31. “I’ve been living in London for the past 35 years and I
felt like a tourist. There were so many places I had no
clue where they were. It is frustrating to get a score
of 200 [out of 1000]!
”
34. “Yesterday we had few friends over for dinner.
I started to play the game on my laptop, and
that escalated into a ridiculous competition
among all of us that left my husband (the only
Londoner in the room) quite injured, so to
speak ”
49. (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 pictures
hose on bottom-ranked ones mean two different things
ormer reflect positive(e.g., happy) visual words, while
Picture Quality Bias. Photos might not necessarily
what they aresupposed to show (representativeurban s
in each neighborhood), and somepictures might beof
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.
