locations. It is not yet clear what is causing this difference, but this disparity signals that post-COVID ridership will be different from what was observed in the past, and some station areas will likely need to develop strategies that account for this new reality.

This study examines how various characteristics (e.g., land use, development density, the pedestrian environment) affect transit ridership pre- and post-COVID and how they differ across station types based on longitudinal data for 242 rail stations belonging to Bay Area Rapid Transit, San Diego Metropolitan Transit System, Sacramento Regional Transit, and LA Metro between 2019 and 2021. Key findings include an overall 72% decrease in station-level ridership, but changes were not uniform. Station areas with a higher number of low-income workers and more retail or entertainment jobs tend to have lower ridership declines, while areas with a large number of high-income workers, high-wage jobs, and higher job accessibility by transit had more ridership losses.

Identifying Solutions for Overcoming Barriers to Transit-Oriented Development

Status

Complete

Project Timeline

October 1, 2021 - December 31, 2022

Principal Investigator

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

Project Summary

This report examines if and to what extent state-level transportation departments in four states incorporate race and equity considerations into transportation planning technical analyses and modeling practices, particularly for long-range transportation plans, and how such equity-infused practices can be improved. The research team examined relevant literature, reviewed statewide long-range transportation plans for California and three other states, consulted with other experts, and conducted interviews with scholars and knowledgeable agency staff and practitioners. The findings indicate widespread acknowledgment that racial disparities in transportation exist, and state agencies have expressed a strong commitment to redressing the inequalities. However, while there has been progress in creating analytical equity tools to assess transportation projects and programs, they lack standardization. There have also been few noticeable revisions to existing regional transportation planning models to incorporate equity, and the profession lags behind what is technically possible based on the work of academic researchers. Technical staff need better training in regard to equity issues and agencies should encourage greater collaboration between equity and analytical units to develop and improve frameworks to assess equity performance in plans, programs, and projects.

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.