Formation of “Urban planning” indicators for “Smart City” concept (on the example of SKOLKOVO, Moscow)

• Main Authors: Chudiniva Olga, Afonina Marina
• Format: Article
• Language: English
• Published: EDP Sciences 2018-01-01
• Series: MATEC Web of Conferences
• Online Access: https://doi.org/10.1051/matecconf/201817002021

The development of “Smart Cities” is associated with a comprehensive study of the General system of settlement. The aim of the study is to use the system of indicators for the objective assessment of territories, as well as determining the effect of each part in the overall assessment of the functioning of the «Smart City». The leading method of research is a comparative analysis of international rankings, surveys of experts and a comprehensive study of indicators. The article analyzes the papers of specialists working in the field of research «Smart Cities» and technologies: Mueller, Battarra, Srivastava, Dolgikh etc. The basis for this work were the studies by authoritative rating organizations such as IESE Business School University of Navarra, Vienna University of Technology and Research Institute of technology and communications (NIITC, Russia) which allowed to generalize the available research from the perspective of sustainable development and use them on a concrete example.The authors have adapted the existing groups of indicators in relation to the SKOLKOVO innovation city, Russia. The applied system is represented by 7 groups and 23 indicators, which allow to present the planning aspect of the current urban planning structure with its impact on human capital, transport infrastructure, social cohesion, the state of the environment, etc. The work lets confirm the influence of the selected indicators on the development of SKOLKOVO (Russia) and use the obtained data for the rating of “Smart Cities” adapted for Russia. The materials of the article can be extremely useful in the designing of concepts for the development of territories focused on the use of smart solutions in order to minimize costs in the implementation of new solutions.