The other day, my colleague Roger Gorham, a transport economist working in Africa, shared with me an interesting story. He was in Lagos, meeting with stakeholders about setting up public-private partnerships for transport initiatives. One meeting revealed that, in an effort to improve service, a private entity had invested in new taxis for Lagos and in each had installed a GPS unit. This little revelation may not seem interesting, but it was very exciting to Roger, who also learned that the company has amassed more than 3 years of GPS tracking data for these taxis (which, incidentally, troll the city like perfect probes, nearly 24 hours a day, 7 days a week) and that this data could be made available to him, if he thought he might make some use of it.
Now, if you are reading this blog, chances are that you realize that with this kind of data and a little analysis, we can quickly and easily reveal powerful insights about a city’s transport network – when and where congestion occurs, average traffic volumes, key traffic generators (from taxi pick-up point data), occurrence of accidents and traffic blockages in real time, and even the estimated effects of congestion and drive cycle on fuel efficiency.
As Roger said, “They are sitting on a gold mine and don’t even know it….”