University of Washington

Are We Ready? Evaluating Evacuation Preparedness, Behavior, and Vulnerability During Wildfires in Washington

As wildfires intensify across the western United States, communities in the wildland-urban interface face growing risks to life, infrastructure, and mobility. Wildfire evacuations, often occurring under rapidly changing conditions with limited warning, require coordinated responses informed by real-world human behavior. However, current evacuation planning models often rely on assumptions that do not reflect the variability […]

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Opportunities and Limits of Individual Behavioral Changes: Phase I

Individual travel behavior changes such as changing from driving to non-car-based modes of transportation can have overarching implications at the system level in reducing congestion and improving the mobility for all. And yet, individual behavioral changes are hard due to a variety of personal and system-level factors. Efforts to change individual travel behaviors have been

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Real-Time Transportation Origin-Destination Demand Estimation Using Multimodality Data

Real-time origin-destination (OD) demand estimation is essential for urban transportation management, enabling responsive traffic control, dynamic transit scheduling, e-hailing services, and emergency operations. Traditional OD estimation methods rely heavily on traffic sensor data and statistical modeling; but the limited coverage of sensors in most cities poses a significant challenge. Emerging data sources—such as mobile trajectories

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Disabled Parking CV: Scalable Methods to Analyze Disability Parking Using Computer Vision and High-Resolution Aerial and Streetscape Images

People with disabilities disproportionately rely on public transportation to access employment, education, and healthcare services; however, public transit is not always available or equally distributed, which excludes social and community participation (Bascom & Christensen, 2017). Car transit is thus the only viable alternative. Since the Americans with Disability Act (ADA) of 1990, 4-8% of public

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Quasi-Sparsity in Transportation Origin-Destination Demand

Quasi-sparsity (QS) indicates that for a large-scale transportation network, most origin-destination (OD) demands are concentrated on a small fraction of the OD pairs, while majority of the OD pairs exhibit small (maybe non-zero) travel demands. One example is the King County network (the area that includes the City of Seattle in the State of Washington):

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Travel Behavior Data (TBD) Hub

In an era characterized by transformative shifts in demographics, lifestyles, work patterns, technological advances, societal values, and climate and environmental conditions, decision-makers are now confronted with ever-increasing, multifaceted uncertainties. The TBD National Center has launched a flagship initiative, called the TBD Hub, to provide transportation decision-makers information and deep insights about the state of the

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The Differential Accessibility Effects of Work from Home: Travel Behavior Outcomes and Broader Transportation Implications

Researchers have long examined the potential effects of telework on the geography of opportunity within metropolitan areas. While telework can increase access to certain job markets, it may also contribute to the decentralization of employment and population, fostering more spatially dispersed patterns of metropolitan growth. As jobs and services become more widely distributed, the central

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A Pilot Study to Integrate Mobility Data Collection APPs with Personalized Recommendation Systems

Recent years have witnessed many efforts to use smartphones to collect travel data. Typical examples include the automatic collection of sensor data such as location, accelerometer, or microphone readings, and personalized recommendation/behavior modification by gamifying travel and providing incentives for particular mode choices or building route choice models for active transportation modes such as bicycling.

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The Effects of Street Repurposing on Pedestrian, Vehicle and Visitor Patterns

COVID is a crisis that is unanticipated both in its occurrence and also its length of impact. In the early days, many office employers implemented work-from-home policies while retail businesses shuttered, leading to deserted downtowns across the country. Yet crisis is also an opportunity, and municipalities and businesses innovated in response to the fears of

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