Measuring Changes in Air Quality from Reduced Travel in Response to COVID-19

Status

Complete

Project Timeline

May 1, 2020 - March 31, 2022

Principal Investigator

Project Summary

The major source of oxides of nitrogen (NOx) that produce ground-level ozone (O3) come from mobile sources. Model calculations and ambient measurements both suggest that major California cities are currently in a “NOx-limited” regime where decreasing NOx concentrations lead to higher O3 concentrations, making current emissions control programs counter-productive in the short term. Shifting traffic patterns associated with COVID-19 may have reduced NOx emissions from mobile sources by more than ~50% in densely populated urban areas in California. This “natural experiment” provides an opportunity to (i) test the ability of models to simulate O3 response to deep cuts to ambient NOx concentrations, (ii) more accurately predict the amount of NOx reduction needed to achieve O3 benefits, and (iii) improve confidence in the long-term benefits of emissions control plans. This project will collect air pollution measurements using a modular transportable smog chamber in urban locations adjacent to major freeways in the City of Sacramento and the City of Redlands both during and after COVID-19 stay-at-home orders. The project team will then use chemical transport models (CTMs) to predict O3 concentrations during the time period when COVID-19 shelter-in-place mandates have greatly reduced NOx emissions from mobile sources. Predictions will be compared to the actual air pollution measurements collected. The ability of the modeling systems to accurately predict ambient ozone concentrations in the presence of these large emissions perturbations will verify the completeness of the model chemical mechanism, the accuracy of the model emissions inventory, and the effectiveness of emissions control programs that seek to reduce O3 concentrations by reducing NOx emissions. The evaluated modeling systems will be used to predict how O3 concentrations respond to a range of NOx and volatile organic compounds emissions controls and predict how much further NOx emissions need to decrease in order to achieve O3 benefits and in what year those O3 benefits will start to appear.

Assessing Temporary and Long-Lasting Impacts of the COVID-19 Pandemic on Travel in California

Status

Complete

Project Timeline

May 1, 2020 - March 31, 2023

Principal Investigator

Project Team

Campus(es)

UC Davis

Project Summary

During the early months of the pandemic, stay-at-home orders and concerns about infection catalyzed a shift toward online activities, such as remote work and e-shopping, resulting in a significant decrease in conventional travel. However, as the effects of the pandemic diminished, the pandemic-induced online activities began to subside, and conventional travel started to rebound.

This project conducted four waves of mobility surveys in California between Spring 2020 and Fall 2023. Key findings from the analysis of these data reveal that remote work and a combination of remote work and physical commuting (i.e., hybrid work) emerge as an enduring outcome of the pandemic. Another key finding points to socio-demographic factors such as work status, income level, and work arrangements being associated with household vehicle ownership changes and individual vehicle miles traveled (VMT). In particular, an increase in commute frequency reduces the likelihood of vehicle shedding (i.e., getting rid of a vehicle), while amplifying the likelihood of vehicle acquisition. In the meantime, remote workers exhibit lower commuting VMT but higher non-commuting VMT compared to hybrid workers.

What travel modes do shared e-scooters displace? A review of recent research findings

Status

Complete

Project Timeline

July 1, 2020 - June 30, 2021

Principal Investigator

Project Team

Kailai Wang

Induced Travel Calculator Technical Assistance

Status

Complete

Project Timeline

April 1, 2020 - October 31, 2020

Principal Investigator

Project Team

Campus(es)

UC Davis

Carbon Neutrality Study 1: Driving California’s Transportation Emissions to Zero

The Influence of Housing Characteristics on Complex Travel Behavior

Status

Complete

Project Timeline

January 1, 2020 - December 31, 2020

Principal Investigator

Project Team

Campus(es)

UC Irvine

Project Summary

UPDATED ABSTRACT: Recent California policy discussions suggest that the travel impacts resulting from strategies for housing growth are not well understood, in part because metropolitan growth has always occurred according to local zoning and land use plans. Fundamental alterations of local planning guidelines, in turn, have unknown transportation impacts. This project reviewed and synthesized policy and academic literature on housing-and-transportation linkages. The project team then applied a process developed in related research to categorize tour-based travel patterns and related these to household characteristics. The project team established connections between household tour behavior and residential variables, which were used to classify types of travelers. The focus of this research was on users of public transit and ride hailing services.

The Causes and Consequences of Local Growth Control: A Transportation Perspective

Status

Complete

Project Timeline

October 8, 2019 - October 7, 2020

Principal Investigator

Project Team

Campus(es)

UC Irvine

Project Summary

This project will synthesize two sets of studies concerning the causes and consequences of local growth control focusing on implications for transportation and the unique context of each study. The first set of studies addresses the determinants of local growth controls and the circumstances under which a locality is likely to adopt relatively restrictive land use regulations. This body of work includes municipality-level analyses of the determinants of growth control and investigations of voting patterns on growth control measures and relevant issues. The second body of research to be reviewed is related to how limited housing supply (due to growth control and/or other regulatory barriers) affects household residential location and travel patterns. This body of work covers empirical research on the impact of inelastic housing supply on population distribution and resultant transportation outcomes as well as studies on broader transportation challenges that arise due to regulatory barriers to housing development and forces behind them.

Understanding the Impact of Housing Costs in California on Commute Length in Terms of Travel Time and Distance

Status

Complete

Project Timeline

October 6, 2019 - October 5, 2020

Principal Investigator

Project Team

Md. Rabiul Islam

Campus(es)

UC Irvine

Project Summary

Concerns about the environmental impacts of transportation have turned reducing vehicle-miles traveled (VMT) into a policy priority. One way to decrease VMT is to reduce the length of commuting trips. Unfortunately, the average U.S. commute keeps getting longer. Prior research has investigated the determinants of commuting, but few have analyzed the linkage between housing costs and the length of commuting. This problem is especially salient in California given the state’s perennial housing shortage and the high costs of housing, which have forced many lower- and middle-class households to move inland in search of more affordable housing at the cost of longer commutes. Most of those commuting trips are by car. This project investigates these linkages using Generalized Structural Equation Modeling and analyzing 2012 CHTS data for Los Angeles County – the most populous county in the U.S. The model, which jointly explains commuting distance and time, accounts for residential self-selection and car use endogeneity, while controlling for household characteristics and land use around residences and workplaces. Better understanding the determinants of commuting is critical to inform housing and transportation policy, improve the health of commuters, reduce air pollution, and achieve climate goals.

Accessibility, Affordability, and the Allocation of Housing Targets to California’s Local Governments

Status

Complete

Project Timeline

October 4, 2019 - October 3, 2020

Principal Investigator

Campus(es)

UC Irvine

Project Summary

California’s Housing Element law requires the allocation of housing targets to local governments. These targets should align with long-range regional strategies to concentrate growth in transit rich areas, but little evidence exists about the effectiveness of housing allocation schemes for achieving accessibility and affordability. Indeed, there is some evidence that – to date – the law has not served these goals effectively. In 2018 California Senate Bill (SB) 828 significantly amended the Housing Element law, conferring additional authority on the California Department of Housing & Community Development (HCD) to determine housing targets. Moreover, SB 50 (introduced in 2019) proposes to require HCD to identify “jobs-rich” areas, in which local governments would be required to allow relatively dense residential development. SB 50 proposes to also raise the minimum allowable density for residential development in areas close to transit stops. State legislators and administrators have very little information to evaluate the current housing target allocation process or its interaction with the regulatory scheme contemplated by SB 50. This project would fill that gap, providing guidance for linking housing and transportation policy. This project will provide decision support for state legislators and administrators by: 1) comparing California’s housing target allocation and implementation methods to methods currently used in other states, as well as methods described in the scholarly literature; 2) comparing the possible effects of different allocation and implementation methods on job accessibility at different levels of housing affordability; and 3) identifying ways that future legislation and implementation could promote the goals of the Housing Element law related to accessibility.

Spatial Modeling of Future Light- and Heavy-Duty Vehicle Travel and Refueling Patterns in California

Status

Complete

Project Timeline

November 1, 2019 - October 31, 2020

Principal Investigator

Project Team

Tri Dev Acharya

Project Summary

There is a strong need to better understand what future fuel demand patterns and infrastructure requirements for zero-emission vehicles (ZEVs) may be in California over the next 20 years. This includes understanding the numbers of vehicles, travel patterns, refueling patterns, refueling station needs, and the implications for the energy system within California. Fuel station location and size decisions will depend on this information, as will planning for electric power, renewable natural gas, and other energy systems.This project will develop a spatial model of light- and heavy-duty vehicle travel in California to explore this issue. The study will start with two existing spatial tools: the ITS-Davis-developed prototype truck travel model, and the natural gas truck demand model. The study will conduct a first order estimation of types of refueling infrastructure locations, and how light- and heavy-duty vehicle infrastructure may or may not be co-located. Concurrently, the study will update and enhance the capabilities of the spatial and demand modeling tools to create a single tool to endogenously project the numbers of vehicles, travel patterns, and locations of refueling infrastructure. The modeling tool could also be used to evaluate geo-fencing strategies, by incorporating emissions-sensitive area information into the model.