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Environmental Assessment of Economic Activity Based on Analysis of Types of Permitted Use of Land Plots in the Russian Federation
by
Kovyazin, Vasily
, Bogdanov, Vladimir
, Bogdanova, Elizaveta
, Volkova, Jana
in
Analysis
/ Biodiversity
/ Chemical elements
/ Climate change
/ Disasters
/ Economic activity
/ Economic aspects
/ Ecosystem degradation
/ Ecosystems
/ Environmental aspects
/ Environmental assessment
/ Environmental degradation
/ Environmental economics
/ Environmental factors
/ Environmental impact
/ Environmental indicators
/ Environmental management
/ Environmental protection
/ Environmental risk
/ Geographic information systems
/ geographic information systems (GIS)
/ Human influences
/ impact assessment
/ Impact factors
/ Industrial pollution
/ Industrial wastes
/ Integrated approach
/ Land use
/ Methods
/ Multiple regression analysis
/ multiple regression analysis (MRA)
/ Regression analysis
/ Remote sensing
/ Risk assessment
/ Russia
/ Statistical analysis
/ Strategic planning
/ Technological change
/ type of permitted use (TPU)
/ Urbanization
/ Weight
2026
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Environmental Assessment of Economic Activity Based on Analysis of Types of Permitted Use of Land Plots in the Russian Federation
by
Kovyazin, Vasily
, Bogdanov, Vladimir
, Bogdanova, Elizaveta
, Volkova, Jana
in
Analysis
/ Biodiversity
/ Chemical elements
/ Climate change
/ Disasters
/ Economic activity
/ Economic aspects
/ Ecosystem degradation
/ Ecosystems
/ Environmental aspects
/ Environmental assessment
/ Environmental degradation
/ Environmental economics
/ Environmental factors
/ Environmental impact
/ Environmental indicators
/ Environmental management
/ Environmental protection
/ Environmental risk
/ Geographic information systems
/ geographic information systems (GIS)
/ Human influences
/ impact assessment
/ Impact factors
/ Industrial pollution
/ Industrial wastes
/ Integrated approach
/ Land use
/ Methods
/ Multiple regression analysis
/ multiple regression analysis (MRA)
/ Regression analysis
/ Remote sensing
/ Risk assessment
/ Russia
/ Statistical analysis
/ Strategic planning
/ Technological change
/ type of permitted use (TPU)
/ Urbanization
/ Weight
2026
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Environmental Assessment of Economic Activity Based on Analysis of Types of Permitted Use of Land Plots in the Russian Federation
by
Kovyazin, Vasily
, Bogdanov, Vladimir
, Bogdanova, Elizaveta
, Volkova, Jana
in
Analysis
/ Biodiversity
/ Chemical elements
/ Climate change
/ Disasters
/ Economic activity
/ Economic aspects
/ Ecosystem degradation
/ Ecosystems
/ Environmental aspects
/ Environmental assessment
/ Environmental degradation
/ Environmental economics
/ Environmental factors
/ Environmental impact
/ Environmental indicators
/ Environmental management
/ Environmental protection
/ Environmental risk
/ Geographic information systems
/ geographic information systems (GIS)
/ Human influences
/ impact assessment
/ Impact factors
/ Industrial pollution
/ Industrial wastes
/ Integrated approach
/ Land use
/ Methods
/ Multiple regression analysis
/ multiple regression analysis (MRA)
/ Regression analysis
/ Remote sensing
/ Risk assessment
/ Russia
/ Statistical analysis
/ Strategic planning
/ Technological change
/ type of permitted use (TPU)
/ Urbanization
/ Weight
2026
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Environmental Assessment of Economic Activity Based on Analysis of Types of Permitted Use of Land Plots in the Russian Federation
Journal Article
Environmental Assessment of Economic Activity Based on Analysis of Types of Permitted Use of Land Plots in the Russian Federation
2026
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Overview
Intensive anthropogenic activity leads to ecosystem degradation, necessitating a shift from conventional management approaches towards proactive environmental risk assessment strategies. This study presents a quantitative methodology for calculating a Comprehensive Environmental Risk Indicator (CERI) based on the analysis of types of permitted use (TPU) of land plots in the Russian Federation. The methodology comprises three stages: determining a base risk weight for each TPU, statistically weighting impact factors using multiple regression analysis (MRA), and synthesizing the final CERI. This research identifies five key impact factors: industrial pollution, biogenic and agrogenic effects, landscape and resource changes, anthropogenic and household load, and specific risks and disasters. The results demonstrate that biogenic and agrogenic effects (weight 0.450) and specific risks and disasters (weight 0.398) are the most significant factors. Industrial pollution and landscape changes were excluded from the model due to multicollinearity. The model’s R2 (0.194) confirms its statistical validity as a foundational framework for macro-level risk evaluation. Further improvements could address limitations related to cadastral data variability and the integration of localized environmental parameters. The developed CERI was integrated into geographic information systems (GIS) to visualize risk gradients across land parcels. This study concludes that the use of statistically substantiated factor weights enables objective territorial zoning, facilitating a transition from subjective expert assessments to management based on actual environmental consequences.
Publisher
MDPI AG
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