Rhythm of the streets: a street classification framework based on street activity patterns

HIGHLIGHTS

• who: Tianyu Su from the Department of Studies and Technology, Cambridge, MA, USA have published the paper: Rhythm of the streets: a street classification framework based on street activity patterns, in the Journal: (JOURNAL) of December/24,/2017
• what: This research proposes an activity-based framework to categorize segments based on their which is derived from high-resolution de-identified and privacy-enhanced mobility Building on existing street classification frameworks and the recent progress in finergrained urban mobility data, this research proposes a scalable and reusable street classification framework based on the temporal patterns of . . .
  

   

  

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