policy brief

Transformative Community Planning Can Advance Mobility Justice

Abstract

Top-down transportation planning practices have historically ignored the needs and concerns of low-income communities of color. Federal funding guidelines, agency objectives, regional and local planning processes, and community priorities often conflict with each other at the expense of the health, safety, and livelihood of vulnerable populations. Decades of discriminatory government policies and disinvestment have enabled gentrification, particularly in underserved neighborhoods where new transportation investments make these areas more accessible and attractive to wealthier, often white, residents, which can lead to residential and commercial displacement as public investments increase land values and rents. Mobility justice, which treats mobility as a fundamental human right and promotes a version of transportation planning that incorporates distributive, procedural, and recognition justice, offers an alternative framework.

published journal article

State Preemption in Theory and Practice: The Case of Parking Requirements

Abstract

In U.S. law, states can override actions of local governments that contravene state interests. In practice, preemptions are often more ambiguous nudges, and local responses can vary by interpretation and interests. This paper explores one such case of state preemption: California’s 2022 law that limited local governments’ ability to require automobile parking. We find that the law’s complexity and ambiguity created intense debates about interpretations, in all jurisdictions, leading to heterogeneous implementation across cities. Local interests also motivated strategic responses to the law, which we present in a threefold taxonomy: cities interested in parking reform used it as a springboard; cities interested in parking reform but facing local resistance used it as a protective shield; recalcitrant cities treated it as an obstacle or subverted the law. Our analysis shows that preemption is not as clear cut as it seems, and what conditions help and hinder changes in actual outcomes.

published journal article

Hybrid Workers’ Activity Intensity: Post-Pandemic Comparison of Telework-Only and in-Person Workdays

Abstract

The COVID-19 pandemic profoundly reshaped work patterns, with a sizable portion of workers becoming engaged in hybrid work (i.e., combining teleworking and in-person work). This study investigates whether hybrid workers, in the post-pandemic era, participate in out-of-home activities differently on their telework days than on their in-person workdays. Using data from 1,438 hybrid workers in California, US, collected during fall 2023, we estimate a multivariate ordered-response probit model with threshold shifters. Differences in participation across six out-of-home activities (shopping, errands, drop-off/pick-up, eating out, visiting friends and family, and exercise) between telework and in-person workdays are jointly modeled. Workers show greater overall activity participation on telework days, with considerable heterogeneity among individuals. On telework days, women and older workers tend to have lower participation in out-of-home activities. Flexible work schedules are associated with higher participation in social activities. Greater time savings (from not having to physically commute) lead to higher overall participation. The results underscore the importance of policies that support flexible work arrangements, considering their potential to positively affect lifestyle and productivity. Additionally, teleworking at non-home locations is linked to higher activity participation overall, suggesting potential trip-chaining or unique activity allocation strategies that warrant further investigation. The study contributes to the literature on post-pandemic teleworking and activity participation, and offers valuable insights into urban planning, transportation policy, and remote-work policies.

policy brief

Shifting Air Travel to High-Speed Rail Could Save $300 Million in Reduced Airport Delays

Abstract

California High-Speed Rail (HSR) is a publicly funded high-speed rail system currently under construction in the state. According to the California High-Speed Rail Authority (CHSRA), service on the initial 119-mile segment from Madera to Bakersfield is projected to begin in 2029. The full Phase 1 will later connect Anaheim and Los Angeles with San Francisco via the Central Valley in 2033. The ride between Los Angeles and San Francisco will cover a total distance of 380 miles and take 2 hours and 40 minutes.

Caltrans’ 2021 Interregional Transportation Strategic Plan, makes HSR the state’s highest transportation priority for the San Francisco Bay Area — Los Angeles corridor. Quantifying its public benefits are difficult but include reducing traffic demands on California’s roads and airports.

published journal article

Rail transit ridership changes in COVID-19: Lessons for station area planning in California

Abstract

Emerging evidence suggests that the recovery of transit ridership post-COVID has been uneven, especially for rail transit. This study aims to understand the station area land use, built form, and transit network characteristics that explain station-level changes in transit ridership pre- and post-COVID, and explores the degree to which those changes are rail transit-specific or the result of overall changes in visits to station areas. Specifically, the study examines ridership changes between 2019 and 2021 for 242 rail stations belonging to the Bay Area Rapid Transit (BART), San Diego Metropolitan Transit System (MTS), Sacramento Regional Transit (SACRT), and LA Metro and associate those changes with the built environment, socio-demographics, and rail network characteristics around each station using regression analysis. The study also compares these changes in ridership to overall changes in activity aggregated by station area type. The study found there was an overall decrease in station-level ridership of 72 %, but changes were not uniform, with 92 stations decreasing more and 152 stations decreasing less. The study also found that ridership declined more drastically than overall station area activity across all four rail systems, which implies that rail transit riders were more sensitive to pandemic-related changes than other commuters. The findings suggest that a rail transit ridership recovery strategy should strategize to reinvent and reinforce downtowns as destinations, and shift rail transit services to appeal to non-commute travel, as well as enhance bike and pedestrian accessibility around stations.

research report

Quantifying Major Travel Delay Reduction Benefits from Shifting Air Passenger Traffic to Rail

Abstract

This study provides a method to quantify the benefits of reducing the costs from flight delays by shifting air passenger traffic to high-speed rail (HSR). The first estimate was the number of flight reductions by each quarter hour for airport origin and destination pairs based on HSR ridership forecasts in the California High-Speed Rail 2020 Business Plan. Lasso models are then applied to estimate the impact of the reduced queuing delay at SFO, LAX and SAN airports on arrival delays at national Core 29 airports. Finally, these delay reductions are monetized using aircraft operating costs per hour and the value of passenger time per hour. The research team applied several different variations of this approach, for example, considering delay at all 29 Core airports or just major California airports, different scenarios for future airport capacity and flight schedules, and different forecasts for future HSR ridership. The estimated mid-range delay cost savings are $51-88 million (2018 dollars) in 2029 and $235-392 million (2018 dollars) in 2033. The estimated savings are similar to, but slightly lower than, those based on cost estimates to upgrade airport capacity to handle passenger traffic that could be diverted to HSR.

published journal article

What factors influence the adoption and use of dockless electric bike-share? A case study from the Sacramento region

Abstract

Now that dockless electric bike-share systems have become a fixture in major cities in the U.S., it is important to understand why someone chooses to use the service. Beyond socio-demographics, factors such as mode-related attitudes, the social environment, and the availability of the service may influence both its adoption and frequency of use. This study modeled dockless electric bike-share adoption and use frequency using data collected from a household survey and a bike-share user survey from the Sacramento region. The study used integrated choice and latent variable models to understand the influence of attitudes on electric bike-share adoption and use frequency. Three latent variables − bike affinity, car necessity, and bike social environment − were developed using responses to eleven statements. The models show that apart from socio-demographics, attitudes related to bike affinity and bike social environments significantly and positively influence bike-share adoption with a large effect size, whereas the car necessity attitude significantly and negatively influences the use frequency with a large effect size. Individuals with low incomes are less likely to adopt the bike-share service. The availability of electric bike-share in key locations (home and/or work and/or school) where an individual frequently goes significantly and positively influences adoption with a large effect size but does not influence use frequency. Findings from this study can inform the dockless electric bike-share policies of cities as well as the rebalancing strategies of service providers.

policy brief

Truck Parking and Idling is Having an Impact on Disadvantaged Communities in California

Abstract

Under California Assembly Bill 617 (Garcia, 2017), local and state agencies are working to reduce air pollution exposure in low income communities. These communities—often referred to as AB 617 communities—are disproportionately impacted by air pollution due to their proximity to transportation corridors, industrial installations, and logistics centers. A research team at the University of California, Davis investigated the impact of truck parking related activities on air quality in California’s AB 617 communities in Kern County, including truck idling, time spent searching for parking, and parking locations in communities. Searching for parking involves trucks driving extra miles to find available parking spaces, which leads to additional fuel consumption and increased emissions of pollutants such as nitrogen oxides (NOx) and particulate matter (PM 2.5 and PM 10). Once parked, prolonged or illegal parking can exacerbate congestion, noise, and localized pollution. These combined activities heighten exposure to harmful emissions in EJ communities, potentially leading to health issues (e.g., asthma and cardiovascular diseases). A comprehensive policy framework addressing truck parking facilities, management, and air pollution control is crucial for improving air quality and living conditions in AB 617 communities. There are a number of initiatives that could contribute to improving the conditions on these communities.

An Analysis of Travel Characteristics of Carless Households in California

Status

Complete

Project Timeline

August 1, 2016 - July 31, 2017

Principal Investigator

Project Team

Suman Mitra

Campus(es)

UC Irvine

Project Summary

In spite of their substantial number in the U.S., the research team’s understanding of the travel behavior of households who do not own motor vehicles (labeled “carless” herein) is sketchy. The goal of this paper is to start filling this gap for California. We perform parametric and non-parametric tests to analyze trip data from the 2012 California Household Travel Survey (CHTS) after classifying carless households as voluntarily carless, involuntarily carless, or unclassifiable based on a California Household Travel Survey question that inquires why a carless household does not own any motor vehicle. The research finds substantial differences between the different categories of carless households. Compared to their voluntarily carless peers, involuntarily carless households travel less frequently, their trips are longer and they take more time, partly because their environment is not as well adapted to their needs. They also walk/bike less, depend more on transit, and when they travel by motor vehicle, occupancy is typically higher. Their median travel time is longer, but remarkably, it is similar for voluntarily carless and motorized households. Overall, involuntarily carless households are less mobile, which may contribute to a more isolated lifestyle with a lower degree of well-being. Compared to motorized households, carless households rely a lot less on motor vehicles and much more on transit, walking, and biking. They also take less than half as many trips and their median trip distance is less than half as short. This study is a first step toward better understanding the transportation patterns of carless households.

State-Level Strategies for Reducing Vehicle Miles of Travel

Status

Complete

Project Timeline

August 1, 2016 - July 31, 2017

Principal Investigator

Campus(es)

UC Davis

Project Summary

California has set ambitious goals for reducing its greenhouse gas emissions to 40% below 1990 levels by 2030 and 80% below 1990 levels by 2050. To meet these goals, the state must achieve a 15 percent reduction in total travel by light-duty vehicles by 2050 compared to expected levels.1,2 Under current state policies, reductions of this magnitude are unlikely. Strong evidence exists that strategies across four categories – pricing, infill development, transportation investments, and travel demand management programs – can reduce vehicle miles of travel (VMT).3 The state can directly implement some of these strategies, particularly pricing strategies, through state-level policies. Others depend on actions by regional and local governments, though state-level policies can encourage their implementation through incentives, requirements, or other mechanisms.