Detailed Analysis
BOSTON - SMART CITY - People
June - October 2016 ||| SCOPE: Sensors, Data, Visualization ||| PROJECT: BitSence.io
A detailed characterization of a neighborhood's vibrancy at different intervals and times of the day. Identifying trends in the captured data such as periodic rises in the number of people and stay durations. Such data can be used by real-estate developers for retail site selection based on expected business performance. The analyzed factors include: ● Count ● Patterns ● Duration of stay ● Returns
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