Mobile and Sensible Moscow

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Interactive data visualization of research 'Transport Network and Social Network: Motion and Emotion'.

We visualized two types of information — semantic analysis of social network streams and cellphone network data, provided by MegaFon. For each data type we created "research" and "presentation" interfaces. Research interface allowed users to 'dig' into the data and analyze it by themselves, while presentation interface showed them the results, discovered by the research group.

Moscow Urban Forum 2013

Collaboration between Thomson Reuters, Mathrioshka and MegaFon.
Сommissioned by the coordinator of complex research 'Archaeology of the periphery' consortium: bureau Meganom and Institute Strelka.

Curator: Alexei Novikov
Research Group: Ekaterina Serova - leader, Philipp Kats, Oleg Kiselev, Irina Maslova, Andrey Lukashenkov, Sergey Khristolyubov
Data Visualization and Interface: Vadim Smakhtin, Eduard Haiman, Sergey Lyubashin

Moscow, December 2013

My roll is concept design, data visualization, art direction, visual programming

Interactive data visualization of research 'Transport Network and Social Network: Motion and Emotion'.

Moscow Urban Forum 2013.

We visualized two types of information — semantic analysis of social network streams and cellphone network data, provided by MegaFon.

For each data type we created "research" and "presentation" interfaces. Research interface allowed users to 'dig' into the data and analyze it by themselves, while presentation interface showed them the results, discovered by the research group.

Motion

The interface shows the key commuting trends in Moscow urban area — the moves of different groups of mobile network subscribers. The analysis of urban mobility is based on the Geospatial Analysis Services of OJSC “MegaFon”.

The interactive model has two modes: “dot” and “line”. The dot-mode shows user the detailed movements in a different directions, while the line-mode is a summary of movements and a clear image of the routes.

The streams ratios can be analyzed in connection with three zones: center of Moscow, its periphery and Moscow Region. There are also categories of direct and indirect routes, that reflects the shortages of Moscow transport infrastructure. Additional categories: age groups and journey time.

Big data analysis helped to examine everyday concepts of urban mobility in Moscow.

Research interface

Here you can see how users are able to research data and discover a new trends by themselves.

Presentation interface

Here you can see the general summary of the part 'Motion'.

Emotion

The interface shows semantic 3D-maps of Moscow urban area. The aim of the visual analysis is to discover the patterns of urban space perception in Moscow based on two topics:

Where are the center and periphery of Moscow situated and what do citizens think about them?

What does “comfortable/uncomfortable” and “secure/insecure” mean for Muscovites, what are the key factors that influence urban space perception and which places can be categorized as comfortable/uncomfortable, secure/insecure?

The maps are based on the data of social media semantic analysis (public information streams from Vkontakte, Twitter and Foursquare).

The interactive model facilitates the tracking of dynamics and spatial patterns of urban space perception.

Various references form areas of concentration and lay on by the vertical axis day after day, so you can see peaks and recessions in the time and space.