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Optimal number and locations of fire stations, by RAND


Take the 1968 decision by New York Mayor John V. Lindsay to hire the RAND Corporation to streamline city management through computer models. It built models for the Fire Department to predict where fires were likely to break out, and to decrease response times when they did. But, as the author Joe Flood details in his book "The Fires," thanks to faulty data and flawed assumptions -- not a lack of processing power -- the models recommended replacing busy fire companies across Brooklyn, Queens and the Bronx with much smaller ones.

What RAND could not predict was that, as a result, roughly 600,000 people in the poorest sections of the city would lose their homes to fire over the next decade. Given the amount of money and faith the city had put into its models, it's no surprise that instead of admitting their flaws, city planners bent reality to fit their models -- ignoring traffic conditions, fire companies' battling multiple blazes and any outliers in their data.

The final straw was politics, the very thing the project was meant to avoid. RAND's analysts recognized that wealthy neighborhoods would never stand for a loss of service, so they were placed off limits, forcing poor ones to compete among themselves for scarce resources. What was sold as a model of efficiency and a mirror to reality was crippled by the biases of its creators, and no supercomputer could correct for that.

OPINION
Not-So-Smart Cities
By GREG LINDSAY
Published: September 24, 2011
Pegasus Holdings, a Washington-based technology company, will build a medium-size town on 20 square miles of New Mexico desert, populated entirely by robots.

Greg Lindsay is a visiting scholar at the Rudin Center for Transportation Policy and Management at New York University and the co-author of "Aerotropolis: The Way We'll Live Next."

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