Projects

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The project aims to present an in-depth understanding of the public EV charging infrastructure in the present and future transportation electrification for public agencies, such as SCAG. One contribution is to provide an integrated eTranSym tool, which can simulate the travel and charging behaviors of every EV user, assess disparities in charging infrastructure distribution among communities, and predict the future demand for public charging facilities. The eTranSym tool helps prioritize underserved communities and assists the spatial-varying investment of the public charging infrastructure.

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This capstone project was completed in partial satisfaction of the requirements for the degree Master of Urban & Regional Planning at the UCLA Luskin School of Public Affairs.

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This report partially fulfills the requirements for the Master in Public Policy degree in the Department of Public Policy at the University of California, Los Angeles.

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This capstone project was completed in partial satisfaction of the requirements for the degree Master of Urban & Regional Planning at the UCLA Luskin School of Public Affairs.

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This capstone project was completed in partial satisfaction of the requirements for the degree Master of Urban & Regional Planning at the UCLA Luskin School of Public Affairs.

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This project synthesizes three primary data sources—credit data, unemployment claims data, and small business loan and grant data—to explore the financial conditions of those who drive for a living before and during the COVID-19 pandemic in California. Automobile debt was high among groups likely to contain professional drivers. The occupational categories in which many drivers fall had high absolute and relative levels of automobile debt compared to other workers. After the onset of the pandemic, unemployment rose dramatically in the transportation industry and in transportation occupations, peaking at rates higher than the national average. However, state unemployment claims data, among transportation employee claimants only, show less of a spike. Contractor drivers lived in areas with more Pandemic Unemployment Assistance claims, a special program for self-employed workers like gig drivers. Finally, contractor drivers received unprecedented but uneven federal small business loans and grants. Drivers in many areas, however, did not receive much or any of these funds, though those areas that did tended to have more residents of color. Assessing the full effect of the pandemic on professional drivers’ debt and finances will require additional and better data, particularly workforce data from gig economy firms that contract with drivers.

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The United States’ transportation workforce is currently at a skills deficit in key areas. New and innovative transportation technologies and approaches threaten to exacerbate this situation. Yet, transportation workers need more than skills to implement new technologies: they need the skills to critically determine which technologies are likely to support a thriving nation and under what conditions. Additionally, transportation workers need the skills to support non-technology-focused solutions to the nation’s transportation challenges, including cultural, political, and social change.

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This report partially fulfills the requirements for the Master in Public Policy degree in the Department of Public Policy at the University of California, Los Angeles.

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Transportation agencies use travel demand models (e.g., four-step models, activity-based models, dynamic traffic assignment models) to evaluate transportation improvement projects. However, existing travel demand models are unable to account for capacity changes of the network and mode shifts associated with connected and automated vehicle (CAV) technologies and services. This project aims to lay a foundational framework for the development of planning-level analysis capability that includes CAVs and engage in a small scale case study, toward a vision where practitioners have CAV-aware tools available. The research team will work with stakeholders in the Southern California Association of Governments (SCAG) to identify current needs in modeling CAVs and new mobility services in demand models. The project will develop methodologies to enhance the existing SCAG activity-based demand model, and the areas of enhancements include, but not limited to, capacity adjustments and new scenarios of travel behavior/choice modeling.

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This report partially fulfills the requirements for the Master in Public Policy degree in the Department of Public Policy at the University of California, Los Angeles.

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This capstone project was completed in partial satisfaction of the requirements for the degree Master of Urban & Regional Planning at the UCLA Luskin School of Public Affairs.

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As the Los Angeles Department of Transportation (LADOT) embarks on a one-year dockless mobility pilot program, both LADOT staff and the residents they serve have raised concerns over equity and access. Dockless mobility refers to dockless or free-floating bicycles, electric bicycles, and electric scooters available for short-term rental that have begun to proliferate in cities across the country. LADOT staff have permitted eight companies with an accumulated 36,000 vehicles. Because the distribution of scooters across Los Angeles neighborhoods is far from even, LADOT staff are currently using CalEnviroScreen 3.0 to identify disadvantaged communities where regulations incentivize operators to deploy their scooters. However, CalEnviroScreen 3.0 is a metric developed to identify communities likely affected by environmental injustices and as such prioritizes environmental exposure factors over those that may affect transportation access.

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To prepare for the arrival of autonomous vehicles, the Los Angeles Department of City Planning is exploring land use strategies to optimize the potential safety and the environmental and access benefits of this new technology. In this study, I draw on academic literature, analysis of city General and Comprehensive Plans, and phone interviews with planners to analyze the potential impact of autonomous vehicles on local land use.

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In 2018 electric powered shared scooters and stationless electric bikeshare proliferated throughout the United States. Many cities have begun to experiment with new permitting systems and regulations for these vehicles. To date, there is scant academic literature on how well scooter and stationless bikeshare permits have helped cities achieve their transit, sustainability, and equity goals. San Francisco was one of the first cities in the United States to create permit systems for stationless bikeshare and scooter companies. This research evaluates scooters and stationless bikeshare use as a first/last mile transit option, reductions in vehicle miles traveled (VMT), and equity of utilization. Results indicate that the two travel modes substantially support transit usage, both by connecting riders to transit and by replacing automobile trips.

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Mobility as a Service presents the opportunity to comprehensively shift how people travel – from personal vehicle ownership to a marketplace offering integrated trip planning, fare payment, and behavioral incentives. Increasingly, major private mobility providers, such as Uber and Lyft, are demonstrating their ambitions to be one-stop shops for urban mobility. Yet, when it comes to equity, accessibility, affordability, and use of public roadways, it is likely not in the best interest of the public to have purely privatized mobility. This project will help shape how public agencies should advance Mobility as a Service to help achieve societal goals. Project will research the Mobility as a Service market trends in North America and will identify key success factors of Mobility as a Service programs promoted by the public transportation authorities through in-depth interviews. Based on the analysis above, project will develop policy recommendations on how King County Metro should partner with private mobility service providers.

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Over the past 5 years, ride-sourcing platforms have experienced tremendous growth in American cities. Despite indications by recent studies that ride-sourcing vehicles substitute for vehicle travel and reduce parking demand, policymakers and academics have ignored the implications of ride-sourcing use for curb space allocation, which traditionally favors long-term vehicle occupancy. This thesis will examine whether designation of curb space for long-term vehicle occupancy induces ride-sourcing pick up and drop off activity in travel lanes through observation of curb use on two arterial corridors in Los Angeles perceived to have a high level of ride-sourcing activity. Comparative analysis of curb occupancy with the number of passengers ride-sourcing and other vehicles transport to the curb can reveal the extent to which ride-sourcing pick ups and drop offs make for a more productive use of the curb than vehicle parking (potentially justifying the re-designation of curb space used for vehicle parking as ride-sourcing pick up zone(s)).

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Researchers have been developing innovative methods for integrated traffic management and communications networking systems for autonomous transportation systems. These models provide for optimal on-ramp merging and adaptive formation of vehicular flows across highway lanes, with the goal of achieving high vehicular flow rates while reducing queueing delays. To effectively control vehicular flows and formations across the highway, researchers have developed new data communications protocols and algorithms.The research team proposes to translate its models and techniques to the design of autonomous transportation systems when aided by interconnected roadside unit (RSU) stations that form a backbone network infrastructure. The research team’s methods will be used to determine the best configuration of joint traffic management and data networking mechanisms, described by the locations and interconnection features of the RSU stations and the backbone network infrastructure that they form.

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As part of the city’s Vision Zero policy goal put forth by Mayor Eric Garcetti in 2015 to eliminate traffic related deaths on city streets, the Los Angeles Department of Transportation (LADOT) has reconfigured a number of stretches of roadway in the city, removing lanes and installing what are commonly known as “road diets.” While numerous studies have shown road diets can greatly reduce the number and severity of collisions, especially for pedestrians and cyclists, the public response to many of the changes implemented in Los Angeles has been quite negative. This negative response has largely centered on claims of large increases in congestion and travel times along the streets where the LADOT has removed lanes.To examine this issue the research team will survey existing literature on road diets and their congestion impacts, analyze before and after LADOT daily traffic volume data for a number of street segments where the city installed road diets and nearby parallel segments where no change was made, and observe current conditions of ten intersections within the selected street segments to assess potential ongoing delay and congestion in the study corridors.