Why Covid Saw Fewer Fender-Benders But More Traffic Deaths
(Bloomberg Opinion) -- During the first wave of the Covid pandemic, something disturbing occurred on the empty roads of Virginia. Estimates made in the spring of 2020 found 45% fewer collisions had occurred in the preceding year, if compared with the pre-Covid year ending in the spring of 2019. Yet more drivers had died in crashes. Bizarrely, fatal crashes involving extreme speeding and non-use of seat belts had increased by 78%. The roads had become less congested but also deadlier.
Across the U.S., what happened in Virginia happened in many other states as well. Why? Perhaps it was pandemic rage, a direct consequence of the psychological burden of the pandemic? Or did anti-Covid measures keep the more cautious part of the population off the roads, leaving a riskier group of remaining drivers, with a predictable outcome? Or maybe it had nothing to do with Covid at all — maybe it was a continuation of a pre-existing trend. After all, road fatalities have been climbing in the U.S. for a decade, in part due to bigger vehicles and in part because more drivers are drinking, using drugs, or looking at their phones.
All of these factors probably played some role, yet another, simpler factor may be even more important. A meta-analysis looking at dozens of studies of pandemic collisions worldwide finds, in general, a pronounced reduction of both traffic and overall road deaths during the pandemic in most countries. Yet along with this reduction came a spike in the fraction of deadly crashes linked to factors such as extreme speeding. The most frequently cited cause: less-congested roadways, which allow faster driving — something traffic experts call the "speed effect."
Perhaps pandemic psychology also played some role. But quite ordinary psychology linked to the lure of open roadways seems to have had a significant effect.
Research published in the World Journal of Emergency Surgery surveyed well over 100 studies of road collisions and their consequences during the pandemic. Summarizing the findings of such a sprawling study isn't easy, but one principal theme is that traffic patterns differed widely by country. For example, traffic densities fell between 25% and 75% in different European countries, compared with 40% on average in the U.S. Total traffic deaths dropped significantly in almost all nations, with exceptions including Denmark, Sweden, the Netherlands and the U.S., where overall traffic deaths rose slightly.
But there were commonalities. Most strikingly, across all nations, the Covid period showed a significant shift toward more severe and deadly crashes involving high speeds. In Spain, the fraction of deadly crashes increased five-fold over the first year of Covid. Similarly, collisions involving extreme speeds became three times more likely in the U.K. In the U.S., numbers increased 65% in Boston and 167% in New York. They nearly quadrupled in Chicago.
Many of the studies also suggested a fairly simple cause for this outcome: less road congestion. For example, one detailed study in California based on extensive crash, speed and traffic flow data found that highway travel and the number of collisions fell substantially during the pandemic, but that the frequency of severe collisions increased due to lower traffic congestion and higher driving speeds. The lead author of this study, economist Jonathan Hughes of the University of Colorado, a specialist in traffic policy, attributes the increase to the “speed effect,” a well-known traffic phenomenon.
"The ‘speed effect' is the increase in traffic fatalities due to higher average traffic speeds," he told me by email. "On many California highways, speed is typically limited by congestion not by speed limits or driver preferences. With many drivers staying home during the early Covid-19 period, the decrease in traffic allowed remaining drivers to drive faster, meaning that the crashes that did happen were more severe because they happened at higher speeds."
Significantly, Hughes and colleagues found that the increase in deaths from extreme speeds was most pronounced in California counties with higher levels of congestion prior to the pandemic, suggesting this is where reduced congestion let drivers increase their speeds the most.
Nonetheless, Hughes suggests there's some sense to the idea that the pandemic could have changed the behavior of the riskier drivers on the road, although he says the story is more complex than most people think. If traffic is stop and go, the danger posed by a risky driver is mitigated by congestion from other cars on the road. Reduce congestion and the risky drivers are no longer constrained, and can potentially drive more dangerously. So the speed effect could involve some combination of less congestion allowing everyone to drive faster, and also removing some constraints on the riskier drivers.
"We find some evidence," he says, "of increases in the proportion of crashes involving drivers typically viewed as more risky. The proportion of crashes involving male drivers increased from 61% in the months before Covid to approximately 67% during the initial Covid period. However, the main effect on fatalities seems to come from higher average speeds for all drivers."
One of the paradoxes of this "speed effect" is that it has implications going beyond the pandemic. If the shift toward deadlier crashes was less about the pandemic, and more about just the reduction in traffic congestion, then the same result would be expected from any traffic measures that reduce congestion, including building new roads. Any policy that reduces congestion might increase speeds and also crash severity. So if you're frustrated by sitting in rush-hour traffic once again, consider the upside: at least no one's driving too fast.
More from Bloomberg Opinion:
- What Else Could Covid Inflict on Us? Ask Australian Rabbits: Faye Flam
- How About We Keep Wearing Masks on Trains and Subways Forever?: Justin Fox
- Make Sun Belt Cities More Like New York and Los Angeles: Conor Sen
This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.
Mark Buchanan, a physicist and science writer, is the author of the book "Forecast: What Physics, Meteorology and the Natural Sciences Can Teach Us About Economics."
©2022 Bloomberg L.P.
-
Talking Points This Week: Tech Nerves, FII Buying, And A Faraway Banking Shock
The global markets are not shining this Diwali. The exception in the large markets is, India.
-
Midterm Rally Lasted A Day. The Hard Reality Of A Divided US May Last Two Years | Opinion
Between a contested AI boom, a debt ceiling that arrives in 2027 and a president with every incentive to act alone, the next two years may prove more volatile than the first day's rally suggests.
-
Blue Wave Will Derail the AI Trade but Won't Dismantle the AI Era | Unhedged Position
The Democrats' sweep of the US Congress will see politics collide with economic forces both over the long and short term.
-
It's Time To Take The GST Council's Bet On Trust Global
Payment records can prove India's services exports, and clear, proportionate rules can bring foreign digital sellers into the tax net.
-
Opinion | India at 38: From Innovation Overperformer to Innovation Powerhouse
India now has 453 VC-backed deep science startups, 18 of them late-stage, after 117 percent growth since 2020. Laurus Labs, at USD 9.3 billion, is the most valuable deep science company in any middle-income economy outside China.
-
Navigating Energy Crossroads: S Jaishankar's Call For Diversified Supply Chains At G20 Ministerial Meeting
As geopolitical fault lines continue to test maritime trade routes and commodity flows, Jaishankar's message remains pertinent: true economic resilience requires open markets, protected transit lines, and a genuine commitment to multilateral cooperation rather than coercion.
-
Indians Are Travelling, But Not Every Journey Is A Holiday | The Week In Whys
Pilgrims, patients and working women are the real travellers, and the system hasn't quite caught up with them.
-
Getting To Work Costs Women More | The Reason Why
It is not just about women paying more than men. It is about women paying much more in cities than in villages.
-
AI Bias In Investing Cannot Be Eliminated, But It Can Be Governed
Framing is a particularly important example as identical financial information presented in terms of gains rather than losses can lead an LLM to reach a different assessment.