Evaluating The Sustainability Of Volgograd
Free (open access)
279 - 290
N. Sadovnikova, D. Parygin, E. Gnedkova, B. Sanzhapov & N. Gidkova
The accumulated industrial base of major Russian cities, carrying the burden of the economical transformations combined with the existing state-municipal management system, requires the determination of effective ways for further improvement of the city analysis development plans. The purpose of this study is to consider the issues of assessing the sustainability of the city operation and development. The proposed approach allows us to evaluate the current state and compare different scenarios. For the formation of the indicators state of the system we used H. Bossel methods (Indicators of Sustainable Development: Theory, method, practical use, 2001). Identification of factors that need to be corrected was made on the basis of \“star benchmarks”. Analysis of factors that characterize the processes of change in the urban environment allows a reasonable approach in the process of selecting projects of development and transformation of the city. This paper presents an approach to the analysis of scenarios for the city of Volgograd from the position of sustainable development. Using the methodology of cognitive modeling allows us to evaluate the effectiveness of decision-making and analyzing the dynamics of a situation when implementing the different scenarios. On the basis of the study and the simulation results, we have made proposals that improve the sustainability of the urban system. A set of activities oriented towards improving the subsystems of a \“local community”, an \“urban environment” and \“life activity processes” should form factors of sustainable urban development. Keywords: local community, urban environment, local self-government, life activity in a city, scenario forecasting, cognitive modeling, star benchmarks, Volgograd, sustainable development.
Keywords: local community, urban environment, local self-government, life activity in a city, scenario forecasting, cognitive modeling, star benchmarks, Volgograd, sustainable development.