Cities globally are experiencing the same changes in transportation — better information about mobility is a universal need. That’s why our vision for TransitScreen is boundless: our technology can work in any place, for any person, to get them anywhere they need to go. We can run on any screen or any mobile device, in any city in five countries (and 10 languages).
Last year, when we announced our MobilityScore product to help people make location-based decisions, we focused on acquiring all data in the United States and Canada. And we did! We have data for more than 2,700 agencies and operators across North America, ranging from subways to scooters to private shuttles, giving us more information at our fingertips than any other company.
We have displays in a handful of European cities — London, Paris, Dublin — but there are so many large cities across the world with larger transportation systems and even larger commitments to sustainability. Singapore, the early adopter of smart city technologies. Copenhagen, a cyclist’s paradise. Mexico City, whose bus-rapid transit system carries almost 2 million people daily.
We want to change the way people get around cities — not just in the US, but everywhere. We’re committed to gathering as much data as possible and maintaining our status as a leader in the mobility information space. To that end, we’ve created a new Global Data Partnerships Manager position and have brought on Diego Canales to fill the role.
Diego comes to us from the World Bank and the World Resources Institute, giving him experience not only in the specifics of transportation data and the overall landscape, but also in creating data where none exists.
“I am very excited to be joining the TransitScreen team,” Diego told us. “I’m enthusiastic about joining an organization at the heart of the sustainable transportation revolution by transforming data into relevant information for people and organizations.”
Diego developed hands-on expertise at the World Bank and the World Resources Institute, giving him experience not only in the specifics of transportation data and the overall landscape, but also in creating data where none exists.
For so many cities still, the idea of knowing exactly when a bus is coming is still a fantasy. We hope to make it a reality, saving millions of hours in wasted time and frustration for people around the world.