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Investigation and analysis of the state of the art of region sustainable development problems and regional
politics of Georgia. Defining of region sustainability aspects and social-economic factors of
development.
Formation of
mathematical indicators, indices and models, studying some impacts: economic, social / quality of life, transportation, environmental.
Economic: direct impacts (employment, income, etc); indirect and induced impacts (employment,
income, etc); costs and revenues to local governments including expenditures for new services and revenues generated from taxes.
Social / Quality of Life: preservation of historical and cultural resources; available open space, parks and recreation; environmental design; availability of affordable housing; equity of development impacts; quality of life.
Transportation: vehicle miles traveled; level of service on existing roads; new capacity needs.
Environmental: air quality;
water quality; noise; storm run-off; carrying capacity; preservation of species and sabitats
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Economic Impact Analysis
Fiscal Impact Analysis
Environmental Impact Analysis / Local knowledge, experts and groups
Acres per capita; local and regional information
Visual preference and other public opinion surveys
Local and regional socioeconomic information
Distribution of economic impacts and information on distribution of income
Public Opinion Surveys; local and regional information
Transportation Impact Analysis
Measures of pollutants, non-attainment of
standards, evaluations of urban airsheds
Measures of sediments; Turbidity and hydrological models
Measures of decibel levels, Noise Contour Analysis
Volumes of run-off, peak discharge, Computer models
Water needs, sewer needs and capacity, landfill needs and capacity, all from state and local information sources
Numbers of population, acres of habitat, other
local information
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This methodology can be implemented in a
web based
solution for e-government
Economic measures and environmental measure «carrying capacity» are monetized.
The remaining measures can not easily be monetized.
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II
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Determination of
the individual goals weights by methods of neuroinformatics.
Formation of the
private efficiency functions.
Design of some
integrated target function on their basis.
Optimization of
this integrated target function.
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Bayesian approach
Mahalanobis distance criterion
Maximum entropy principle
Optimization of the integrated target
function by proper genetic algorithms
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The methodology is
quite new for mathematical modeling of sustainable development of the regions
of Georgia
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