Transport for Development
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Information and Communication Technologies

Open Data + Urban Transport = ?

Holly Krambeck's picture

For fun, suppose you were a software developer, and you came up with a terrific idea to communicate public transit information. For example, imagine your city experiences frequent floods, and you have devised an automated system that sends SMS texts to passengers, advising them of alternative transit routes during emergencies.

How much revenue do you think you could earn for that software? How many people could you positively impact?

 

What if I told you that today, by taking advantage of one tiny revolution in open data, you could take those numbers and multiply them by 350, turning $100,000 into $35 million, or 1 million people into 350 million? Sounds pretty good, right? If you are in international development, sounds like a promotion…

“They are sitting on a gold mine and don’t even know it….”

Holly Krambeck's picture

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….”