ENVIRONMENTAL PROBLEMS OF URBAN PROJECTS: DIGITAL CONTENT

[ 31 Dec 2020 | vol. 13 | no. 4 | pp. 45-54 ]

About Authors:

Aleksei H. Raskhodchikov1, Alexander A. Kharlamov2 and Maria Pilgun3*
-1Fund "Moscow Centre of Urban Studies "City"
-2Institute of Higher Nervous Activity and Neurophysiology, RAS, Russia
-3Institute of Linguistics, RAS, Russia

Abstract:

The goal of the study is analysis of residents' perception of environmental problems (destruction of the city's green zone, risk of cancer growth, etc.) caused by urban development projects. Data: the material for the study was the data of social media, blogs, messengers, forums, reviews, videos about construction of South-East highway in Moscow. Methods: the study involved a cross-disciplinary approach using neural network technologies. Findings: data analysis made it possible to identify and study environmental problems that arose at 5 stages of construction, to analyze the perception of residents based on digital content data. Application: the proposed methodology can be used in predictive analytics.

Keywords:

Environmental Conflicts, Neural Network Approach, Social Media, Perception

 

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