research report

Travel Demand Modeling Methodology Recommendations for the Link21 Program

Abstract

This project aims to provide recommendations on the methodology and design specifications for the travel demand model to be built for the Link21 program in the Northern California megaregion. The Link21 program is a major rail investment program that will considerably improve and upgrade the passenger rail services in the Northern California megaregion, centered around the Transbay Corridor between Oakland and San Francisco in the San Francisco Bay Area. To support this effort, the research team reviewed the current and potential travel markets for the Link21 program, assessed the available travel demand models that could be used to support the modeling efforts for the Link21 program, and conducted interviews with experts from academic institutions, metropolitan planning organizations, state and federal agencies, and US DOE national labs. Considering the goals and objectives of the Link21 program, a list of 20 critical, important, and optional modeling features were identified, which should be considered for the Link21 program. The research team reviewed 11 existing travel demand models based on the evaluation of their modeling features and presented four proposed modeling approaches that could be considered to support the Link21 program. For each modeling approach, the research paper summarizes the pros and cons in terms of fulfilling the requirements of the Link21 program. The four modeling approaches include: 1) building on the Metropolitan Transportation Commission (MTC) TM 2.1 regional travel demand model without a dedicated long-distance travel model component; 2) building on the Metropolitan Transportation Commission TM 2.1 regional travel demand model with a dedicated long-distance travel model component; 3) building on the San Francisco County Transportation Authority (SFCTA) regional travel demand model with or without a dedicated long-distance travel model component; and 4) building on the California High-Speed Rail (CHSR) or the new statewide rail model that is currently under development. The study also discusses some sources of uncertainties that might affect future travel demand and the modeling practice in the Link21 regions. These include the impacts of the COVID-19 pandemic on work patterns and activity/travel choices, the introduction of shared mobility services, micro-mobility, the potential deployment of Mobility as a Service (MaaS) solutions, and the forthcoming deployment of connected and automated vehicles (CAVs). Given the complexity of the Link21 program and the requested 18-month timeline for developing a new travel demand model to support the program, the team recommends that the model development for the Link21 program be built on an existing modeling framework and adopt a modular system, which can be updated over time. An initial model release would become available in the proposed timeline of 18 months, while future updates and improvements in the model components could be added to future model updates. This process also would be well-suited to address eventual modeling issues that could arise with the initial model release, and it would benefit from the development and updates of other models in the Northern California megaregion that are being carried out in parallel.

policy brief

Professional Drivers: Automobile Debt and Pandemic Financial Support

Abstract

While a majority of Californians drive to work, a smaller share drive for work. Taxi drivers and gig economy drivers for app-based ride-hail and delivery firms move passengers, food, and groceries, sometimes as part-time jobs. Chauffeurs, truckers, and shuttle and bus drivers also ply California’s roads as integral parts of the state’s personal and goods surface transportation system. Across these driving occupations, drivers have varied but often precarious livelihoods, especially those who take on debt to obtain the very vehicle they use for work.Three primary data sources — credit data from the University of California Consumer Credit Panel (UC-CCP), unemployment claims data, and small business loan and grant data — suggest some important facts about the financial conditions of those who drive for a living, both before and during the COVID-19 pandemic. However, the available data sources examined leave significant gaps.Broadly speaking, a driver can work for a firm under two legal relationships: as an employee or as an independent contractor (also called “gig work,” “freelancing,” etc.). For ride-hail drivers, delivery drivers and truckers, battles over this distinction and the legal protections that hinge on it have occurred in the courts, at the ballot box, and in protests and organizing campaigns in California in recent years. Meanwhile, across classifications, some drivers work full-time, while others use driving as supplementary income or as one of many jobs. The findings below capture each type of driver, to different degrees.

policy brief

Automated Vehicle Technology Has the Potential to Smooth Traffic Flow and Reduce Greenhouse Gas Emissions

Abstract

In an ideal world, all cars along a congested roadway would travel at the same constant average speed; however, this is hardly the case. As soon as one driver brakes, trailing cars must also brake to compensate, leading to “stop and go” traffic waves. This unnecessary braking and accelerating increases fuel consumption (and greenhouse gas emissions) by as much as 67 percent.1 Fortunately, automated vehicles (AVs) — even Level 2 AVs2 which are commercially available today — have the potential to mitigate this problem. By accelerating less than a human would, an AV with flow smoothing technology is able to smooth out a traffic wave, eventually leading to free-flowing traffic (See Figure 1). To demonstrate the potential of flow smoothing on reducing greenhouse gas emissions, researchers at UC Berkeley used a calibrated model of the I-210 freeway in Los Angeles to simulate and measure the effect of deploying different percentages (10%, 20%, 30%) of flow-smoothing AVs on the average miles per gallon (MPG) of non-AVs in the traffic system.

policy brief

Cutting Emissions from Aviation: Is High-Speed Rail the Answer?

Abstract

Per passenger trip, aviation is the most greenhouse gas-intensive mode of transport for intercity travel in California, but there is no clear pathway for decarbonizing this sector. While electrification proves to be the dominant pathway toward decarbonizing ground travel, this pathway is not technically feasible for commercial air travel, at least with currently available technologies.While planners and policymakers wait for breakthroughs in fueling technologies, reducing greenhouse gas (GHG) emissions from aviation will require shifting trips from the air to less GHG-intensive modes of transportation. The California High-Speed Rail project can serve this function, but funding for the full route of the Phase 1 segment⁠ — spanning from Southern California to the San Francisco Bay Area — remains unallocated. In light of the high-speed rail project’s precarious funding status, more information is needed about the potential benefits of the proposed rail network, especially in the wake of the COVID-19 pandemic, which has exacerbated uncertainty around future travel demand.To address this need, UCLA Luskin Center for Innovation staff synthesized recent literature on the environmental and economic impacts of high-speed rail (HSR) projects from around the globe (Table 1). The synthesis looked at studies that examined the effect of HSR on at least one of the following metrics: GHGs, local air pollution, noise, economic value added, employment, property values, societal cost savings, and economic integration. The synthesis also looked at the conditions under which HSR leads to net benefits, so as to potentially reproduce those conditions in California.

research report

Professional Drivers: Automobile Debt and Financial Support During the COVID-19 Pandemic

Abstract

This report 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 tend 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.

research report

Development of a Logistics Decision Support Tool for Small and Medium Companies to Evaluate the Impacts of Environmental Regulations in California

Abstract

Satisfying the demand for goods requires the movement of commercial and private vehicles, which are responsible for multiple negative impacts including noise, emissions, and traffic congestion. While efficiency is crucial for sustainable and profitable freight transportation, operations are typically inefficient with respect to emissions and social impacts. The reasons for such inefficiency are diverse, including the need for several attempts to complete a delivery and the under-usage of vehicle capacity. The arrival of zero-emission and near-zero-emission medium- and heavy-duty vehicles may reduce (tailpipe) emissions. Multiple government agencies have supported the development and promotion of cleaner vehicles through strategies such as economic incentives to support purchases and disincentives to using internal combustion engine vehicles. However, small- and medium-sized companies face challenges in adopting cleaner vehicles, either because of high purchase costs or because the volume of their operations may not justify the expense. To address this issue, this work evaluates cooperative strategies between noncompeting companies that would exploit economies of scale through the sharing of vehicle capacities in joint routing. The work develops a decision support tool named Cargo Aggregator Beta 1.0, which provides companies willing to cooperate with an efficient joint route to pick up and deliver cargo from different origins and destinations. The tool, based on an extension of the vehicle routing problem, allows users to consider different vehicle capacities, decide on charging and/or refueling points, consider multiple depots, and guarantee the completion of all deliveries in a general time window. The tool can be used to better understand the impact of sustainability policies that would limit the amount of pollutant emissions generated or policies that seek to restrict fleet composition. Numerical analyses using study cases in California show the potential benefits of implementing these collaborations in reducing both costs and emissions.

research report

Travel Behavior Impacts of Transportation Demand Management Policies: May is Bike Month in Sacramento, California

Abstract

Active modes of transportation like bicycling and walking are extremely beneficial to society, including helping to reduce the amount of travel people may make by car (i.e., vehicle miles traveled) and in turn reducing congestion and transportation-related greenhouse gas emissions and air pollutants. Bicycling and walking also have direct and positive health impacts. Several steps have been taken to promote active transportation in cities and regions, including awareness campaigns, transportation demand management policies, building new bicycling infrastructure, and the launch of bike-sharing programs. However, it is often unclear how much impact a specific strategy can have on actual rates of bicycling and walking in a community or region. UC Davis assisted the Sacramento Council of Governments (SACOG) in evaluating the impact of the agency’s “May is Bike Month” campaign. The purpose of the campaign is to motivate residents working and/or living in the region to start using (or increase the use of) bicycles as a mode of transportation. SACOG conducted a survey as part of the 2018 “May is Bike Month” campaign, which collected self-reported information from participants on the frequency of bicycling before and after the campaign, perceived barriers to bicycling, motivations for bicycling, travel habits, household and individual sociodemographic, and place of residence. UC Davis analyzed the survey data to better understand the role of land use characteristics and transit accessibility in bicycling rates. This information will be used to understand the variables that affect individuals’ decisions to increase, decrease, or not change bicycling levels during and after the “May is Bike Month” campaign. This project helps SACOG identify the groups which are most and least receptive to the campaign, and the ways these groups of individuals have reacted (in terms of changing their bicycling behavior) in response to the campaign. SACOG can use this information to make strategic changes to its annual “May is Bike Month” campaign in order to optimize the campaign’s effectiveness in future years, and/or coordinate the campaign with additional initiatives to promote bicycling in the Sacramento region.

research report

An Assessment of how State and Regional Transportation Agencies Advance Equity in Transportation Plans, Processes, and Implementation

Abstract

To provide California with recommendations for how to advance transportation equity, this study examines how state departments of transportation and metropolitan planning organizations (MPOs) are implementing equity-based planning. The research team conducted a content analysis on the long-range transportation plans (LRTPs) and active transportation plans of six state departments of transportation, and the long-range transportation plans and federal transportation improvement documents of six California metropolitan planning organizations to identify equity practices and performance measures in those plans. They also interviewed representatives from five state departments of transportation to identify methods the organizations are using to advance equity. Every organization acknowledged the importance of considering equity, but the nature and degree to which equity practices were implemented varied considerably. Outreach and engagement were the most common equity practices. Many departments of transportation had developed or were developing performance metrics for equity, but several lacked appropriate disaggregate data to identify effects on people of color or other marginalized population groups. Few organizations explicitly identified how equity was guiding decision-making in their plans. Innovative practices included establishing listening sessions to define transportation equity, centering public health in decision-making, developing creative ways to direct funding to the neediest communities, and institutionalizing equity through leadership positions or bottom-up decision-making within functional areas.

presentation

Transportation Research Board Conference 2022

Publication Date

January 5, 2022

conference paper

A Longitudinal Analysis of the Heterogeneous Changes in Travel Behaviors in Response to the COVID-19 Pandemic in the United States

Abstract

The COVID-19 pandemic has caused a huge disruption worldwide with direct and indirect effects on travel behavior. In response to extensive community spread and potential risk of infection, during the early stage of the pandemic, many state and local governments implemented non-pharmaceutical interventions that restricted non-essential travel for residents. This study evaluates the impacts of the pandemic on mobility by analyzing micro panel data (N = 1,274) collected in the United States via online surveys in two periods, before and during the early phase of the pandemic. The panel makes it possible to observe initial trends in travel behavior change, adoption of online shopping, active travel, and use of shared mobility services. This analysis intends to document a high-level overview of the initial impacts to spur future research to dive deeper into these topics. With the analysis of the panel data, substantial shifts are found from physical commutes to teleworking, more adoption of e-shopping and home delivery services, more frequent trips by walking and biking for leisure purposes, and changes in ride-hailing use with substantial variations across socioeconomic groups. The social and environmental implications of these findings are discussed and suggestions for effective policy and directions for future research are made in the conclusion.