Page 27 - International Standards to Shape Smart Sustainable Cities: The Case of Moscow

Implementing ITU-T International Standards to shape Smart Sustainable Cities - The case of Moscow

Dimension Sub-Dimension Description

Environment  These KPIs aim to assess the use of ICTs in
supporting urban environmental services and
improving the overall environmental quality in
cities.

Energy
These KPIs aim to assess the use of renewable
Environment and sustainable sources of energy in a city, as
well as its energy efficiency and energy
reduction measures.

The use of energy from renewable sources,
along with efficient uses of energy, can lead to
the longer-term sustainability of an urban area,
provide for more independence of electricity
supply, and lead to the reduction of GHG
emissions related to electricity generation.

Education, Health  These KPIs aim to assess the impact of ICTs to
and Culture improve citizens’ quality of life.
 They focus on areas such as education, health
and city safety, among other aspects related to
Society & Culture Safety, Housing and  quality of life within the city.

These KPIs aim to assess the impact of the use
of ICTs to promote urban equity, citizen
Social Inclusion
participation and to enhance social

 inclusiveness.
They focus on qualities such as equity,
governance, city openness and public
participation.

During the first phase of the project, ITU-T provided Moscow guidance on the use of the KPIs
within the context of Smart Sustainable Cities. Following the receipt of the U4SSC KPIs, Moscow
reviewed the KPIs to determine which departments, agencies and other entities would be
responsible for collecting the necessary data and supporting documentation for each indicator.
As mentioned previously, the IT Department’s Smart City Lab coordinated this effort and
reached out to other Moscow City Government departments, agencies and entities (e.g.
Moscow’s Department for Environmental Management and Protection, and its associated State
Environmental Conservation Agency) to gather the required data for the indicators. Most data
sources (approximately 97%) were able to provide current, real-time or primary data from the

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