preprint journal article

Transit Riders' Evacuation During the 2025 Los Angeles Wildfires

Abstract

Urban wildfires require large-scale evacuations where many populations may rely on public transit. Wildfire evacuation research has largely focused on car-based evacuations, limiting empirical understanding of evacuation needs for people with limited or no car access. This study examines evacuation mode choice among transit riders during the January 2025 Palisades and Eaton wildfires in Los Angeles. Through a rapid-response post-wildfire survey targeting transit riders through the Transit app, we capture rich data on evacuees’ behavior along with the stated intentions of non-evacuees. Through bivariate comparison using Fisher’s exact tests and binary logit models, we leverage this survey data to uncover novel findings about transit riders’ evacuation behavior. Results indicate that evacuation mode choice largely reflected pre-fire mobility patterns, with prior use strongly predicting evacuation behavior. Nearly half of evacuees relied on rides from friends or family – substantially more than anticipated – highlighting the central role of informal mobility networks during fast-moving wildfire events. Transit-based evacuation was disproportionately concentrated among low-income and racial/ethnic minority riders, suggesting that structural inequities shape feasible protective actions. These findings suggest that evacuation planning in dense urban regions must move beyond assumptions of universal vehicle access and explicitly account for mobility constraints and informal ride networks under extreme conditions.

published journal article

Evacuation and Transportation Barriers Among Vulnerable Populations in Natural Hazard-Related Disasters: A Scoping Review

Abstract

Natural hazard-related disasters such as wildfires, hurricanes, earthquakes, and floods pose significant risks to older adults, individuals with disabilities, and those with chronic health conditions. Transportation-related challenges during and after evacuation can severely impact their safety, mobility, and recovery. This scoping review examines the current evidence to identify research gaps and inform strategies to improve evacuation outcomes and long-term resilience for these at-risk groups. Four key areas of concern were identified: (1) immediate transportation barriers during evacuation, (2) prolonged transportation disruptions post-disaster, (3) anticipated logistical challenges in future evacuation planning, and (4) inconsistent and inaccessible communication of transportation-related information during emergencies. These challenges intersected with all five STEPS dimensions. Transportation barriers remain a persistent and under-addressed risk factor in disaster contexts for vulnerable groups. The STEPS framework helped reveal the multidimensional nature of these issues, emphasizing the need for integrated planning, assistive transport options, inclusive communication systems, and stronger public–private coordination.

policy brief

Affordable Carsharing in Urban Contexts: Lessons from Richmond’s Pilot Program

Abstract

In the US, access to a personal vehicle is often essential for getting to work, school, healthcare services, shopping, and other daily needs. To expand mobility options and reduce greenhouse gas emissions, several states have launched publicly supported electric vehicle (EV) carsharing pilot programs. These programs aim to provide affordable, low-carbon transportation options to households that cannot afford to own a vehicle.
Míocar, a nonprofit carsharing service, has implemented successful pilots in rural and suburban communities in California’s San Joaquin Valley. In 2022, it expanded its service to the urban environment of Richmond, California by coordinating with the City of Richmond to implement a total of six carshare hubs, three of which are still operational as of 2025. The research team studied the Richmond pilot service using member surveys, vehicle use data, and interviews with Míocar staff to understand how well the model translated to a denser urban setting and what lessons could guide future deployments.

policy brief

How Amenities Can Improve the Business Case for Fast Charging Infrastructure

Abstract

Public DC fast charging infrastructure is expanding across California and remains supported by public funding. Many charging stations face challenges becoming financially sustainable, and some are located in areas that lack the amenities drivers want while they wait for their vehicles to charge. As California continues to invest in charging infrastructure to support EV adoption, understanding what drivers do while at fast chargers, and whether they visit and spend money in nearby businesses, can help inform decisions about infrastructure deployment and could improve the business case for DCFC. To better understand EV drivers’ activities at DC fast chargers, the research team surveyed 3,350 EV drivers in California. The survey examined what drivers do while charging, what they spend money on during charging sessions and how much, which amenities they prefer to have nearby, and how they describe their overall charging experience.

policy brief

Investigating Unmet and Difficult Travel in Underserved Communities in California

Abstract

Residents of disadvantaged, low-income, rural, and tribal communities—collectively referred to as underserved communities—often face transportation barriers resulting from decades of car-oriented planning. This has left lower-cost modes such as public transit, walking, and cycling unsafe or unavailable, resulting in widespread travel difficulties and unmet mobility needs that are challenging to measure. To understand how people are navigating these challenges, the research team surveyed 2,892 residents from underserved communities in California. Centering the experiences of people often underrepresented in travel behavior surveys, this study provides insights into the main factors linked to difficult or unmet travel, how people adapt to these challenges, and the barriers they face. The findings provide evidence to inform the design of equitable transportation solutions that can improve mobility and access for California’s Priority Populations—groups that are State priorities for investments in improving health, air quality, and access to economic opportunities.

policy brief

Decarbonizing Heavy-Duty Transportation Modes with Electricity, Biofuels, and Hydrogen

Publication Date

April 21, 2026

Author(s)

Abstract

Heavy-duty transportation modes including trucks, buses, and seaport and airport equipment are relatively hard to decarbonize because of their demanding performance requirements and other factors. The California Scoping Plan for Achieving Carbon Neutrality calls for carbon-neutral transportation across all modes by 2045, with different sectors reaching 100% zero-emission vehicle (ZEV) sales by earlier dates, depending on the type of vehicle. Creative strategies are needed to help incentivize fleets to adopt the lowest emission truck, bus, and other equipment technologies, given their relatively higher capital and fuel costs. These policies might include offering enhanced incentives through the state Heavy-Duty Vehicle Incentive Program, truck “feebates,” adopting indirect-source rules that target high-traffic areas with the most pollutant generation and impact, and others. Recent research at the UC ITS highlights key issues and concerns and offers insights into the potential near- and longer-term solutions to address GHG and other pollutant emissions from these important sectors.

policy brief

From Data to Decisions: A Road Prioritization Framework for Resilience, Risk, and Fairness

Abstract

Ensuring the resilience of urban road networks is essential for public safety and economic stability, especially in cities like Los Angeles that face frequent natural hazards, such as earthquakes, wildfires, and flooding. When making capital investments in such environments, it is equally important to consider fairness in both the decision-making process and its outcomes. In this research study, the research team developed a data-driven framework and implemented it using a web-based software tool to identify priority road segments for investment. To do this, the researchers rated individual roads on several key attributes, including the importance of the road in the network, level of physical deterioration, and hazard risks such as steep slopes or flood-prone areas. The team complemented publicly available data on roads and their attributes with fine-grained “hyperlocal” geospatial information from sensors. Finally, the researchers considered equity by applying socioeconomic indicators of roadway users, which prioritizes roadway segments most likely to benefit vulnerable communities. The research team applied this tool to the Hillsides area of Los Angeles. The result is a comprehensive framework and a powerful tool for guiding infrastructure improvements that are both equitable and resilient.

policy brief

How Did Travel Change after COVID-19? Insights from Northern California Megaregion

Abstract

The COVID-19 pandemic greatly changed how people live, work, and travel. These changes influenced travel habits, public transit use, and transportation funding across regions. However, these effects were not the same everywhere; some areas faced major, lasting disruptions, while others experienced smaller impacts and recovered faster. Recognizing these differences is crucial for transportation agencies and policymakers as they prepare for future uncertainties and limited resources. In a large and diverse region like the Northern California Megaregion, with about 13 million people, understanding how and why travel patterns shifted among different communities can help improve long-term planning and system resilience.

website

Human-Autonomy Teaming and Takeover Performance in Automated Driving Systems

Abstract

This website represents research led by Dr. Camila Correa-Julian at the UCLA Risk Sciences Institute, to explores how human drivers and vehicle automation systems interact during takeover events in Level 3 ADS, when responsibility for driving shifts from the system back to the human driver. This is a web page for sharing insights on this research and the publications.