book/book chapter

Unhoused on the Move: Impact of COVID-19 on Homelessness in Transit Environments

Abstract

More than half a million individuals experience homelessness every single night in the United States. The limited capacity of shelters to meet their needs is forcing many to turn to transit vehicles, bus stops, and transit stations for shelter. The pandemic only exacerbated the homelessness crisis. Fear of infection in shelters and reduced capacity due to physical distancing requirements drove more unhoused people to take shelter on the streets and also in transit settings. Although discussions in the popular media have raised awareness of homelessness in transit environments, the scale of the problem has not been well-documented in scholarly research. This chapter investigates the intersection of the pandemic, transit, and homelessness in U.S. cities, presenting the results of a survey of 115 transit operators on issues of homelessness on their systems, both before and during the coronavirus pandemic. We find that homelessness is broadly present across transit systems though mostly concentrated on larger transit systems and central hotspots, and it has worsened during the pandemic. The challenges of homelessness are deepening, and dedicated funding and staff are rare. Attempting to respond to the needs of homeless riders, some agencies have put forth innovative responses, including hubs of services, mobile outreach, discounted fares, and transportation to shelters.

published journal article

Transit Blues in the Golden State: Regional Transit Ridership Trends in California

Abstract

Public investment in transit increased following the Great Recession, yet transit use nationally mostly fell, even prior to the 2020 pandemic. We investigate this troubling disjuncture by comparing transit ridership trends during the 2010s in two of America’s largest regions: Greater Los Angeles and the San Francisco Bay Area. While both California regions lost transit riders, we see substantial differences in the scale, timing, geography, and modes of these declines. In the LA area, ridership fell longer and further, spread more across routes, times, and sub-regions, and concentrated on the region’s dominant operator. In both regions, increasing auto access appears to have played a central role, albeit in different ways. Greater LA saw increased automobile ownership, particularly among high-propensity transit riders. In the Bay Area, as jobs and housing have dispersed, ridehail services like Lyft and Uber may have eroded non-commute transit use.

published journal article

Decarbonizing regional multi-model transportation system with shared electric charging hubs

Abstract

In light of the growing concerns of global climate change, the pace of transportation electrification has greatly accelerated in recent years as an effort towards net-zero greenhouse gas (GHG) emissions. However, it remains unclear how to effectively deploy and operate public charging infrastructure to best serve an electrified transportation system within a multi-modal context while maximizing the benefits of decarbonization. This is especially true when considering the GHG emitted by generating one kWh of electricity, i.e. the electricity carbon intensity, varies across a day due to the change of generation mix between renewable and fossil-fueled resources. To address this question, we propose a mechanism of shared charging hubs that can provide holistic energy management for both electric buses (EBs) and passenger electric vehicles (EVs). The deployment and operation of shared charging hubs are determined by a new spatio-temporal optimization model which aims to minimize GHG emissions given a budget limit while avoiding the occurrence of massive spikes in peak power demand. This is achieved by coherently accommodating the charging demand of EBs and EVs, and explicitly integrating the time-varying electricity carbon intensity and vehicle-to-grid (V2G) technology. To demonstrate its effectiveness, the model is applied to the bus fleets operated by seven transit agencies and the park-and-ride facilities (for EVs) near twelve rail transit stations in Contra Costa County, California, USA. The results show that the shared charging hubs can lead to significant GHG emission reduction while mitigating the peak electricity demand. This research will help policymakers and transportation agencies make more informed decisions regarding the planning and design of charging infrastructure.

published journal article

Homelessness on Public Transit: A Review of Problems and Responses

Abstract

More than half a million people in the U.S. experience homelessness every day. Lacking other options, many turn to transit vehicles, stops, and stations for shelter. Many also ride public transit to reach various destinations. With affordable housing scarce and the numbers of unhoused individuals often surpassing the capacities of existing safety nets and support systems, transit operators face homelessness as a pressing issue on their systems and must implement policy measures from other realms beyond transportation to address it. Because of the health and safety implications for transit of the COVID-19 pandemic and the anticipated further rise in homelessness from the resulting economic downturn, studying and responding to the needs of these vulnerable travelers is critical.

We conduct a comprehensive literature review to identify articles discussing homelessness in transit systems. While only a handful of articles exist from the 1990s, there is an emerging literature in the last 20 years that examines different aspects of homelessness in transit systems. We identify and review 63 articles on homelessness in transit systems and other public settings to better understand the extent of homelessness in the U.S., and how transit agencies perceive its impacts. We also summarise literature findings on the travel patterns of unsheltered individuals, which show that public transit represents an important and common mode of travel for them. Lastly, we focus on responses to homelessness from the part of transit operators. We find two types of responses: 1) punitive, in which criminalization, policing, and enforcement of laws and codes of conduct prevail, and 2) outreach-related, which aims towards providing help and support to unsheltered individuals. We conclude by summarising our findings as well as the existing gaps in the literature.

policy brief

Connected and Automated Vehicle Technology is Not Enough; it Must also be Collaborative

Abstract

Connected and automated vehicles (CAVs) willrevolutionize the way we travel; however, what impact this revolution will have on advancing broader societal goals is uncertain. To date, the private sector technology rollout has emphasized the automation side of CAVs and neglected the potentially transformative possibilities brought by a more collaborative notion of connectivity. This may have significant downsides from a broader societal perspective. For example, CAVs (including those on the road today) collect a vast amount of data gathered through onboard systems (e.g., radar, lidar, camera), however, this data is not typically shared with other vehicles, roadside infrastructure, or public transportation agencies. This lack of collaboration will likely make traffic worse and forfeit the opportunity to manage traffic at the systems-level, which is where significant gains can be made in terms of improving traffic flow and safety, reducing greenhouse gas emissions and vehicle energy use, and more.

presentation

Used Electric Vehicle Market Study

published journal article

A Systematic Review of Life Cycle Greenhouse Gas Intensity Values for Hydrogen Production Pathways

Abstract

Hydrogen is a potential low-carbon energy carrier to replace fossil fuels, especially in industrial and transportation applications where decarbonization is particularly challenging. Hydrogen can be generated via several feedstocks and technology combinations (pathways) that result in different life cycle greenhouse gas emissions intensities, thus policies and investments intended to deploy hydrogen as a climate solution must differentiate among pathways. To collect and analyze current estimates of the life cycle greenhouse gas intensity of hydrogen pathways, a systematic scholarly literature review was conducted capturing articles published between 2018 and 2022.

The review yielded 85 studies with 492 reported greenhouse gas intensity values. Steam reforming, fossil fuel gasification, biomass gasification, and water electrolysis were the most common pathways. Analysis of the reported intensity values shows large variability among pathways due to the choice of feedstock, energy sources used, and conversion method. However, estimates within pathways also show significant variability, in some cases driven by real-world spatiotemporal or system design differences, but also arising from life cycle assessment practitioner choices regarding methods and data sources.

Despite significant variability, clear differences between hydrogen pathways can be observed. The lowest intensity pathways (∼20 gCO2e/MJ H2) correspond to those using low carbon or renewable energy. Steam methane reforming, the most common pathway, shows high emissions at nearly 110 gCO2e/MJ H2. Other promoted alternatives like electrolysis with carbon-intensive grid electricity can have even higher emissions, highlighting the need to assess pathways individually, considering feedstock, energy source, and conversion technology.

research report

Effectiveness of Nonpharmaceutical Interventions to Avert the Second COVID-19 Surge in Los Angeles County: A Simulation Study

Publication Date

August 1, 2023

Author(s)

Abigail Horn, Caroline Rodier, Ihab Kaddoura, Sebastian Muller, Yunwan Zhang

Abstract

This study used a simulation to examine nonpharmaceutical interventions (NPIs) that could have been implemented early in a COVID-19 surge to avoid a large wave of infections, deaths, and an overwhelmed hospital system. The authors integrated a dynamic agent-based travel model with an infection dynamic model. Both models were developed with and calibrated to local data from Los Angeles County (LAC), resulting in a synthetic population of 10 million agents with detailed socio-economic and activity-based characteristics representative of the County’s population. The study focused on the time of the second wave of COVID-19 in LAC (November 1, 2020, to February 10, 2021), before vaccines were introduced. The model accounted for mandated and self-imposed interventions at the time, by incorporating mobile device data providing observed reductions in activity patterns from pre-pandemic norm, and it represented multiple employment categories with literature-informed contact distributions. The combination of NPIs—such as masks, antigen testing, and reduced contact intensity—was the most effective, among the least restrictive, means to reduce infections. The findings may be relevant to public health policy interventions in the community and at the workplace. The study demonstrates that investments in activity-based travel models, including detailed individual-level socio-demographic characteristics and activity behaviors, can facilitate the evaluation of NPIs to reduce infectious disease epidemics, including COVID-19. The framework developed is generalizable across SARS-COV-2 variants, or even other viral infections, with minimal modifications to the modeling infrastructure.