Moving Millions: What a Major International Soccer Tournament Taught Us About Transportation Resilience

By Nishant Pareek 

Earlier this summer, I attended a major international soccer match in Atlanta with my family. Like most fans, we were excited for the event itself. But while I regularly visit the region, I found myself paying close attention to everything happening around the match as my family and I made our way through the city. Roads were busy. Transit stations were full. Thousands of people were all trying to reach the same destination at roughly the same time. 

As someone who works in mobility analytics, I wondered: what really happens to a transportation network when an entire region starts behaving differently for a single event?  

That experience brought a real-world perspective to a question the Michelin Mobility Intelligence team was already examining through the Moving Millions: What Major Events Reveal about Transportation Resilience study. Using mobility intelligence, traffic data, driving behavior signals, and insights from transportation experts, we examined major tournament matches across 7 host cities to better understand how congestion, risk, and operations evolve during mega-events. While every market was different, several clear patterns emerged. 

Takeaway #1: The greatest impacts stay close to the venue 

One of the strongest findings was that disruption was highly localized. Across host cities, the most significant traffic and driving behavior impacts occurred within one mile of the venue. 

Atlanta provides a great example. Around Mercedes-Benz Stadium, the most substantial traffic slowdowns were concentrated in the venue core. Beyond that area, impacts dropped significantly.

CONGESTION IMPACT ON TRAFFIC FLOW (WITHIN 1 MILE RADIUS AROUND THE STADIUM)

For transportation agencies, this reinforces the importance of targeted planning. Rather than treating an entire metro area as equally affected, resources can be prioritized around the corridors and access points most likely to experience stress. 

Takeaway #2: The real challenge begins after the event ends 

Many people assume the biggest transportation challenge is getting fans to the venue. Our data suggests otherwise. 

In Atlanta and several other host cities, the most significant traffic impacts occurred during the departure period. In fact, the largest reductions in speed often appeared 30 to 75 minutes after the match ended, as thousands of attendees left simultaneously and moved back through the transportation network.

For planners, that means the final whistle should not mark the end of operations planning. In many cases, it marks the beginning of the most demanding period. 

Traffic delays tell part of the story. Driving behavior tells another.  By analyzing harsh-braking activity alongside traffic conditions, we found that areas experiencing the greatest congestion frequently showed elevated behavioral risk signals as well. In Atlanta, harsh-braking events increased dramatically around the stadium during event periods.  

EVENTS (WITHIN 1 MILE RADIUS AROUND THE STADIUM)

While harsh braking does not indicate a crash occurred, it can help identify locations where drivers are encountering more challenging operating conditions. 

These findings also have important implications for vulnerable road users, especially pedestrians. Major events dramatically increase the number of people walking between stadiums, fan zones, transit stations, rideshare locations, restaurants, and parking facilities. Our analysis showed that traffic disruption and risky driving behaviors often remained elevated for several hours after matches ended, while many fans continued gathering nearby before heading home. 

When increased pedestrian activity overlaps with congestion, elevated risk signals, and the potential presence of impaired travelers, areas surrounding major venues become critical safety zones, not just traffic management zones. 

Takeaway #4: Data helps agencies move from reaction to preparation 

Perhaps the most important lesson from this study is that mega-event transportation impacts follow recognizable patterns. While every city is unique, agencies can use mobility intelligence to understand where pressure is likely to emerge, when it will peak, and where risks may affect both drivers and pedestrians.

The goal is not simply to respond to congestion. The goal is to anticipate it. 

Major events will continue to test transportation systems. But with the right combination of mobility data, behavioral insights, and operational planning, agencies can better prepare for the millions of trips that accompany them. 

That is ultimately the opportunity behind Moving Millions: turning event lessons into practical strategies that improve transportation resilience and safety long after the crowds go home.