The goal of this visualization was to show what travel times would look like using Elon Musk’s Hyperloop concept.
Hyperloop is currently in the conceptual and testing phase, so there wasn’t any data to generate this visualization. The first step to create a dataset was to decide which cities would be a part of the network. The goal was to create a visualization that would resonate with the largest number of users, without creating a totally unrealistic network. Using cities with a population larger than 100,000 people. The next step was to create a network to connect the cities using a minimum amount of hyperloop track. Since the Hyperloop is planned to run next to existing roads, major east/west and north/south highways were used as the main arteries of the system. With the network created, Google’s map API was used to calculate the distance and the travel time by car between every city on the map. With the data collected and the network built, it was simply a matter of using an algorithm to trace the fastest path between any two cities. This allows the visualization to calculate both the Hyperloop and Drive times, and then build out the concentric rings which denote the Hyperloop travel times between cities.
Be sure to mouse over the cities to see travel details from that city. Click on the major city closest to you to see the travel time overlay from your city.
This data visualization appeared in Popular Science magazine.