published journal article

Integrating Autonomous Vehicles in Multimodal Peer-to-peer Shared Mobility Systems and its Network Impacts

Abstract

As public perception of sharing economy in transportation has changed, mobilephone-hailed ridesharing is gaining prominence. The key aspect of capitalizing and promoting better shared-mobility systems depends on the matching rate between the supply and demand for rides. Peer-to-peer (P2P) ridesharing systems devise higher matching rate than pure ridesharing systems by attracting more drivers. Even relaxing the spatiotemporal constraints for participants could increase the chances to be matched. However, we notice that sole P2P ridesharing systems still do not guarantee matching when the number of drivers is limited. We propose the utilization of a fleet service to cover the unmatched riders in P2P ridesharing. While it can be any type of fleet services such as taxis, Uber/Lyft, or paratransit, we explore the idea of utilizing shared autonomous vehicles as a fleet, as they can be dispatched without labor. We model an integrated system for P2P ridesharing and shared autonomous fleet vehicles (SAFVs). The proposed algorithm is designed to maximize matching ratio while optimizing the number of required SAFVs. Based on a simulated study on the northern Los Angeles, the integrated shared-mobility system is shown to have high potential to serve a high fraction of riders.

research report

A Data-Driven Approach to Manage High-Occupancy Toll Lanes in California

Abstract

Managing traffic flow in high-occupancy toll (HOT) lanes is a tough balancing act and current tolling schemes often lead to either under- or over-utilization of HOT lane capacity. The inherent linear/nonlinear relationship between flow and tolls in HOT lanes suggests that recent advances in machine learning and the use of a data-driven model may help set toll rates for optimal flow and lane use. In this research project, a data-driven model was developed, using long short-term memory (LSTM) neural networks to capture the underlying flow-toll pattern on both HOT and general-purpose lanes. Then, a dynamic control strategy, using a linear quadratic regulator (LQR) feedback controller was implemented to fully utilize the HOT lane capacity while maintaining congestion-free conditions. A case study of the I-580 freeway in Alameda County, California was carried out. The control system was evaluated in terms of vehicle hours traveled and person-hours traveled for solo drivers and carpoolers. Results show that the tolling strategy helps to mitigate congestion in HOT and general-purpose lanes, benefiting every traveler on the I-580.

research report

Cars and Chargers in the Country: Rural PEV Owner Accounts of Charging and Travel in California

Abstract

Under the Advanced Clean Cars II (ACC II) rule, California must move to 100% zero-emission vehicle (ZEV) sales by 2035. To make this transition equitable, it is important to understand how we can support ZEV adoption in all communities–including rural communities. The aim of this study is to explore the experiences and perceptions of current rural plug-in electric vehicle (PEV) owners, identify barriers to charging and ownership, and suggest factors to guide the development of infrastructure in rural areas. (PEVs include battery-electric vehicles [BEVs] and plug-in hybrid vehicles.) Semi-structured interviews were conducted with rural PEV owners and included questions related to travel behavior, at-home and public charging experiences, and motivation for household vehicle purchases. Major themes were extracted from the interviews including that PHEV owners tend to have minimal at-home and public charging requirements, while battery-electric vehicle owners require access to Level 2 charging at home and reliable fast charging in public spaces. Additionally, the magnitude of public charging reliability and availability issues appear to be greater in rural than non-rural areas. Grid reliability issues and specific vehicle requirements were also points of discussion among rural PEV owners. The findings of this report could inform policymakers, car manufacturers, and PEV charging companies to better serve rural communities in the transition to 100% PEV sales.

policy brief

Using Real-Time Crowding Data as a Rider Communication Strategy in the COVID-19 Pandemic

Abstract

In response to the COVID-19 Pandemic, many transit agencies have embraced real-time crowding data as a rider communication strategy. These data allow riders to see the current level of crowding on individual transit vehicles in real time. Most operators share these data using GTFS Realtime, an extension to the General Transit Feed Specification that already powers trip-planning applications such as Transit App and Google Maps.Offering these real-time data helps riders make informed travel choices that allow them, for example, to avoid crowded transit vehicles. However, actual implementations vary widely and may not always provide useful information to transit riders or other interested parties. This policy brief summarizes the current state of real-time crowding data in September 2020, and provides recommendations for ongoing improvements.

book/book chapter

The Drive for Dollars: How Fiscal Politics Shaped Urban Freeways and Transformed American Cities

Abstract

American cities are distinct from almost all others in the degree to which freeways and freeway travel dominate urban landscapes. In The Drive for Dollars, Brian D. Taylor, Eric A. Morris, and Jeffrey R. Brown tell the largely misunderstood story of how freeways became the centerpiece of U.S. urban transportation systems, and the crucial, though usually overlooked, role of fiscal politics in bringing freeways about. The authors chronicle how the ways that we both raise and spend transportation revenue have shaped our transportation system and the lives of those who use it, from the era before the automobile to the present day. They focus on how the development of one revolutionary type of road–the freeway–was inextricably intertwined with money. With the nation’s transportation finance system at a crossroads today, this book sheds light on how we can best fund and plan transportation in the future. The authors draw on these lessons to offer ways forward to pay for transportation more equitably, provide travelers with better mobility, and increase environmental sustainability and urban livability.

policy brief

What Does Public Health Research Tell Us About the Risks of Riding Public Transit During the COVID-19 Pandemic?

Abstract

The COVID-19 pandemic has upended how people travel
and how transportation systems function. Travel is down
across all modes in 2020, though the declines on public
transit have been greater and the recovery slower than on
other travel modes, such as private automobiles and “active”
transportation modes like biking and walking. This shift in
travel mode choice away from transit is likely explained at
least in part by would-be riders’ fears of infection during
this communicable disease outbreak because public transit
congregates people in dense and enclosed environments.
To lower the risk of infection and reduce the spread of
COVID-19, transit agencies worldwide have implemented
measures such as route and service modifications,
improved ventilation and air filtration, increased cleaning
and disinfecting, modifications of seating and boarding
protocols to ensure physical distancing, mask-wearing
requirements, and even screening riders for fevers.
The perception that public transit poses an elevated risk
for the transmission and spread of infectious diseases
influences both people’s reluctance to ride and transit
agencies’ various pandemic response measures. But is
this perception merited, and is transit “safe” to ride? Since
the beginning of the COVID-19 pandemic, this question
has been widely debated. But this is a complex issue that
defies a simple “yes” or “no” answer, as it depends on many
factors (such as ambient infection rates) beyond transit
operators’ control. As we found in our review of the public
health literature, the relative infection risk on public transit
depends not only on how transit operators respond, but
also on the particulars of the communicable disease, rider
and employee adherence to public health guidance, the trip
durations and densities of riders on vehicles, as well as the
effectiveness of the broader public health response. Thus,
arguing in the abstract about whether riding transit is safe
or dangerous during a pandemic is a bit like arguing about
the area of a rectangle knowing only the length of one side.

published journal article

State of the BART: Analyzing the Determinants of Bay Area Rapid Transit Use in the 2010s

Abstract

Peaking on public transit—the concentration of ridership in peak times and directions into and out of central areas—has waxed in the U.S. over the past century, as public transit has lost more mode share at off-peak times, in off-peak directions, and among non-commute trips. A notable pre-pandemic manifestation of this chronic problem was on Bay Area Rapid Transit, the San Francisco Bay Area’s regional heavy rail system. While BART staved off an absolute ridership decline longer than most American transit operators in the mid-and late-2010s, it did so almost entirely due to peak gains in riders offsetting off-peak losses. As a result, the system experienced worsening passenger crowding at some times and places, expanding underutilization of capacity at many others, and the prospect of enormous expenditures to accommodate rising transbay passenger demand. To examine the factors driving transit use in the 2010s, we model peak and off-peak BART trips as a function of station area and system characteristics. We uniquely use origin-destination pairs as the unit of analysis in order to separately measure influences at both ends of the trip. We find that transfers and travel time most influence peak and off-peak BART ridership and that station-area employment and time competitiveness with driving particularly influence peak patronage. Over time in our models, the associations between ridership and transit travel time weakened, while the associations between ridership and transfers, employment, and time-competitiveness with driving grew stronger. In sum, we find that the peaking problem plaguing public transit systems for decades worsened in the years leading up to the pandemic—on this one nationally significant U.S. transit system, at least—which poses potentially substantial financial challenges in the years ahead.

policy brief

Preparing for Future Airborne Pandemics: Lessons Learned from a Los Angeles Travel Case Study

Abstract

The onset of the COVID-19 pandemic in 2020 sparked conversations about how to best avoid large waves of airborne infections. A solution could save lives and avert an overwhelmed hospital system. Nonpharmaceutical interventions (NPIs) may be implemented early-on to reduce infections before pharmaceutical interventions such as vaccines are available. This study evaluated the effectiveness of NPIs including cloth masks, N95 masks, antigen testing, and reductions in contact intensities. It also compared the effectiveness of interventions implemented during all activities to only high-risk work activities.

policy brief

Micromobility and Public Transit Environmental Design Integration

Abstract

Micromobility—transportation using lightweight vehicles such as bicycles or scooters—has the potential to reduce greenhouse gas emissions, traffic congestion, and air pollution, particularly when it is used to replace private vehicle use and for first- and last-mile travel in conjunction with public transit. The design of the built environment in and around public transit stations plays a key role in the integration of public transit and micromobility. The San Francisco Bay Area is a potential testbed for innovative and adaptive transit station design features that support micromobility, since it has relatively high public transit and shared micromobility usage, as well as high micromobility usage rates for trips to and from transit. The region’s Bay Area Rapid Transit (BART) heavy rail stations are in the operation zone of seven shared micromobility operators.

policy brief

Issues and Reforms for California’s Transit Workers

Publication Date

February 1, 2024

Author(s)

Jacob Wasserman, Keenan Ky-An Do, Allie Padgett

Abstract

Public transit operators have a complex job that involves
more than just driving a vehicle. Operators collect fares,
answer questions, give directions, mind the safety of their
passengers, help passengers with disabilities, keep order,
de-escalate altercations, serve in place of a police officer
or social worker when one is not available, monitor their
surroundings while in motion, navigate stressful traffic,
communicate with supervisors, make detours as needed,
and much, much more.
This work can be rewarding, satisfying, and secure.
Frontline transit work offers a public service role with
high unionization rates, clear career progression, and the
opportunity to see many places and interact with and help
people. Transit operator and mechanic jobs may also offer
competitive pay for the work and qualifications.
However, difficult working conditions and median pay
stagnating or even slightly declining over time — especially
since the pandemic — has led some transit operators to
leave the industry. Other potential recruits have chosen not
to start a career in transit in the first place.
Many agencies across the state have faced operator
shortages in the wake of the pandemic, which have
delayed service restoration. These shortages are due to
both compensation and longstanding issues of workforce
safety, culture, and practices. This is particularly troubling
in an industry with an older-than-average workforce and
in a state where, ironically, transit operators often endure
lengthy commutes due to the housing crisis.