Sustainable city compactness evaluation on the basis of GIS and bayes rule

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.

SANTRUKA

Lietuvoje ilga laika vyravo tendencija statyti ekstensyviai, paliekant didžiulius laisvus plotus mieste. Del to miestai užima tokia didele teritorija, kad miesto pakraščiai ir aprūpinimo centrai tapo beveik nepasiekiami. Šiame straipsnyje lošimu teorijos metodas kartu su Geografine informacine sistema (GIS) pritaikytas miesto kompaktiškumo normai nustatyti. Miestu planavimo specialistai straipsnyje pateikta metodika gali taikyti miesto užstatymo tankiui nustatyti ir sprendimo motyvams išsamiai pagristi. Miesto kompaktiškumui ivertinti reikalingi efektyvumo rodikliai ir ju svarba nustatyti pagal ekspertu apklausu duomenis. Uždavinio sprendimo modelis ir metodika pritaikyta Kauno miesto subalansuotam kompaktiškumui nustatyti. GIS pagrindu sudarytas duomenu bankas, kuriame surinkti gyventoju, visuomeninio transporto stoteliu ir visuomenines paskirties objektu duomenys. Miesto teritorija suskirstyta i kvadratini tinkleli. Iš duomenu banko surinkti duomenys, priklausantys kiekvienam tinklelio elementui ir pateikti sprendimo matricoje. Uždavinys išsprestas taikant Bayeso taisykle. Rezultatai pateikiami diagramomis nurodančiomis problemines miesto lasteles ‐ tinklelio elementus. Pagal gautus rezultatus miesto planavimo specialistai nesunkiai gali priimti sprendimus, kurie pagerintu kompleksiškai darnu miesto vystymasi.

Keywords:

• Bayes rule
• City compactness
• Evaluation
• Attributes weights
• Attributes of efficiency