The document discusses the transition from static media to dynamic media enabled by computers, highlighting the importance of computational responsiveness in enhancing thinking processes. It also presents data from an IoT project focused on noise pollution, analyzing bicycle station availability patterns throughout the day. Additionally, it mentions human transport characteristics and compares existing and proposed Moscow metro networks.

1. Город и данные
Андрей Кармацкий
urbica.co

3. «We have these things called computers, and we’re
basically just using them as really fast paper
emulators.»
«The important thing isn’t thinking about computers
or programming as they are today, but thinking about
moving from a static medium like marks on paper to a
dynamic medium with computational responsiveness
infused into it, that can actually participate in the
thinking process.»
Bret Victor

8. Urbica IoT: sensors for noise pollution data collection

14. There are three different colors which roughly correspond to three different modes of
behavior (clusters). Some stations consistently exhibit higher or lower availability at specific
times of the day, reflecting the demand of that station and, by extension, the flow of
bicyclists into or out of the surrounding area.
Hight availability in afternoonHight availability in morning and
evening
Low availability during all day

15. Morning Midday Evening

18. «Человеческий транспорт»
1. Высокий пассажиропоток и плотность
2. Пешеходная доступность
3. Линейность и симметрия

27. Moscow metro loadings

31. Existed network Proposed network

33. mos.ru/magistral

37. Спасибо!
karma@urbica.co

38. telegram.me/urbandata