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Assessment of the potential of Russian cities to transition to the Smart City Model

Assessment of the potential of Russian cities to transition to the Smart City Model. IRINA ILINA NRU HSE IRSUP ROME-2016. S MART CITY.

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Assessment of the potential of Russian cities to transition to the Smart City Model

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  1. Assessment of the potential of Russian cities to transition to the Smart City Model IRINA ILINA NRU HSE IRSUP ROME-2016

  2. SMART CITY • The main strategic goal of implementing the concept of smart city is a sustainable, balanced and efficient growth of modern cities. Promote the comprehensive development of Russian cities as a whole; bridging the gap between the capital and regions of the agglomerate by strengthening cities - regional centers • The need to implement the concept of "Smart City" due to the need to change the approach to the development of modern Russian cities • To solve the current problems requires a comprehensive approach, considering all of the factors in a close relationship • The concept of "Smart City" applies not only to the territory of the official status of the city, but can include other territorial entities, such as the district, region, etc., for which the important role played by urban development model

  3. The assessment score included seven indices each made up of several indicators. The seven are listed below: • 1) Index of "economic potential" • 2) Index of "urban development potential" • 3) Index of "innovation potential" • 4) Index of "human resources" • 5) Index of the "social capacity" • 6) Index "ecological potential" • 7) Index "financial and fiscal capacity.

  4. Weak Signals|Smart Cities

  5. How to measure the stability of the city's development and prospects enter into the world community “smart cities” • Among cities with populations over 1 million people. (Average score for the group 0.44) higher than the average estimate have city Moscow (0.68), St. Petersburg (0.58) Novosibirsk (0.46), Ekaterinburg (0.45). • Among cities with populations ranging from 500 to 1000 thousand. (Average score for the group 0.39) higher than the average estimate of Tomsk have (0.48), NaberezhnyeChelny (0.43). • Among the cities with the population from 250 to 500 thousand. (Average score for the group 0.38) higher than the average estimate has Kaluga (0.42), Murmansk (0.42), Belgorod (0.42), Kursk (0.42), Ivanovo (0.41), Surgut ( 0.41), Stavropol (0.40), Nizhnevartovsk (0.40), Cheboksary (0.40), Tambov (0.40), Kaliningrad (0.40). • Administrative and comparatively greater economic resource of letting you accomplish to become a city of the points for their regions. In these cities is relatively higher human potential, a higher proportion of people of working age.

  6. The main barriers to the development of "smart city" in Russian • The dependence of the decisions taken by the previous development • Technology "dead ends" • Market barriers to efficient technology • Technological backwardness, uneven development of territories • Deficiency of available technologies • Short-term investment horizons • Uncertainty, risk • The lack of financial opportunities, • High "transaction costs", high • original expenses • The problem of opportunity costs • Information asymmetry • Low awareness • Lack of knowledge and experience

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