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

The Missing Link in Automated Vehicle Safety: Projected Braking and Realistic Driving Behavior

Abstract

As more automated vehicles (AVs) gradually appear on our roads, they must be able to safely interact with human drivers as well as existing infrastructure designed with human drivers in mind. Current car-following computer models—which determine how AVs adjust their speed and position relative to other vehicles—often struggle to replicate human driving patterns. This deficiency could lead to unpredictable AV behavior, potentially increasing crash risks, disrupting traffic flow, and creating problems at traffic lights and intersections designed for human drivers. If AVs brake much earlier or later than humans, drivers may be caught in ‘dilemma zones’ — unable to safely stop or proceed through the intersection. To address these challenges, the research team conducted a comprehensive analysis of existing car-following models and developed a novel multi-phase projection-based model that ensures safety while exhibiting human-like driving characteristics.

white paper

Coordinated Operation of Shared Micro-mobility for a Sustainable City Transportation System

Publication Date

October 1, 2025

Author(s)

Shams Tanvir, Meagan Chan, Kanok Boriboonsomsin, Matthew Barth, Alyssa Labrador

Abstract

At present day, there are little to no policies around the use and implementation of micro-mobility in many cities. At the national level, there are no specific guidelines that outline how micro-mobility parameters should be implemented in a city. The National Transportation Board has left it up to
metropolitan districts to decide on how to gauge the decision to install micro-mobility systems in their cities. However, best practice guidelines have been identified by the National Association of City Transportation Officials (NACTO) and the U.S. Department of Transportation Federal Highway Administration (FHWA).

policy brief

Using a “Bathtub Model” to Analyze Travel Can Protect Privacy While Providing Valuable Insights

Publication Date

October 14, 2025

Author(s)

Wenlong Jin, Joseph H. F. Lo

Areas of Expertise

Abstract

Transportation agencies increasingly rely on detailed trip data to analyze traffic patterns and plan infrastructure improvements. However, traditional data collection methods require extensive personal information about travelers’ origins, destinations, and routes, raising serious privacy concerns. Current “big data” approaches can track individual movements with alarming precision, often without explicit consent. As privacy regulations tighten and public concerns grow, transportation planners need alternative methods that balance analytical needs with privacy protection. To address this challenge, the research team evaluated the “bathtub model” as a privacy-preserving alternative to traditional traffic data collection methods. This simple, network-level approach treats all trips in a region as part of one system. Instead of tracking each person’s path, a bathtub model represents trips by how much distance they have left to travel. This allows for analyzation of network performance while protecting privacy.

research report

Reimagining Transportation as a Social Service to Build Resilience and Support Community Power

Abstract

This study develops guidance for public transit agencies in Los Angeles, California to better prepare for hazards and address challenges, including climate and safety concerns. Using a community-based participatory research methodology in partnership with the local non-profit organization Climate Resolve, three listening sessions were conducted with 26 community members involved with the Boyle Heights Arts Conservatory, a community-serving resilience hub that supports residents in accessing resources both during everyday conditions and extreme events, to explore their experiences related to public transit and how it could be better integrated with existing social systems to increase systems’ resilience to extreme weather disruptions. Based on several recurring themes drawn from the participants’ statements, a framework was developed named Cascading Vulnerabilities, Ascending Strengths to explore the connections between infrastructure systems’ vulnerabilities and strengths. The study concluded with a reexamination of the traditional Four Rs of resilience framework, expanding these measures to include both physical and social infrastructure through a multisystemic resilience lens.

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.

white paper

Electric Vehicle Charge Management Strategies to Benefit the California Electricity Grid

Abstract

Recent studies suggest that there could be significant value to electric vehicle (EV) drivers and power companies from incorporating EVs into the state’s electrical power grids, known as Vehicle-Grid Integration (VGI). However, the benefits could be highly variable depending on the location of the utility territory, vehicle type and battery capacity, the relevant timeframe, and whether the connection involves only managed charging or includes bidirectional charging permitting vehicle to grid (V2G) power transfer, and other factors. Various studies conducted to date generally conclude that the opportunities for V2G could have two to three times the value of managed (or “smart”) charging. However, there are considerable additional complications for grid integration, including variable and site-specific implementation costs. Some savings such as deferring distribution system upgrades can be very significant but are also site-specific and depend on the level of current and projected demands for electric power on the individual distribution feeder lines, and are therefore difficult to predict.

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.

website

Going Places: A Study of Universal Basic Mobility Pilot Programs

Abstract

This website overviews pilots programs inspired by the idea of Universal Basic Mobility across the US, and showcases four California pilots in-depth. Program details and a toolkit are provided as resources for the intended audience – cities, mobility companies and other stakeholders interested in implementing UBM programs.

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.