ENVIRONMENTAL PROBLEMS OF URBAN PROJECTS: DIGITAL CONTENT

被引：1

作者：

Raskhodchikov, Aleksei H. ^{[1
]}

Kharlamov, Alexander A. ^{[2
]}

Pilgun, Maria ^{[3
]}

机构：

[1] Fund Moscow Ctr Urban Studies City, Moscow, Russia

[2] RAS, Inst Higher Nervous Act & Neurophysiol, Moscow, Russia

[3] RAS, Inst Linguist, Moscow, Russia

来源：

INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING | 2020年 / 13卷 / 04期

关键词：

Environmental Conflicts; Neural Network Approach; Social Media; Perception;

D O I：

10.33832/ijfgcn.2020.13.4.05

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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.

引用

页码：45 / 54

页数：10

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