Civic News

When and where your bike is most likely to get stolen [Data analysis]

Drexel student Daniel Forsyth used the city’s data on bicycle thefts to find out when and where your bike is most likely to get stolen. He broke down his analysis here. It reminds us of Azavea fellow Tyler Dahlberg‘s analysis of the same data. Read more about it in the Inquirer here.

Bikes may or may not have been stolen from here. (Photo by Flickr user MTSOfan, used under a Creative Commons license)

Drexel student Daniel Forsyth used the city’s data on bicycle thefts to find out when and where your bike is most likely to get stolen.

He broke down his analysis here.

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It reminds us of Azavea fellow Tyler Dahlberg‘s analysis of the same data.

Read more about it in the Inquirer here.

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