Our project is a collection of visualized data sets about various indicators of the largest cities in the world. The goal is to compare them with Moscow and to understand what position the capital of Russia occupies among other world megacities. The target audience of the project is the media, urban experts and specialists in city management, transport, construction. This project was initially sponsored by Moscow city government and supposed to be distributed free of charge.
What makes this project innovative?
Analogues of our project are studies of consulting companies, for example PricewaterhouseCoopers, in the field of urban planning and city management. In such studies, comparative data on megacities are often given. But indicators are usually chosen a little and they are too standard and boring visualized. We tried to collect many indicators in one file and make visualized data sets more attractive
What was the impact of your project? How did you measure it?
The impact of our project is determined by demonstration and distribution of its printed version at the Moscow Urban Forum and the downloading of separate data sets from the website of the Moscow News Agency (part of JSC Moscow Media). The urban forum in 2015 was attended by about 8000 people and we believe that 30-40% of them saw and read the content of our project, that is 2500-3000 persons. The number of downloads of data sets by media specialists was about 1500
Source and methodology
We originally picked 10 major cities around the world for this research: 4 cities including Moscow in Europe, 3 in Asia, 2 in Americas and 1 city in Australia. We performed in-depth analysis and comparison by different parameters ranging from population and city budgets to internet availability and number of Nobel Prize winners born in the city. We primarily used official information provided by city authorities through their websites and official statistics from national open data storages. Our sources of information also included statistical yearbooks, consulting agencies and some well-known databases of user-contributed data. On some occasions we contacted local government officials via e-mail. All the data were scrupulously gathered, verified and visualized
We used advanced search methods in Google, Yandex and Bing search engines, Python-based crawlers developed by employees of Moscow News Agency to collect unstructured data. Also we used API of the metropolitan open data portal data.mos.ru, statistical processing and preliminary visualization with the Tableau Software tools.
Alexey Krivoruchek, head of team which was searching for data in specialized databases
Margarita Khokhlova, head of team of designers
Ekaterina Eremina, head of department of transport and construction in Moscow News Agency
Anastasia Novikova, head of department of social problems and ecology in Moscow News Agency