Between Points is a mapping experiment that visualizes the relationship between people, places, and stories in Oakland, CA through the eyes of those who drive its streets every day.
We interviewed four Uber drivers and asked each to share their three most common tourist drop-off destinations. During each ride, we were dropped off at one of their top tourist spots and spoke with the driver about their experiences, listening to how they described the city through their daily routes. We also captured a memorable quote from each ride.
The collected data was then mapped to show how local knowledge and lived experience create invisible patterns of movement across the city.
Concept
Between Points explores how human stories can improve the way we visualize movement in a city. Through conversations with Uber drivers, the project reveals how their local knowledge creates a living network of routes and destinations. The goal is to reimagine the map as both a tool for navigation and a reflection of human experience.
Problem
Human Dataset
Four drivers, four perspectives, one city seen through different routes
Human Dataset
Four drivers, four perspectives, one city seen through different routes