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Sensing population dynamics Administrative Ambient Active Average workday Residential census Near real-time image: https:/...
Atmosphere Movement/Dwell-time Motivation Individual behaviours Environmental data Expressive interactions iStockPhoto ‘Re...
Contextual analysis
Behaviour mapping
Estimating the active population Administrative data + Reality data Ambient baseline Contextual weights Researcher: Sharon...
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16 de Dez de 2017

Sensing Population Dynamics

Estimating the active population at street level from digitised urban interactions. Presented at 'Smart Cities and Planning: New Urban Agenda, New Urban Analytics' sponsored by the MacArthur Foundation and held at Senate House, London.

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Sensing Population Dynamics

  1. 1. Sensing population dynamics Administrative Ambient Active Average workday Residential census Near real-time image: https://pxhere.com/en/photo/1392001 Researcher: Sharon Richardson Supervisors: Professor Andrew Hudson-Smith & Dr. Hannah Fry
  2. 2. Atmosphere Movement/Dwell-time Motivation Individual behaviours Environmental data Expressive interactions iStockPhoto ‘Reality’ data
  3. 3. Contextual analysis
  4. 4. Behaviour mapping
  5. 5. Estimating the active population Administrative data + Reality data Ambient baseline Contextual weights Researcher: Sharon Richardson Supervisors: Professor Andrew Hudson-Smith & Dr. Hannah Fry Ambient Active Regulars vs Tourists Friday daytime Friday normal at 6pm Friday events at 6pm LandScan Pixel, 2015 + mobile device readings, June 2017 55,1125,907 9,8655,907 5,9075,907 4% 40% 33% 96% 60% 67%(1.00) (weight) (1.67) (9.33)

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