conference paper

Latent Class Analysis of Changes in the Use of Public Transportation in The Greater Los Angeles Region during the COVID-19 Pandemic

presentation

Pavement Life Cycle Cost Analysis: The Basics

presentation

Going Places: Universal Basic Mobility Pilot Programs in California

published journal article

Estimating the travel demand impacts of semi automated vehicles

Abstract

In this study, we investigate changes in travel due to level 2 automation among owners of electric vehicles in California. Level 2 automation has the potential to reduce driver fatigue and make driving less stressful which could mean drivers choose to travel more. We use questionnaire survey data to investigate changes to long-distance travel and annual vehicle miles traveled (VMT) due to automation. Results show those who report doing more long-distance travel because of automation are younger; have a lower household income; live in urban areas; own a longer-range electric vehicle; use automation in a variety of conditions; have pro-technology attitudes and prefer outdoor lifestyles. We use propensity score matching to investigate whether automation leads to an increase in annual VMT. The results of this show 4059–4971 more miles per year among users of level 2 automation compared to owners of similar vehicles without automation.

presentation

Getting Back on Track, Policy Solutions to Improve California Rail Transit Projects

policy brief

New Metrics Are Needed to Understand the Environmental Benefits of Micromobility Services

Abstract

Micromobility services (e.g., conventional and electric bikeshare programs and electric scootershare programs) hold great potential for reducing vehicle miles traveled and greenhouse gas emissions if these services are used as substitutes for car travel and/or to access public transit. But estimating these environmental effects is challenging, as it requires measuring changes in human behavior—that is, the choice of what transportation mode to use. While many cities collect various micromobility usage metrics to regulate services, these metrics are not sufficient for calculating the sustainability benefits of these services.

research report

Micromobility Trip Characteristics, Transit Connections, and COVID-19 Effects

Abstract

While micro-mobility services (e.g., bike-share, e-bike share, e-scooter share) hold great potential for providing clean travel, estimating the effects of those services on vehicle miles traveled and reducing greenhouse gases is challenging. To address some of the challenges, this study examined survey, micromobility, and transit data collected from 2017 to 2021 in approximately 20 U.S. cities. Micromobility fleet utilization ranged widely from 0.7 to 12 trips per vehicle per day, and the average trip distance was 0.8 to 3.6 miles. The median (range) rates at which micro-mobility trips substituted for other modes were 41% (16–71%) for car trips, 36% (5–48%) for walking, and 8% (2–35%) for transit, 5% (2–42%) for no trip. In most cities, the mean actual trip distance was approximately 1.5 to 2 times longer than the mean distance of a line connecting origin to destination. There was a weak and unclear connection between micro-mobility use and transit use that requires further study to more clearly delineate, but micro-mobility use had a stronger positive relationship to nearby rail use than to nearby bus use in cities with rail and bus service. The COVID-19 pandemic led to more moderate declines in docked than in dockless bike-share systems. Metrics that would enable a better assessment of the impacts of micro-mobility are vehicle miles traveled and emissions of micro-mobility fleets and their service vehicles, and miles and percentage of micro-mobility trips that connect to transit or substitute for car trips.

policy brief

Electrifying Ridehailing: A Cross-Sector Research Agenda

Abstract

Electrifying ridehailing services provided by transportation network companies (TNCs) such as Uber and Lyft can reduce greenhouse gas emissions and air pollution) and provide cost savings on fuel and maintenance to TNC drivers. Policy levers have emerged to nudge the industry in this direction. California’s Senate Bill 1014 establishes a “Clean Miles Standard” requiring that an increasing percentage of ridehailing services be provided by zero-emissions vehicles. However, the path to achieving this goal is unclear. This brief is the last in a series on TNC electrification. It presents a research agenda identified by government and industry stakeholders, articulating what they believe are the most important questions to address to find the path to TNC electrification. This brief also highlights which perceived research needs are shared broadly and which differ across government and industry stakeholders. The aim is to facilitate a shared understanding for better research, policy, and business practices.

policy brief

Electrifying Ridehailing: Drivers’ Charging Practices and Electric Vehicle Characteristics Predict the Intensity of Electric Vehicle Use

Abstract

Electrifying ridehailing services provided by transportation network companies (TNCs) can reduce climate-altering emissions and air pollution and provide cost savings on fuel and maintenance to TNC drivers. Policy levers have emerged to nudge the industry in this direction. California’s Senate Bill 1014 establishes a “clean miles standard” requiring an increasing percentage of ride-hailing services be provided by zero-emissions vehicles such as plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs)—together referred to as plug-in vehicles (PEVs). This can be achieved by increasing the number of TNC drivers using BEVs and PHEVs, and by increasing the electric miles PHEV drivers travel.