Psychological Maps 2.0 [www 2013]

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  • the world is currently undergoing a massive influx of people into cities. which means that (next slide)
  • the world is currently undergoing a massive influx of people into cities. which means that (next slide)
  • the world is currently undergoing a massive influx of people into cities. which means that (next slide)
  • in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
  • in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
  • in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
  • in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
  • in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
  • in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
  • Psychological Maps 2.0 [www 2013]

    1. 1. Psychological Maps 2.0:A web engagement enterprise starting in London
    2. 2. Situation75% in USA (already!)
    3. 3. Situationplus 1.2B by 2025 in USA
    4. 4. Situationplus 5M /month in developing c.
    5. 5. ProblemInequality!
    6. 6. Solution$Timely allocation of scarce resources
    7. 7. census deprivation + londoners on twitter
    8. 8. r=.350 word count r=.365 MaxEnt[cscw’12] Tracking Gross Community Happiness from Tweets
    9. 9. social mediaenvironmentsportshealth Royal weddingSpanish/Portuguesecelebrity gossipsTalk of the City [ICWSM’12]
    10. 10. Twitter |o|
    11. 11. well-off deprived
    12. 12. well-off deprivedVisibility
    13. 13. visibility & well-being
    14. 14. draw a map
    15. 15. WEIRD trap!Few hundreds of WEIRDosWhite,Educated,Industrialized,Rich, and Democratic undergraduates
    16. 16. WWW Game!
    17. 17. URBANOPTICON.ORG
    18. 18. “I’ve been living in London for the past 35 years and Ifelt like a tourist. There were so many places I had noclue where they were. It is frustrating to get a scoreof 200 [out of 1000]!”
    19. 19. launched few months ago > 2K players
    20. 20. “Yesterday we had few friends over for dinner.I started to play the game on my laptop, andthat escalated into a ridiculous competitionamong all of us that left my husband (the onlyLondoner in the room) quite injured, so tospeak ”
    21. 21. Demographicsage&gender ~ Underground passengers!= Facebook/Twitter users
    22. 22. Regions
    23. 23. Regions
    24. 24. Boroughs
    25. 25. Boroughs
    26. 26. Londoners vs. UK vs. World
    27. 27. Visibility & Social Deprivation
    28. 28. Vibility vs. Exposure
    29. 29. Distinctiveness(e.g., interesting architecture)Area more visibile than exposure would suggest
    30. 30. info value of pix? 
    31. 31. pic info = quantitative “fuzzy” concepts
    32. 32. (a) (b) (c) (d)(e) (f) (g) (h)Figure 5: Visual Wordsfor Beauty (top row) and Ugly (bottom row).and guardrails. The red dots on top-ranked pictureshose on bottom-ranked ones mean two different thingsormer reflect positive(e.g., happy) visual words, whilePicture Quality Bias. Photos might not necessarilywhat they aresupposed to show (representativeurban sin each neighborhood), and somepictures might beof
    33. 33. only london? 
    34. 34. profzero.org/urbanopticon

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