published journal article

Induced Vehicle Travel in the Environmental Review Process

Abstract

If we expand roadway capacity, more drivers will come, or so economic theory suggests and a substantial body of empirical research now shows. Despite strong evidence, the “induced travel” effect is often ignored, underestimated, or misestimated in the planning process, particularly in the assessment of the environmental impacts of roadway capacity expansions. Underestimating induced travel will generally lead to an overestimation of the traffic congestion relief benefits a highway expansion project might generate, along with an underestimation of its environmental impacts. A major reason that induced travel tends to be underplayed in environmental analyses is that travel demand models do not typically include all of the feedback loops necessary to accurately predict the induced travel effect. We developed an online tool, based on elasticities reported in the literature, to facilitate the estimation of the induced vehicle travel impacts of roadway capacity expansion projects in California, with potential future expansion to other geographies. We describe the tool, apply it to five case study highway capacity expansion projects, and then compare the results with the induced travel estimates reported in the environmental impact analyses for those projects. Our results suggest that environmental analyses frequently fail to fully capture the induced vehicle travel effects of highway capacity expansion projects.

conference paper

Characteristics and Experiences of Ride-Hailing Drivers with Electric Vehicles

Abstract

Electrification of transportation network companies (TNCs), such as Uber and Lyft, presents possible paths to increased social benefits from reduced vehicle emissions and enhanced implementation of renewable electricity as well as private benefits to drivers via reduced vehicle fuel and maintenance costs compared to conventional vehicles. We conducted a survey of plug-in vehicle (PEV) drivers on the Uber platform in the US. This paper describes these drivers and their experiences driving PEVs on TNCs to further our understanding of barriers to PEV adoption among TNC drivers and identify strategies to promote further adoption.

research report

Assessing the Variation of Curbside Safety at the City Block Level

Publication Date

June 1, 2020

Author(s)

Aditya Medury, Offer Grembek, Dimitris Vlachogiannis

Abstract

Investigating the dynamics behind the likelihood of vehicle crashes has been a focal research point in the transportation safety field for many years. However, the abundance of data in today’s world generates opportunities for a deeper comprehension of the various parameters affecting crash frequency. This study incorporates data from many different sources including geocoded police-reported crash data, curbside infrastructure data, and socio-demographic data for the city of San Francisco, CA. Findings revealed that the GFMNB model provides a better statistical fit than the FMNB and NB models in terms of AIC and log-likelihood, while the NB model outperformed both mixture models in terms of BIC due to the model complexity of the latter. Among the significant variables, TNC pick-ups/dropoffs and duration of parked vehicles were positively associated with segment-level crashes.

conference paper

Millimeter Wave Data Networking for Autonomous Vehicle Systems

Abstract

Vehicles that travel on a multi-lane highway issue data packets that are to be disseminated over a targeted geographical span. A roadside infrastructure consists of Roadside Units (RSU) that are connected by point-to-point links. We develop RSU-aided and V2V-based millimeter wave (mmWave) packet dissemination algorithms. We develop FDMA/TDMA-based spatial reuse scheduling schemes for sharing communications links in the system. System parameters include inter-RSU and inter-vehicular distance ranges, transmit power levels, antenna beamwidth values, and spatial reuse factors. We study the delay throughput performance behavior of the system. We characterize the magnitude of attainable performance enhancement as the density of the RSU infrastructure is increased. Also, we show that under an RSU density that is higher than a demonstrated level, and under strict message delay requirements, critical messages will experience much lower delays under the RSU-aided scheme. When lower-priority non-critical data flows are involved, we note the two algorithms yield similar throughput capacity levels.

policy brief

Defining Sensitive Communities Under SB 50

Abstract

In this brief, we analyze the coverage of the definition of “sensitive communities” that was included in the March 2019 revisions to theSB 50 bill language – we call this the “SB 50 Sensitive Communities” definition. We also present analysis of two alternative metrics –California SB 535’s definition of “Disadvantaged Communities” and the U.S. Department of Housing and Urban Development’s “Racially/Ethnically Concentrated Areas of Poverty” (R/ECAPs) –as comparison points. We present these comparisons as a way to discuss how different definitions influence which places would bedesignated as sensitive communities, rather than to recommend one definition over another. Developing an empirical metric to identify sensitive communities is complicated, as there is no one factor that perfectly measures vulnerability to displacement and marginalization, especially when one considers the diversity of places in California. This brief is thus designed to provide stakeholders with information about the currently proposed definition, as well as to highlight questions related to the provision’s implementation. The brief is accompanied by an interactive map,which allows stakeholders to see how the different definitions play out in their own communities.

policy brief

Transit Blues in the Golden State: Analyzing Recent California Ridership Trends

Abstract

Transit ridership in California is on the wrong track. Patronage plunged staggeringly, from 50% to as much as 94%, during the first half of 2020 amidst the worst global pandemic in a century. While such ridership losses are extraordinary — and hopefully short-lived —all was not well for public transit in the 2010s either. Despite spending billions since 2000 to improve and expand public transit across the Golden State, ridership mostly lagged for six years leading up to the extraordinary events of 2020. Researchers at UCLA have been examining these pre-pandemic ridership doldrums and what might be behind them, in the hopes of elucidating how transit agencies can best emerge from the public health crisis.

policy brief

Clean Air in Cities: Impacts of the Layout of Buildings in Urban Areas on Pedestrian Exposure to Traffic-Related Pollutants

policy brief

Electric Bike-share in the Sacramento Region is Replacing Car Trips and Supporting More Favorable Attitudes Towards Bicycling

Abstract

Bike-share services have rapidly expanded in cities worldwide and attracted substantial ridership, especially as electric and dockless bike- and scooter-share services have entered the market. These services have the potential to offer a healthier and more environmentally sustainable mobility option if used as an alternative to car travel and a connection to transit. However, little is known about the influence of bike-share systems on individual travel behavior; particularly if bike-share trips are replacing vehicle trips and increasing transit use. To address this knowledge gap, researchers at the University of California, Davis surveyed Sacramento-area residents before and after the 2018 implementation of a JUMP/Uberoperated dockless electric bike-share program to examine how the micromobility service influenced general travel behavior and attitudes. Surveys were sent to residents in downtown Sacramento, West Sacramento, and Davis within the bike-share service area and to a control group in Sacramento outside the service area. Key findings from the research are summarized in this brief.

dissertation, thesis, or capstone

Changing Plans: Flexibility, Accountability, and Oversight of Local Option Sales Tax Measure Implementation in California

policy brief

Upzoning Under SB 50: The Influence of Local Conditions on the Potential for New Supply

Abstract

In this brief, the researchers explore what might happen were SB 50 to pass by taking a detailed look at local market conditions in four case study neighborhoods. Local context shapes financial and physical feasibility. When SB 827, the predecessor to SB 50, was under consideration, estimates of its impact on new housing supply were optimistic. Yet, most of these estimates focused on aggregate development potential and did not consider the on-the-ground reality of other zoning provisions that may influence development, what types of projects might pencil out, or what the existing stock looks like.