Sometimes the data tells a very different story from the one we expect. In 2011 Oliver Senn, a senior research engineer with the Singapore-MIT Alliance for Research and Technology (SMART), spent five months working on a joint initiative to give real-time data and insights to citizens to help them improve their city.
When Senn was first given his assignment to compare two months of weather satellite data with 830 million GPS records of 80 million taxi trips, he was a little disappointed. â??Everyone in Singapore knows itâ??s impossible to get a taxi in a rainstorm,â? says Senn, â??so I expected the data to basically confirm that assumption.â?
As he sifted through the data related to a vast fleet of more than 16,000 taxicabs, a strange pattern emerged: it appeared that many taxis werenâ??t moving during rainstorms. In fact, the GPS records showed that when it rained (a frequent occurrence in this tropical island state), many drivers pulled over and didnâ??t pick up passengers at all.
Senn confirmed his findings by sitting down with drivers. He learned that the company owning most of the islandâ??s taxis would withhold $1,000 from a driverâ??s salary immediately after an accident until it was determined who was at fault. The process could take months, and the drivers had independently decided that it simply wasnâ??t worth the risk of having their livelihood tangled up in bureaucracy for that long. So when it started raining, they simply pulled over and waited out the storm.
This unexpected revelation, a direct result of the data study, stunned the company. Now, armed with this insight, they are strategizing about how to fix a policy that obviously doesnâ??t work for customers, drivers, or the parent company. Says Senn, â??This was a powerful example of how one of the worldâ??s most data-driven countries is improving the lives of its citizens by providing scientists and researchers with access to that data.â?