Stadium traffic during a football match
Editorial team·Dec 03, 2021

Stadium traffic during a football match

Editorial team
TomTom Blog
Dec 03, 2021 · 2 min read
Traffic behavior around the stadium during a football match | TomTom Newsroom

How does traffic change around a football stadium while comparing a match VS a non-match day?

How-to explanation

Big events, such as football matches or city marathons, for sure have an impact on traffic. But how big and where is the impact?

By using Traffic Stats we will create 2 Area Analysis reports around a football stadium in Germany. The area of the 2 reports will be exactly the same. The main difference between the reports will be the date range definition: one report is a match day (February 29th, 2020) and the other is a non-match day (March 7th, 2020).

To create to reports with the same area, we have two options:

  1. After defining the area in the first report, save the area as a template (Figure 1);

  2. Finalize the first report and, once the results are available in the “My Reports” section, clone the report (Figure 2).

A map of the Borussia Mönchengladbach area, displaying selected area details such as size and road network.Figure 1: Saving an area as a template.
A report management interface displaying a list of reports related to Borussia, with options to clone, download, or delete each report.Figure 2: Cloning an existing report.

Both reports will be one-day-only analysis, one being the day of a football match and the other being a regular non-match day (Figure 3 and 4).

Image showing a date range editing interface, featuring options to select months and years on a calendar for February 2020.Figure 3: Match day date range definition.
Interface for editing date ranges, displaying options for selecting start and end dates in the year 2020.Figure 4: Non-match day date range definition.

Reading the results

Once the 2 reports are finished and available in the “My reports” section, we will use the “Compare report” feature available for all Area Analysis with same area definition (Figure 5). This will allow us to overlay the 2 area results and visually identify the roads performing best or worse.

A report management interface displaying a list of reports with options for sharing or exporting, highlighted in red for emphasis.Figure 5: Compare reports option.

Conclusion

By analyzing the 2 reports comparison, it’s clearly visible that, during a match day, the streets around the stadium performs badly when it comes to average speed and travel time (Figure 6).

By downloading the data of both reports, you can easily identify the pain points and bottle necks. According to initiative around events and traffic management, a clear traffic guideline can be created with suggestion of alternative access, load balancing among several parking lots and also incentives for different times of arrival.

A traffic map visualizing data with color-coded routes in blue and red, accompanied by filtering options on the left side of the interface.Figure 6: Average speed comparison around the stadium.

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