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.

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. Atmosphere
Movement/Dwell-time
Motivation
Individual behaviours
Environmental data
Expressive interactions
iStockPhoto
‘Reality’ data

3. Contextual analysis

4. Behaviour mapping

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)