Therefore, solving urgent urban transport problems in these cities requires us to think outside the box. Fortunately, the rapid development of ICT-enabled approaches provides a great opportunity to optimize and enhance the efficiency of existing and new urban transport systems, at a cost much lower than building new infrastructure from the ground up.
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On a recent trip to Mexico City, I had the pleasure of participating in three events that really brought home the transformative power of the open data and open source eco-system that is becoming an ever more important element of our work in transport.
First I joined the Secretary of Mobility for Mexico City to inaugurate an open data-based system for alerting public transport users in this city of 8 million of any disruptions to the city’s multimodal transport system consisting of an extensive metro system, a suburban rail line, 5 lines of the Metrobus Bus Rapid Transit system (BRT), an electric trolley system, as well as a substantial publicly operated bus system. The alert system was built using open-source software on an open standardized data set of schedules supported by the Bank last year (read more about that initiative led by my colleague Catalina Ochoa). Not only does this service deliver value for Mexico City commuters immediately, but it also allows any other city that has its data organized in a similar standard GTFS (General Transit Feed Specification) format (over a 1,000 cities do) to use the same code developed for Mexico City off GitHub, a web registry. Moreover, the open standardized formats let developers in Mexico City or elsewhere build apps that use this information. The market for these applications is potentially global, spurring innovation for user-oriented applications in public transport: there are already many hundreds of GTFS based applications.
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…