Sehr spannender Artikel über den wahren „Schatz“ bei Uber: Daten!
The models are exceedingly complex, because people are so complex. “Think about the travel choices you’ve made in the last week, or the last year,” Castiglione says. “How do you time your trips? What tradeoffs do you make? What modes of transportation do you use? How do those choices change from day to day?” He has the deep voice of an NPR host and the demeanor of a patient professor. “The models are complex but highly rational,” he says.The San Francisco County Transportation Authority participates in planning across the nine counties of the Bay Area, considering current issues like congestion pricing, while also creating plans decades into the future. To build models of the 25 million trips Bay residents take every day, Castiglione and his team process a lot of publicly available datasets for many modes of transportation: private cars, buses, trains, bicycles, going by foot. But one growing gap in the data is the footprint of ride-hailing services like Uber.If regional agencies had that data, they could add public transit routes or adjust service times to offer more incentives to get people out of cars and onto trains and buses. What Castiglione craves is an anonymized dataset of all Uber rides with the origin and destination ZIP codes, dates, and times. San Francisco agencies right now are working on plans for $100 billion in transportation improvements like tunnels, bridges, and rail lines. “What happens in the absence of data,” Castiglione says, “is the risk that we make poor investments and poor choices.”Data covering potentially billions of trips per year in the Bay Area might sound like a lot to ask for. In actuality, Uber is already providing this exact data to a California regulatory agency — on the assurance that they don’t release it to anyone else.City planners have been asking for access to detailed ride-hailing data for years. Uber has generally pushed back, citing protection of its business advantage and of passenger privacy. The company has started to share limited, aggregated datasets on traffic speeds and travel times for certain cities, including San Francisco, over the past two years. But transportation researchers say Uber is cherry-picking data to reinforce the narrative that it isn’t to blame for increases in congestion or declines in transit ridership.