Urban transit took a pandemic wallop. Can it bounce back?

I was interviewed for an article in the Christian Science Monitor about the impacts of the COVID pandemic on public transit. The reporter did a nice job of summarizing my thoughts on the role of public transit at this moment in history:

Self-driving cars offer some hope to reduce pollution in the near future. Yet progress has been slow, says Professor Miller, and autonomous vehicles aren’t likely to enter city streets within the decade. Even at their electrified best, he says, cars are still an inefficient form of transportation, and hence an imperfect solution to the climate crisis.

In his opinion, the moment demands a grand shift in thought. If viewed as a foundational piece of urban infrastructure, public transit could expand this decade and cement a larger role in the transportation ecosystem. Permitting residents a larger menu of options when traveling – say biking, walking, or riding buses or subways – would help conserve city space, lower spending, and protect the environment.

Urban transit took a pandemic wallop. Can it bounce back? Christian Science Monitor, 25 Feb 2021


As recovery bills languish, transit systems cut service

I’m quoted in an article in CQ Roll Call , a news site covering Congress and the White House, about the drastic budget faced by public transit systems unless Congress acts soon.  You may not be surprised to learn I’m against that.

As recovery bills languish, transit systems cut service – Jessica Wehrman, Roll Call, 2 December 2020

The impacts of COVID-19 pandemic on public transit demand in the United States

New paper: Liu L, Miller HJ, Scheff J (2020) The impacts of COVID-19 pandemic on public transit demand in the United States. PLOS ONE 15(11):e0242476. https://doi.org/10.1371/journal.pone.0242476


The COVID-19 pandemic and related restrictions led to major transit demand decline for many public transit systems in the United States. This paper is a systematic analysis of the dynamics and dimensions of this unprecedented decline. Using transit demand data derived from a widely used transit navigation app, we fit logistic functions to model the decline in daily demand and derive key parameters: base value, the apparent minimal level of demand and cliff and base points, representing the initial date when transit demand decline began and the final date when the decline rate attenuated. Regression analyses reveal that communities with higher proportions of essential workers, vulnerable populations (African American, Hispanic, Female, and people over 45 years old), and more coronavirus Google searches tend to maintain higher levels of minimal demand during COVID-19. Approximately half of the agencies experienced their decline before the local spread of COVID-19 likely began; most of these are in the US Midwest. Almost no transit systems finished their decline periods before local community spread. We also compare hourly demand profiles for each system before and during COVID-19 using ordinary Procrustes distance analysis. The results show substantial departures from typical weekday hourly demand profiles. Our results provide insights into public transit as an essential service during a pandemic.