research report

Struggling to Connect: Housing and Transportation Challenges of Low-Income Suburban Residents in the San Francisco Bay Area

Abstract

Suburban areas have lower density development than urban areas, which may make them less accessible for the growing population of low- and moderate-income suburban residents, particularly those without a personal vehicle. This research examines factors that lead these households to move to suburban areas and identifies accessibility barriers they face. We use a mixed-methods approach with Public Use Microdata Sample data from the U.S. Census, online/in-person surveys (n=208), and interviews conducted in English and Spanish (n=25) with households in Contra Costa County with an income of less than $75,000. To understand key differences in housing and transportation choices between urban and suburban residents, these data were compared to survey and interview data from low-income Oakland residents from 2020-2021. We found that low- and moderate-income households choose to live in the suburbs due to rising rents and other requirements (e.g., credit score, rental history) in urban areas, and a desire for home ownership and a safer environment for children. Yet, the lack of tenant protections is leaving them vulnerable to rising rents in suburban areas. Transportation costs are higher in suburbs due to longer commutes and higher reliance on personal vehicles. Despite higher levels of car-ownership in the suburbs, households often go without a car due to maintenance issues or inability to make car payments. When faced with the lack of an automobile, suburban households have few quality transportation alternatives.

policy brief

Connected Eco-Driving Technology Can Help Improve Traffic Flow While Reducing Truck Emissions

Abstract

California has experienced faster growth in freight volume than freight-related infrastructure, leading to travel delays as well as traffic congestion and air pollution. Onestrategy to improve the efficiency of freight movement while also reducing environmental impacts is to encourage “connected eco-driving.” This could be accomplished by utilizing innovative connected vehicle technology to provide truck drivers real time traffic signal phase and timing information that could be used to determine the best driving speed for passing smoothly through multiple intersections without stopping. The technology has been in research and development for over a decade. While initially developed for passenger cars the connected eco-driving technology has also been applied to other types of vehicles, including Class 8 diesel trucks.

research report

Evaluation of Benefits and Costs of Truck Connected Eco-Driving Program on Urban Freight Corridors

Abstract

This research estimates the costs and benefits of implementing connected eco-driving technology for freight trucks on signalized freight corridors as a strategy to mitigate the impacts of truck traffic. The costs associated with enabling the technology include capital investment for infrastructure upgrades such as upgrading traffic controllers and installing communication modems. The costs also include operating costs for wireless data plans and computing servers. Over a period of 20 years, the total cost for one intersection is estimated to be $18,200. The benefits of the technology include reductions in energy consumption and emissions from a connected truck traveling on connected corridors. Under cold start conditions, the technology could help reduce overall fuel consumption by 20%, and emissions of carbon dioxide, nitrogen oxides, and particulate matter by 22%, 20%, and 15%, respectively. Under hot running conditions, the technology could help reduce overall fuel consumption by 10% and emissions of carbon dioxide, nitrogen oxides, and particulate matter by 10%, 0%, and 41%, respectively. Based on these estimates, connected eco-driving technology can play an important role in addressing greenhouse gas emissions from freight trucks, as well as mitigating the air quality and health impacts associated with truck emissions in communities that are heavily impacted by truck traffic.

policy brief

Congestion Pricing Can Be Equitable If a Portion of the Revenue is Returned to Drivers

Abstract

Economists have long argued in favor of congestion pricing, under which drivers pay a fee or toll to enter roadways during peak times. An increasing number of global cities have adopted or are considering pricing programs. Even so, these regimes remain relatively rare and controversial. One key concern with congestion pricing is fairness. Road pricing can pose a substantial burden for low-income drivers, many of whom have little option to avoid travel during peak times and limited opportunity to choose other modes of travel. Prior research has shown that congestion pricing regimes tend to be regressive in terms of their initial burden, that is, in terms of who ends up paying more to use the roads.1 But, the ultimate effect of a road pricing program depends also on how its revenue is used. Some or all of the revenue from a congestion pricing program can be returned to households, and this can fundamentally change the program’s fairness.

policy brief

Shared Charging Hubs May Help Reduce Greenhouse Gas Emissions and Peak Power Demand

Abstract

The public and private sectors are making significant investments in electric vehicle charging infrastructure, however, the design, planning, and rollout of charging infrastructure tends to be siloed by mode (i.e., charging needs for passenger vehicles, transit buses, trucks, e-scooters, and other modes are not considered together). Given the ever-increasing interactions among these electrified transportation modes, there is growing interest in how to better integrate the design and delivery of charging infrastructure, such as through shared charging hubs.
To help policy makers and transportation agencies make more informed decisions regarding the planning and design of charging infrastructure, UC Riverside researchers developed a model for determining the optimal location, configuration (i.e., number of chargers, power capacities), and charging schedules for shared charging hubs serving cars and transit buses with the goal of reducing greenhouse gas (GHG) emissions. The model was then applied using Contra Costa County in California as a case study b

research report

Charging Hub for Electrified Mobility

Abstract

With the growing concern over global climate change, the pace of transportation electrification has greatly accelerated in recent years to achieve net-zero greenhouse gas (GHG) emissions. However, electricity is not entirely generated from renewable resources at the moment. The overall carbon emission per kWh of electricity fluctuates due to the inconsistent nature of renewables such as solar and wind. Utilizing low-carbon electricity remains a challenge. On the other hand, current designs and research on charging infrastructure separate electric buses and passenger cars, neglecting the great potential of coordinated charging between different transport modes. How to deploy and operate public charging infrastructure to best serve an electrified multi-modal transportation system while maximizing the benefits of decarbonization remains unclear. This research tries to integrate different transport modes into the strategic planning and design of the shared charging hubs to produce an efficient and low-carbon electrified transportation ecosystem. Shared charging hubs can provide holistic energy management to maximize greenhouse gas emission reduction given budget limits while balancing peak power demands by integrating real-time electricity carbon intensity (ECI) and vehicle-to-grid (V2G) technology. The model was successfully applied to bus fleets of seven transit agencies and the park-and-ride cars of twelve rail transit stations in Contra Costa County, California. This research will help policymakers and transportation agencies make more informed decisions regarding the planning and design of charging infrastructure.

research report

Strategies to Preserve Transit-accessible Affordable Housing in Southern California

Publication Date

August 1, 2023

Author(s)

Karen Chapple, Madeleine Parker, Yuju Park

Abstract

This report highlights risk and prioritization factors for housing developments with expiring affordability protections, focused on preserving transit-accessible affordable housing. It presents a regional framework for identifying and preserving subsidized affordable housing in the Southern California Association of Governments (SCAG) region (Los Angeles, Imperial, Orange, Riverside, San Bernardino, and Ventura counties). First, the research team analyzes data from the California Housing Partnership (CHPC) and the National Housing Preservation Database (NHPD) to understand risk factors for expiring housing units and design a prioritization tool for entities in the region to use when prioritizing developments to focus on preservation and anti-displacement efforts. Second, the team highlights affordable housing preservation policy solutions and characteristics unique to the Southern California context. Third, the research paper draws on the strategies and experiences of other jurisdictions in the United States with experience strategizing around affordable housing preservation efforts to present key lessons and takeaways.