Darnaus vystymosi principai Vilniaus miesto plėtroje

Abstract

Living conditions and housing provision arc related to human right guarantees and human resource preservation and development, which has impact not only on the standard of living in the state but also predetermining economic, social and demographic consequences. The accessibility of transport means and the expansion of cities limits give opportunities to improve citizens' residential environment, to expand areas of green spaces and water. It is often noted (when assessing quality of citizens' life), that natural element of nature, such as trees and water, make cities more sustainable and attractive and quality of life - more healthy and pleasing. In stage of nowadays civilization development, remote cities districts became accessible easier because of transport and technologies progress and processes of globalization, since new factors started to influence on the development of the cities. The results of late year's researches show that without well known classical ecological characteristics of green spaces (stopping the dust, cleaning the air) they also have significant social effect. It is proved, that green spaces reduce habitants stresses, influence restfully, reduce aggressiveness, improve communication between neighbours and consolidate the communities. It is necessary to assess the fact that the city is composed of separate residential districts, which usually have some common characteristics: intensity of district built up level, number of working places, distance from city centre, extent of green spaces and etc. There was designed empirical model of correlation - regression when seeking to estimate influence of different factors on estimate market in separate districts and the method of clusters was used when identifying general group of cities districts.

In Vilnius case residential districts are divided into three clusters, which are significantly different with their urban indicators, ecological characteristics and quantity of green spaces belonging to one habitant. Conclusions were formulated in accordance with applied statistical analysis.