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Scientific Article details

Title Comprehensive approach to smart urban development based on Big Data application
ID_Doc 43129
Authors Kurcheeva, GI; Klochkov, GA
Title Comprehensive approach to smart urban development based on Big Data application
Year 2018
Published
DOI 10.1088/1742-6596/1015/4/042025
Abstract Despite a certain technological backwardness of the Russian economy, the authors believe that the transition to the "smart city" is possible if one can solve such problems: providing large-scale investment, training and retraining specialists in the field of ICT, increasing innovation managers and consumers, increasing ICT participation in the work of governments, organizations and people, creating the appropriate conditions for the development of the information society. Accordingly, when developing models, it is planned to consider the relationship between quality of life and the existing system of indicators on trends of "smart cities". Monitoring of indicators of quality of life, mutually related indicators of technological development can help us develop the process model. When selecting directions for the main components of the "smart city", let us introduce the evaluation criteria that significantly affect the quality of the values of life. The development of "smart cities" should consider the international experience of the use of breakthrough innovative technology. Research scientists of various countries show a variety of approaches to identifying the main business processes in models of the "smart city". Having the international experience, it is necessary to improve business processes in the construction of a process model "smart city", adapting the model to the characteristics of the national environment.
Author Keywords
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000446952000234
WoS Category Engineering, Electrical & Electronic; Physics, Multidisciplinary
Research Area Engineering; Physics
PDF https://doi.org/10.1088/1742-6596/1015/4/042025
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