Application of data from social networks for value-based management of city development programs

Abstract

Modern urban space is a complex, relatively autonomous system, the internal integrity and stability of which is created through the interaction of residents, the urban environment and various management systems. The development of a large city, as a dynamic process, requires constant monitoring and expanding the possibilities of human and environmental communication to monitor the needs of residents, as well as rapid response and solution of social and economic problems. The paper considers the potential of using the data of socio-psychological diagnostics of the perception of urban space by users of social networks and the possibility of using this data for the formation of programs for the reorganization of the urban environment infrastructure. Significant correlations between the value-semantic characteristics of the users’ personality and the data of their profiles from social networks for predictive and analytical management of urban space are evaluated. This approach allows us to find the solution of one of the most interesting problems of socio-psychological knowledge - to identify the relationship between social identity, the information environment and the real environment of users in real time, which can create prerequisites for improving successful communication between a person and a city.