Using Fuzzy Sets in the Estimation System of the Efficiency of Urban Environment Metabolism (On the Example of Cities of Ukraine)

Abstract

The urban environment is a networked metabolic organism. The urban environment includes networks that feed it with energy, resources, people, goods and information. The urban environment carries out a permanent transformation of matter, energy and produces waste, which together change the urban environment. We have proposed to use an indicator for assessing the efficiency of the metabolism of the urban environment, which allows to take into account the relationship between the urban structure, energy consumption, emissions of pollutants and the intensity of consumption of natural resources. We use this indicator as a tool for forecasting sustainable urban development. Using the example of Poltava city, we have shown that the indicator for assessing the metabolic efficiency of the urban environment can be used as one of the decision-making tools for the sustainable development of Ukrainian cities. The improvement of existing and development of new indicators is an important task towards the implementation of the concept of sustainable development, which is a logical continuation of the teachings of V. I. Vernadsky on the noosphere.

Intelligent Technology for Estimating of Urban Environment Quality

“…The proposed intelligent technology for estimating the sustainable development of urban environment based on an indicator of metabolic efficiency is shown in Fig.4 (Mikhno & Patrakeyev, 2018;Patrakeyev & Ziborov, 2019). The technology consists of four main steps.…”