Pandemic-related Shifts in Work, Travel, and Transit Use: Implications for Public Policy

Status

Complete

Project Timeline

July 1, 2022 - October 31, 2023

Principal Investigator

Project Team

Project Summary

While the COVID-19 pandemic dramatically affected travel and transportation systems, driving has largely returned to pre-pandemic levels, even as a significantly larger share of the workforce works from home full- or part-time. However, there have been significant changes in the timing and patterns of car travel since before the pandemic. Moreover, public transit systems have been especially hard hit, and riders have proven slow to return. While transit use by those unable to drive (who are more likely poor, immigrants, people of color, and/or disabled) has substantially recovered since the shutdowns in the spring of 2020, daily commuting to and from major employment centers collapsed and is just beginning to recover. The shifts in motor vehicle travel and the more dramatic changes in public transit use are both likely related to workplace changes, as the number of remote and hybrid workers has increased. The longer-term effects of the pandemic on travel remain uncertain, as do the appropriate policy responses to changing traffic patterns broadly, and to depressed transit ridership specifically. Public transit is a key transportation pillar of California’s climate and equity goals, which will be harder to meet with driving up and transit riding down.

To examine late-pandemic shifts in trip timing, this project analyzed smartphone location data to track the location and timing of vehicle trips on streets and highways in Greater Los Angeles. Specifically, this study compares the average number of trip origins for each hour of the day in all 10,783 census block groups in Imperial, Los Angeles, Orange, Riverside, San Bernardino, and Ventura counties in October 2019 and October 2021. The project then estimated a series of statistical models to examine the factors associated with both the levels of and changes in the timing of afternoon peak-period trip-making. Following an initial analysis, this project focused on shifts in early (12 p.m.–3:59 p.m.) and late (4 p.m.–7:59 p.m.) afternoon trip-making between fall 2019 and fall 2021. The primary data comes from StreetLight, a location analytics company that provides travel datasets collected from mobile phones, GPS receivers, and other network-enabled devices. This data was augmented with information from the U.S. Census, Longitudinal Employer-Household Dynamics Origin and Destination Employment Statistics (LODES), and the U.S. Department of Education.

Analyzing Telecommuting and Travel in California Before, During, and After the Pandemic

Status

Complete

Project Timeline

April 1, 2022 - June 30, 2024

Principal Investigator

Campus(es)

UC Irvine

Project Summary

The COVID-19 pandemic has disrupted day-to-day business and triggered massive changes in travel behavior for work and other activities. Due to social distance and travel restrictions imposed during the pandemic, teleworking has become much more prominent: a survey estimated that between February and May 2020, over one-third of the American labor force switched from in-person work to telework. The Census Pulse Survey (2020-2021) reported that 40% of households in California indicated that at least one household member substituted in-person work with telework (compared to the US national average of 37%). The pandemic provides a unique opportunity to examine the potential impacts of teleworking on travel and measure the potential effectiveness of this work arrangement as a travel demand and environmental management tool.

This study examines changes in telecommuting and the resulting activity-travel behavior during the COVID-19 pandemic, with a particular focus on California. A geographical approach was taken to “zoom in” to the county level and to major regions in California and to “zoom out” to comparable states (New York, Texas, Florida). Nearly one-third of the domestic workforce worked from home during the pandemic, a rate almost six times higher than the pre-pandemic level. At least one member from 35 percent of U.S. households replaced in-person work with telework; these individuals tended to belong to higher income, White, and Asian households. Workplace visits have continued to remain below pre-pandemic levels, but visits to non-work locations initially declined but gradually increased over the first nine months of the pandemic. During this period, the total number of trips in all distance categories except long-distance travel decreased considerably. Among the selected states, California experienced a higher reduction in both work and non-workplace visits and the State’s urban counties had higher reductions in workplace visits than rural counties. The findings of this study provide insights to improve understanding of the impact of telecommuting on travel behavior during the pandemic.

Assessing Benefits from Shifting Passenger Travel from Air to High-Speed Rail in California

Status

Complete

Project Timeline

August 19, 2020 - August 18, 2021

Principal Investigator

Project Team

Kaijing Ding

Project Summary

This project proposes a Synthesis Study that will assess the economic benefits and impacts shifting air passenger traffic from air to rail. The assessment will take account of recent technological, economical, political, social, and epidemiological developments. It will incorporate the latest thinking on the importance of resilience and adaptability in assessing and planning infrastructure, and emerging recognition of the need to incorporate uncertainty into analyses of long-term benefit. Finally, it will inventory HSR deployment experiences from around the world to find the claimed and realized benefits from shifting air traffic to rail, as well as the role of complementary policies to the HSR deployment itself in promoting this shift.

According to the 2015 Interregional Transportation Strategic Plan, California High-Speed Rail (HSR) is the highest transportation priority for the corridor between the San Francisco Bay Area and Los Angeles. Many advocates view HSR as transformational and its benefits difficult to quantify, but consider reducing traffic demands on California’s roads and airports to be a major quantifiable benefit. The approaches to monetizing this benefit, while reasonable, is quite simplistic. The research team seeks a more comprehensive analysis that captures a wider set of benefit mechanisms and places confidence bounds on the benefits from each mechanism.

Drivers’ Responses to Eco-driving Applications: Effects on Fuel Consumption and Driving Safety

Status

Complete

Project Timeline

August 19, 2020 - December 31, 2021

Principal Investigator

Project Team

Campus(es)

UC Berkeley

Project Summary

Climate change in California could have a large impact on the state’s economy, natural, and public health. One strategy to reduce fuel consumption and greenhouse gas emissions from the transportation sector is eco-driving. With the advance of connected-vehicle technologies, dynamic eco-driving uses real-time vehicle-specific information to optimize the vehicle speed and reduce fuel consumption and emissions. However, the effectiveness of eco-driving is seriously compromised by two issues: drivers’ interactions with the in-vehicle displays and lack of compliance with the real-time guidance. For the eco-driving applications to be optimally utilized and widely adopted, such challenges must be properly addressed. This project proposes to explore the two issues through a driving simulator experiment. Two types of roadways will be investigated, including local roadway with signalized intersections, and freeway stop-and-go traffic. Two well-established connectivity-based eco-driving velocity planning algorithms will be experimentally evaluated. Through findings of this project, the research team expects to provide policy makers with (1) realistic estimations of benefits of eco-driving applications; (2) countermeasures for higher compliance rate; (3) guidelines for safer interface design; and (4) guidance regarding increasing public awareness and adoption of eco-driving technologies.

Categorizing and Prioritizing Trip Types to Support California’s VMT Reduction Goals

Status

In Progress

Project Timeline

October 27, 2022 - April 30, 2025

Principal Investigator

Campus(es)

UC Irvine

Project Summary

Vehicle miles traveled (VMT) is a well-accepted measure of the amount of travel taking place on a transportation system and thus, that system’s climate impacts and sustainability characteristics. California Senate Bill (SB) 375 establishes a process for setting regional-level targets to reduce VMT, which necessitates incorporating VMT-based analysis into transportation planning and modeling in practice. The issue is whether VMT needs to be further classified into “types of VMT” that can be incorporated into the process to provide more sensitive policy analysis. Trips differ in both their purpose and in the mode or vehicle used, and consequently, VMT can be viewed as better or worse for economic productivity and sustainability based on these characteristics. For example, some car trips can be accomplished with web-based devices. Little research has pursued this notion for policy-making purposes. Using available data on trip purposes, and on vehicle mixes (in terms of fuel usage and environmental impact) used for trips, productivity-based indices can be developed to properly assess the environmental/energy impacts of the VMT associated with broad classes of trips.

This project utilizes various data sources and an existing transportation system planning and analysis model (for a selected case study network) to develop methods for identifying and prioritizing potential VMT categories. Researchers will then use this information to evaluate the impact of different policies. This initial study will also serve as a trial for larger studies to evaluate system-wide policy implications. VMT category-based pricing, subsidy, taxation and land-use policies can be tested in selected network case studies. One simple example would be taxing VMT from electric vehicles less than gasoline powered vehicles.

Road Capacity as a Fundamental Determinant of Vehicle Travel

Status

Complete

Project Timeline

June 1, 2022 - September 30, 2024

Principal Investigator

Project Team

Susan Handy, Michael Rosen

Project Summary

Most of California’s success in reducing transportation emissions over the last 20 years can be attributed to improvements in vehicle efficiency and the adoption of lower-carbon fuels, particularly electricity. California must also reduce vehicle miles traveled (VMT) in order to meet critical climate goals and to enjoy the many co-benefits of reduced driving, such as improved air quality, safety, and public health. Increasing active transportation and transit options are two key strategies that California regions are using to try to reduce VMT, but to date, these projects have not been able to significantly cut VMT. One potential explanation is induced travel demand. Just as adding a highway lane reduces congestion and travel times and thereby induces more people to drive, the same outcome may occur when rapid transit and bike facilities are constructed. As these facilities attract former drivers, congestion is reduced, and more or new drivers backfill the roadway capacity that was freed up. This project investigates two questions. First, to what extent are VMT reductions from transit and active transportation backfilled by induced traffic? Second, is roadway and parking infrastructure the primary, long-run determinant of VMT in congested urban areas? The second question will explore the extent to which infrastructure needs to be sized proportionately to nearby highway capacity if regional and statewide VMT and greenhouse gas reduction goals are to be realized.

Pandemic-related Shifts in Work, Travel, and Transit Use: Implications for Public Policy

Status

Complete

Project Timeline

July 1, 2022 - December 31, 2023

Principal Investigator

Project Summary

While the COVID-19 pandemic dramatically affected travel and transportation systems, driving has largely returned to pre-pandemic levels, even as a significantly larger share of the workforce works from home full- or part-time. However, there have been significant changes in the timing and patterns of car travel since before the pandemic. Moreover, public transit systems have been especially hard hit, and riders have proven slow to return. While transit use by those unable to drive (who are more likely poor, immigrants, people of color, and/or disabled) has substantially recovered since the shutdowns in the spring of 2020, daily commuting to and from major employment centers collapsed and is just beginning to recover. The shifts in motor vehicle travel and the more dramatic changes in public transit use are both likely related to workplace changes, as the number of remote and hybrid workers has increased. The longer-term effects of the pandemic on travel remain uncertain, as do the appropriate policy responses to changing traffic patterns broadly, and to depressed transit ridership specifically. Public transit is a key transportation pillar of California’s climate and equity goals, which will be harder to meet with driving up and transit riding down. This research will investigate how metropolitan travel patterns have shifted in the late stages of the pandemic and what these shifts imply for driving and public transit use in the years ahead. The project will build on current research underway in Northern and Southern California drawing on and integrating both survey and mobile device data that reflect traveler movements before and during the pandemic. Specifically, it will look at how these pandemic-induced shifts in travel relate to the rise of working from home, how this might affect the demand for public transit in the future, and what evidence-based policy recommendations can be offered to state, regional, and local transportation agencies to better respond to and address these new patterns of travel demand.

Factors Affecting Development Decisions and Construction Delay of Housing in Transit-Accessible and Jobs-Rich Areas in California

Status

Complete

Project Timeline

September 1, 2020 - August 30, 2021

Principal Investigator

Project Team

Jae Hong Kim, Douglas Houston, Moira O’Neill, Eric Biber, Douglas Houston, Sarah Lindbergh, Narae Lee, Giulia Gualco-Nelson

Campus(es)

UC Irvine

Project Summary

Recent state legislation has attempted to address California’s housing affordability crisis by encouraging new development in transit-accessible and/or jobs-rich areas. But policymakers lack adequate information in two key areas: the effects of transportation laws and plans on the decisions of developers regarding whether and where to build housing; and the determinants of delays in approvals for proposed projects in jobs-rich and transit-accessible areas. Drawing on a unique dataset detailing all residential projects of five units or more that were approved from 2014 through 2017 in seven Southern California jurisdictions, this project will analyze the extent to which transportation policies, rules, plans, and investments influence the location of new housing and delay the construction of new housing. Using descriptive statistics and multivariate modeling, the research team will examine developers’ decisions concerning whether and where to build housing, identifying how project-level attributes and contextual variables, including those related to transportation, affect decisions about whether and where to build infill projects in jobs-rich and transit-rich locations. This work will also include a systematic comparison of permitting timelines for otherwise comparable projects with different degrees of transit availability or job accessibility, along with multivariate modeling to assess the determinants of delay.

Micromobility Trip Characteristics, Transit Connections, and COVID-19 Effects

Status

Complete

Project Timeline

July 1, 2020 - September 30, 2021

Principal Investigator

Project Team

Project Summary

While micromobility services (e.g., bike share, e-bike share, e-scooter share) hold great potential for providing clean travel, estimating the effects of those services on vehicle miles traveled and reducing greenhouse gases is challenging. Government agencies are just beginning to discuss ways to incentivize micromobility services to achieve these goals. California has taken one step in this direction through the SB 1014 (2018) Clean Miles Standard and Incentive Program. With this law, the California Air Resources Board (CARB) wants to better understand the characteristics of micromobility systems to help set regulations for Transportation Network Companies (TNC) to reduce emissions. This project proposes to help inform CARB’s regulations by summarizing micromobility trip characteristics using an archive of “big data” from the General Bikeshare Feed Specification data (in 28 North American cities) pre-, during-, and post-COVID-19, estimate micromobility mode substitution from existing survey data and a literature review, and estimate the effects of micromobility on transit ridership. The project results are expected to directly influence CARB’s regulations of TNCs, but will also be pertinent for future state and local incentives and regulations of micromobility services.

research report

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

Abstract

This project uses mixed methods to examine the systemic causes and consequences of the construction of Stockton, California’s Crosstown Freeway, and urban redevelopment for Asian American communities. Stockton underwent spatial restructuring in the decades after the Second World War, and state and local governments 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. The findings can help reform and improve professional practice within the transportation arena to ensure racial fairness and equity.