Want to transform urban transit? Take a cue from Google, and invent a better algorithm. Service-based transportation networks offer a key for cities to address urban traffic congestion, encourage adoption of alternative transit and slash greenhouse gas emissions from the transportation sector, says Ryan Chin, a PhD candidate in the Smart Cities research group at MIT. And it will likely be the company with the best algorithm for managing fleets of cars, bicycles, scooters and other transit options, and up to millions of users, that finds a way to cash in on the “Mobility on Demand” trend.
As Chin explained to me for an article on GigaOM Pro this week (our subscription-based research service), the MoD concept involves a comprehensive system in which city residents would be able to rent an electric car, scooter or bicycle when and where they need it in order to bridge the “last mile” gap in many public transit systems (e.g. getting between the subway station and your final destination).
Something’s gotta give. In a time of uncertainty about the future supply and demand for fossil fuels, a surge of activity in energy technology and the prospect of stricter emission regulations barreling down the pike, the global market for transportation fuels is poised for disruption.






