Determination of the level of sustainable development of the cities - a proposal for a method of classifying objects based on natural breaks

Rząsa, Krzysztof; Ciski, Mateusz

doi:10.31648/aspal.6701

Cited by 7 publications

(8 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the perspective of the overall value, the CVS in Wuchang is distributed within the range of [0.018, 0.728], and the mean is 0.251. By calculating the Goodness of Variance Fit ( 87 , 88 ) (GVF) of the CVS, it can be known that when the number of classifications is equal to 9, it is the inflection point of the GVF curve ( 89 ). Therefore, this study uses the natural breaks method in ArcGIS to divide the CVS into 9 categories.…”

Section: Resultsmentioning

confidence: 99%

Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan

Wan

Sun

2022

Front. Public Health

View full text Add to dashboard Cite

The quality of street space is the comprehensive suitability evaluation from the objective physical environments and the subjective pedestrian perception. Since the existing quality measurement models of street space do not consider both subjective and objective aspects, it is difficult for planners to accurately locate the low-quality streets that need to be regenerated. To solve this problem, this study proposes a new 5D+3S measurement model for street space quality evaluation. This model incorporates the widely acknowledged 5D dimensions of the physical environments (Design, Destination accessibility, Distance to transit, Density, and Diversity), and the 3S dimensions (Sociality, Safety, and Status) of walking perception derived from the keywords clustering on relevant literature. To test the validity of the proposed model, this study makes a comparative analysis on the results of the public assessment, expert scoring, and model measurement to verify whether the measurement results are objective and convincing. The results show that the quality grade obtained by the proposed measurement model is highly consistent with the subjective evaluation outcomes of the public and experts. Thus, the proposed measurement model is effective in quality measurement of the street space, which provides a new idea for future large-scale diagnosis of city public space quality.

show abstract

Section: Resultsmentioning

confidence: 99%

Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan

Wan

Sun

2022

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…Data grading The 23-index data of the counties in Henan Province are used as the input of the BP model. According to the maximum and minimum intervals of the sample data, Natural Breaks (NB) [22] is adopted to divide the data sample into five levels. Among them, 1 represents a high level of comprehensive economic development, 2 represents a medium-to-high level, 3 represents a medium level, 4 represents a medium-low level, and 5 represents a low level.…”

Section: ) Construction Of Evaluation Index Systemmentioning

confidence: 99%

The Analysis of Differential High-Quality Development of Economy by Deep Neural Network and Internet of Things

Liu

2022

IEEE Access

View full text Add to dashboard Cite

This study solves the problems of insufficient objectivity and a large amount of calculation in traditional regional economic development level evaluation methods. The conventional Back Propagation (BP) neural network can easily fall into local extremes and slow convergence speed. Firstly, an improved BP algorithm is proposed. The LM (Levenberg-Marquardt) algorithm optimizes the BP neural network. Secondly, the evaluation model of Henan County's economic development level is constructed based on the improved BP algorithm. Finally, Matlab software is used to design simulation experiments. The BP model is used to evaluate the comprehensive economic development level of 107 counties in Henan Province. The results show that the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Square Error (MSE) of the output of the proposed BP model are 0.9, 1.72, and 3, respectively. This is far lower than other popular algorithms and is more suitable for estimating the comprehensive development level of the region. The overall economic development level of counties in Henan Province is relatively balanced but partially uneven. The polarization of development is more serious. The middle-level and middle-and low-level development counties account for a relatively large area, and the overall distribution characteristics are "convex". This study aims to provide necessary technical support for a more accurate analysis of Henan counties' comprehensive economic development level distribution and then to promote the coordinated development of counties in the province.

show abstract

“…In the All the data concerning the selected factors came directly from Statistics Poland, the central office of government administration in Poland, which collects and shares statistical information on the national level. This data source is reliable and provided by a public institution; it is used in various scientific studies [85].…”

Section: Data Source and Processingmentioning

confidence: 99%

“…The class selection was carried out using the Jenks natural breaks method. This method is one of the most popular data classification methods [85,121,122]; it is used to reduce the variance within classes and to maximize the variance between classes. The comparison of the content of the maps is only possible if equal classification (division into classes) is used [123].…”

Section: Local R 2 Estimatesmentioning

confidence: 99%

“…The first cases of SARS-CoV-2 in Poland were registered in March 2020; to study the phenomenon as widely as possible, case data from two consecutive years (cases from the beginning of the pandemic in 2020 to 31 December 2021) were used.All the data concerning the selected factors came directly from Statistics Poland, the central office of government administration in Poland, which collects and shares statistical information on the national level. This data source is reliable and provided by a public institution; it is used in various scientific studies[85].The research indicating the state of the study area in terms of demographic, social, and environmental conditions often relies on a very broad set of indicators. It is related to the purpose of the research, the thematic and spatial scope, and the level of detail.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Influence of the Demographic, Social, and Environmental Factors on the COVID-19 Pandemic—Analysis of the Local Variations Using Geographically Weighted Regression

Rząsa

Ciski

2022

IJERPH

Self Cite

View full text Add to dashboard Cite

As the COVID-19 pandemic continues, an increasing number of different research studies focusing on various aspects of the pandemic are emerging. Most of the studies focus on the medical aspects of the pandemic, as well as on the impact of COVID-19 on various areas of life; less emphasis is put on analyzing the influence of socio-environmental factors on the spread of the pandemic. In this paper, using the geographically weighted regression method, the extent to which demographic, social, and environmental factors explain the number of cases of SARS-CoV-2 is explored. The research was performed for the case-study area of Poland, considering the administrative division of the country into counties. The results showed that the demographic factors best explained the number of cases of SARS-CoV-2; the social factors explained it to a medium degree; and the environmental factors explained it to the lowest degree. Urban population and the associated higher amount and intensity of human contact are the most influential factors in the development of the COVID-19 pandemic. The analysis of the factors related to the areas burdened by social problems resulting primarily from the economic exclusion revealed that poverty-burdened areas are highly vulnerable to the development of the COVID-19 pandemic. Using maps of the local R2 it was possible to visualize how the relationships between the explanatory variables (for this research—demographic, social, and environmental factors) and the dependent variable (number of cases of SARS-CoV-2) vary across the study area. Through the GWR method, counties were identified as particularly vulnerable to the pandemic because of the problem of economic exclusion. Considering that the COVID-19 pandemic is still ongoing, the results obtained may be useful for local authorities in developing strategies to counter the pandemic.

show abstract

Determination of the level of sustainable development of the cities - a proposal for a method of classifying objects based on natural breaks

Cited by 7 publications

References 41 publications

Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan

Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan

The Analysis of Differential High-Quality Development of Economy by Deep Neural Network and Internet of Things

Influence of the Demographic, Social, and Environmental Factors on the COVID-19 Pandemic—Analysis of the Local Variations Using Geographically Weighted Regression

Contact Info

Product

Resources

About