City Specific Running Maps

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This Heat Map Indicates Where Majority of People Run in Each City

If you are ever looking for running maps in the city you are living or visiting in then looking into these heat maps of the most popular routes runner take may be your best jogging guide. These maps almost look like works of art themselves.

Statistician Nathan Yau took samples of public data records from the workout app RunKeeper to figure out where the majority of people run in 22 different cities across America, Canada and Europe. He came up with these maps that are so intriguing and captivating, you wouldn't even realize they were running routes just by looking at them.

Specifically these maps reveal areas where there is high foot traffic and less traffic. They are indicated by the lines' thickness; the thicker the line the more traffic there is in that particular area. These running maps seem like a great way to choose your preferred route on your daily walk or jog.
Trend Themes
1. Crowdsourced Fitness Mapping - Opportunity for a platform to be developed where users can contribute and access running maps based on popular routes in different cities.
2. Data-driven Urban Planning - Potential for cities to use this type of data to analyze foot traffic patterns and make informed decisions for urban development and infrastructure.
3. Artistic Visualization of Fitness Data - Innovation in creating visually appealing representations of fitness data that can engage and inspire users to explore new running routes.
Industry Implications
1. Fitness Technology - Fitness apps and wearable devices can integrate crowdsourced running maps to enhance user experience and provide personalized route recommendations.
2. City Planning - Urban planning departments can leverage data on popular running routes to optimize city infrastructure and promote pedestrian-friendly designs.
3. Data Visualization - Companies specializing in data visualization can collaborate with fitness app developers to create visually stunning representations of fitness data.

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