Assessment of the quality (comfort) of the living environment in urban conditions

Фомина, Н. В.; Lugovskoy, Alexander

doi:10.1051/e3sconf/202021009007

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…The research (Fomina & Lugovskoy, 2020 ) analyses the category "quality of the living environment" understood as "the satisfaction of the population with their life in terms of various needs and interests", after analysing the following indicators:…”

Section: Methodsmentioning

confidence: 99%

“…Table 1 Indicators of urban quality according to (Fomina & Lugovskoy, 2020 ) This article aims to compare these indicators and then integrate them with proposals that can lead to a proposal for a set of indicators at the neighborhood scale and potential additions will be considered with the set of indicators already seen in the review. The study and assessment of the quality of the built environment at the level of the neighborhood scale passes through the definition of an evaluation strategy, even before a set of indicators.…”

Section: Methodsmentioning

confidence: 99%

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Assessing built environment quality at neighborhood level in the design, construction and operational phase

Celani¹,

Bolshakov²,

Ciaramella³

et al. 2023

World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium Wmcaus 2022

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The backbone of the research aims to facilitate the study, the implementation, test and validation of an indicator system based on 10 sustainability-driven challenges capable of assessing the quality of a built environment project: building, neighborhood, large urban regeneration of the city. The innovation, in addition to the systemic approach given by the challenges, lies in considering in the matrix of indicators 3 phases of the project life cycle of the built environment: design phase, construction phase and use (production) phase. The scope of the proposed model is the neighborhood, defining a new system specific for this scale within the management of Built Environment..

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Assessing built environment quality at neighborhood level in the design, construction and operational phase

Celani¹,

Bolshakov²,

Ciaramella³

et al. 2023

World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium Wmcaus 2022

View full text Add to dashboard Cite

show abstract

“…These factors consequently impact the computational efficiency and prediction accuracy of the neural network. Fomina et al [7] analyzed the key factors and standards that have a significant impact on the quality of the living environment of the population in their research on urban environmental quality assessment methods and considered that ecological environment, urban planning, landscape and social factors are the main evaluation indicators, each set of factors are calculated quantitatively (based on a set of standards and indicators), at the same time, the category coefficient obtained according to the expert survey results is considered in the calculation process. In the application process of this method, some indicators have a weak impact on the evaluation results, which is only because the evaluators empirically think that these indicators are important, while subjective experience may not be objective and reliable, which leads to deviation in the final evaluation results.…”

Section: Introductionmentioning

confidence: 99%

Research on Evaluation Method of Urban Human Settlement Environment Quality Based on Back Propagation Neural Network

Zhang,

Song

2023

IJACSA

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In order to improve people's living experience, a method for evaluating the quality of urban human settlements based on back propagation neural network is proposed. Firstly, the initial evaluation index system is constructed, the initial evaluation index system is screened, and the final evaluation index system is constructed by using the remaining evaluation indexes. Then, the back propagation neural network is constructed to build an evaluation model, and the evaluation model is trained through the processes of network initialization, hidden layer output calculation and output layer output calculation. Finally, the improved genetic algorithm is used to optimize the back propagation neural network, improve the evaluation performance of the back propagation neural network, and realize the evaluation of human settlements quality. The experimental results show that the accuracy of the evaluation results of urban human settlements quality output by the trained back-propagation neural network model reaches 96.3%, which has a good effect.

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“…The concept of "comfort of the living environment" is interpreted as a measure of subjective feelings and objective state of well-being, formed under the influence of a set of different conditions most favourable for human life and economic activity [1].…”

Section: Introductionmentioning

confidence: 99%

Territorial assessment of the ecological and social comfort of the population living environment of large industrial cities (by the example of Kryvyi Rih)

Kholoshyn

Mantulenko

Burman

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Providing a favourable and comfortable living environment for the population is one of the main tasks of optimising urban development. The level of comfort is formed with the territorial interaction of natural and socio-economic conditions for the region’s development. This interaction is especially manifested in large industrial centres, characterised by a strong negative anthropogenic impact on the environment. The territorial assessment of the comfort of the living environment involves a comprehensive spatial analysis of the population comfort main factors. The purpose of this work is a spatial analysis of the population living comfort of one of the most industrialised regions not only Ukraine, but also Europe – the city of Kryvyi Rih. Functional zoning was carried out using GIS Map Info with the allocation of the following areas: residential zones, public and business zones, industry and warehouse zones, resort and recreation zones. The distribution of the residential area according to the level of comfort of the population living environment was carried out according to 3 groups of factors: transport accessibility, development of social infrastructure and ecological state. The first group characterises the habitat from the point of view of the city’s provision with transport routes for various types of public transport. The second group characterises the population’s social conditions, namely the number of educational, cultural and medical institutions. The third block includes the ecological state of the territory according to the criterion of atmospheric pollution. The method of scoring made it possible to compare individual parts of the area under study across the entire range of natural, ecological and social population comfort. The combination of indicators of the totality of all three groups factors was carried out using overlay operations. As a result of the research, a map characterising the spatial differentiation of indicators of the living comfort in the city of Kryvyi Rih has been created. The specialisation of the city as a large industrial centre has determined the leading role of the group of environmental indicators in the situational model of the living environment comfort in the region.

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Assessment of the quality (comfort) of the living environment in urban conditions

Cited by 3 publications

References 6 publications

Assessing built environment quality at neighborhood level in the design, construction and operational phase

Assessing built environment quality at neighborhood level in the design, construction and operational phase

Research on Evaluation Method of Urban Human Settlement Environment Quality Based on Back Propagation Neural Network

Territorial assessment of the ecological and social comfort of the population living environment of large industrial cities (by the example of Kryvyi Rih)

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