Abstract

For a long period in Lithuania there was a tendency to build extensively leaving huge wasteland insertions in the urban fabric of the cities. As a result cities overspread such a big territory that the edges of the cities and location of provision centers are almost inconceivable. In this paper the method of game theory fitted for Geographic Information System (GIS) is given to evaluate and calculate the rate of city compactness. This methodology can help city planners to determine and localize problems of urban fabric density, to enhance motivation and versatility of decisions. For evaluation of city compactness efficiency attributes and the weights of it based on expert judgment are established. This model is applied to Kaunas city. On the basis of GIS the data bank of population, public transport stops and places of public attraction is prepared. Area of the city was divided by rectangular grid and analysis was made calculating efficiency attributes for each sector, applying Bayes rule. The results were visualized as diagrams showing most problematical areas.

Highlights

  • The debates on sustainable urban development in the world are going on very intensively and compact city appears to be one of the best realizations for a sustainable development (Livingstone and Rogers, 2003)

  • A lively discussion of the appropriate form for sustainable urban development has been stimulated by the European Commission’s green paper on the urban environment, by a number of recent planning policy guidance notes issued by the department of the environment in Britain, by general urban policy changes in Australia and by series of urban design proposals for new forms of suburban development in the United States

  • The method described in this article can be used as a basis for further development

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Summary

INTRODUCTION

The debates on sustainable urban development in the world are going on very intensively and compact city appears to be one of the best realizations for a sustainable development (Livingstone and Rogers, 2003). Munda (2005) states that sustainable development is a multidimensional concept, including various perspectives He showed that multi-attribute decision analysis is an adequate approach for dealing with sustainability conflicts at both micro and macro levels of analysis. .or example Barbier (1987) writes that sustainable development implies: “to maximise simultaneously the biological system goals (genetic diversity, resilience, and biological productivity), economic system goals (satisfaction of basic needs, enhancement of equity, increasing useful goods and services), and social system goals (cultural diversity, institutional sustainability, social justice, participation)” This definition correctly points out that sustainable development is a multidimensional concept, but as our everyday life teaches us, it is generally impossible to maximise different objectives at the same time, and as formalised by multi-attribute decision analysis, compromise solutions must be found. The city provision centers became difficult to localize because the level of spatial organization is very minimal and based mostly on access by automobile (Urban Task .orce, 1999; Rogers and Power, 2000)

There must be taken measures to calculate
The hypothesis about the consent of experts in rankings is accepted ''
Result
Findings
CONCLUSIONS
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