Emily Badger shares news of a spectacularly enlightening mapping project called HubCab, by MIT’s Senseable City Lab. “The Senseable City Lab submitted a public records request to the New York City Taxi and Limousine Commission for all its data on those 150 million trips from 2011. They've mapped it in gorgeous, interactive detail,” writes Badger.
“In 2011, there were more than 150 million taxi trips taken in New York City that began or ended in Manhattan, traveling inside 13,586 registered cabs,” according to HubCab’s data, but the patters of those trips reveal redundancies that, at least in theory, help make the city’s taxi system work more efficiently.
For instance, “Taxis ferried passengers from Grand Central Station to near Union Square some 73,000 times, and from Union Square to Grand Central Station 94,000 more.” The obvious question, then, is “what would happen…if we could optimize the entire taxi network in New York as if it were a single, integrated, all-seeing system?” According to HubCab’s analysis, “a totally optimized taxi network in New York would produce 40 percent fewer trips, a similar drop in emissions, and far less traffic.”
What's preventing from implementing improvements to the system now? Although HubCab has done the analysis, someone would have to develop the technology to pair riders. Then there is the loss of business for taxi drivers (who are already under pressure from new forms of technologically-enabled competition) and the fact that many people don’t want to share cabs. "There are psychological barriers," says Michael Szell, one of Senseable City Lab’s researchers. "There are many people who don’t want to sit next to a stranger in a cab. In practice, this percentage would be much lower than 100 percent, maybe more like 10 percent in the beginning."
