The Hidden Image of the City

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1. The document analyzes how patterns of mobility and transportation use as measured by anonymous smart card data can provide insights into levels of community well-being and social deprivation. 2. It describes creating a user-visit matrix and community-flow matrix from 89 million transportation journeys to correlate mobility patterns with indices of multiple deprivation. 3. The results show areas with higher deprivation receive more visits, mobility increases social equalization, and well-off areas have more heterogeneous flows, suggesting mobility metrics can sense community well-being.

Art & Photos Technology

the hidden image of the city:
sensing community well-being from urban
mobility
@neal_lathia

economist
benchmarking global city competitiveness
appendix 1

# 1 New York
# 2 London
# 4 Paris

# 33 Oslo
# 53 Warsaw

past work:

visibility / recall ~ well-being

our work:

visibility / recall ~ pervasive data
a crossroad in our recent research

how smart is your smart-card?
measuring travel behaviours, perceptions, and
incentives
@neal_lathia - ubicomp 2011

individual's preferences ~ pervasive data

tracking “gross community happiness”
from tweets
@danielequercia - cscw 2012

mobility
preferences

community

pervasive data ~ well-being?

IMD
index of multiple deprivation

89 million journeys

1. map IMD – public transport
obtains the deprivation of locations

2. infer familiar locations
assigns people to top-2 places

3. user-visit matrix
binary matrix reflects if u has visited station j

4. community-flow matrix
station-by-station. familiar with x, travels to y

5. flow, social equaliser & heterogeneity counts

main results
correlating mobility with social deprivation

1. area IMD ~ areas it receives visits from
r = 0.21, p < 0.001

2. no homophily effect
r = 0.02, p < 0.001

3. heterogeneity holds for well-off areas
r = -0.16, p < 0.001

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The Hidden Image of the City

1. the hidden image of the city: sensing community well-being from urban mobility @neal_lathia

2. do you recognise...?

9. economist benchmarking global city competitiveness appendix 1 # 1 New York # 2 London # 4 Paris # 33 Oslo # 53 Warsaw

10. past work: visibility / recall ~ well-being

11. the image of the city casa, ucl

12. our work: visibility / recall ~ pervasive data a crossroad in our recent research

13. how smart is your smart-card? measuring travel behaviours, perceptions, and incentives @neal_lathia - ubicomp 2011

14. individual's preferences ~ pervasive data

15. tracking “gross community happiness” from tweets @danielequercia - cscw 2012

16. community's words ~ well-being

17. mobility preferences community pervasive data ~ well-being?

18. IMD index of multiple deprivation 89 million journeys

19.

20. 1. map IMD – public transport obtains the deprivation of locations 2. infer familiar locations assigns people to top-2 places 3. user-visit matrix binary matrix reflects if u has visited station j 4. community-flow matrix station-by-station. familiar with x, travels to y 5. flow, social equaliser & heterogeneity counts

21. main results correlating mobility with social deprivation 1. area IMD ~ areas it receives visits from r = 0.21, p < 0.001 2. no homophily effect r = 0.02, p < 0.001 3. heterogeneity holds for well-off areas r = -0.16, p < 0.001

22. limitations & bias

23. the hidden image of the city: sensing community well-being from urban mobility @neal_lathia

The Hidden Image of the City

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