Urban populations are exploding—with 68% of the world's population projected to live in urban areas by 2050—leading to extensive innovation in transport methods in favor of easier, faster "micromobility" alternatives such as bikes and scooters. 

The mobility industry revolves around location, and the amount of available location data is growing exponentially, which is why innovators are leveraging location data and analysis to uncover mobility insights for transport modeling, OD matrices, or infrastructure planning.

In this webinar, Dan Rushton and Virginia Diego discuss:

• - How innovators are using spatial data and analysis to make mobility planning decisions.
• - Why spatial data is becoming essential in data science workflows to understand and predict patterns.

• - How mobility companies use thousands of routes and data points, such as weather data, in machine learning models to optimize their scooter fleet usage.

A pdf of the slides of the presentation is also available to download here.