Introduction | Literature Search | Purpose and Objective | Expected Significance | Organization, Qualification and Staffing | Expected results | Scope of Activities | Technical Methodology | Foreign Collaborators

Project Title: Cognitive, Genetic and Neural Integrated Models for the Sustainable Development of the Regions

Research manager of the project: Oleg M. Namicheishvili, Professor, Dr. Sci. (Tech.)

Leading organization: Georgian Technical University          

How will the science be done?

Describe the scientific and technical approach, methods and methodologies to be used in each phase of the project. Underline any novelty or uniqueness
of the methodological approach for solving the problem.  Describe how any preliminary work performed validates the proposed approach.


Technical Methodology

Step

Content of the step task

Approach, methods and methodologies

Novelty or uniqueness of the methodological approach

I

Investigation and analysis of the state of the art of region sus­tanable development problems and regional politics of Georgia. Dfining of region sustainability aspects and social-economic factors of development.

Formation of mathematical indicators, indices and models, studying some impacts:  economic, socia/ 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

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

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.

II

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.

Bayesian approach

Mahalanobis distance    criterion

Maximum entropy principle

Optimization of the integrated target function by proper genetic algorithms

The methodology is quite new for mathematical modeling of sustainable development of the regions of Georgia

III

Formation of the sustainable de­ve­lopment strategy of the region on the basis of cognitive analysis and modeling scenarios.

Technique exploring use of fuzzy cognitive maps to create scenarios of sustai­nable development for re­gi­ons of Georgia

 

A new approach to modeling scenarios for management of sustainable development of the region of Georgia