Special Issue "Sustainable Cities and Regions – Statistical Approaches"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: 30 September 2022.

Special Issue Editors

Dr. Joanna A. Kamińska
E-Mail Website
Guest Editor
Department of Mathematics, Wrocław University of Environmental and Life Sciences, Wrocław, Poland
Interests: air pollution; sustainable urban air quality solutions; particulate matters; nitrogen oxides; pollution concentration modeling; traffic modeling; exhaust gasses
Dr. Jan K. Kazak
E-Mail Website1 Website2
Assistant Guest Editor
Institute of Spatial Management, Wrocław University of Environmental and Life Sciences, Grunwaldzka 55, 50-357 Wrocław, Poland
Interests: sustainable cities and regions; adaptation to climate change; environmental impact assessment; natural resource management; resilience; urban design and planning
Special Issues, Collections and Topics in MDPI journals
Dr. Guido Sciavicco
E-Mail Website
Assistant Guest Editor
Department of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy
Interests: pure logic to artificial intelligence and machine learning; applications of artificial intelligence to environmental; social; chemical-physical; and food and water fingerprint extraction problems

Special Issue Information

Dear Colleagues,

The dynamic urbanization leaves a significant mark on the broadly understood quality of life, regardless of the size of the city and the country or continent in which it is located. On the one hand, economic development favors the development of new technologies and availability of many kinds of resources accessible almost without any limits to make life easier. On the other hand, the development of urbanized areas, new transport networks and higher demand for natural resources causes their depletion, pollution of different components of environment, waste production, deforestation, landscape fragmentation, biodiversity losses leading finally to deterioration of living conditions in a longer perspective. Some of these driving forces and pressures as well as responses of the natural environment can be described by characterizing their regularities and patterns. Knowing the quantitative features of many components of socio-environmental systems make it easier to undertake proper actions to mitigate undesirable phenomena. Therefore, various statistical and mathematical techniques (machine learning, regression, classification, spatial analysis and others) can be widely used to solve crucial problems of the current development of cities and regions worldwide to face the challenge of sustainable development at different scales. Mathematical modeling of socio-environmental dependencies allows to draw far-reaching conclusions supporting decision-making process for a more sustainable future. Testing broadly understood statistical hypotheses leads to draw conclusions about the significance of relationships.

This special issue will explore different aspects of ​​urban and regional development with the support of various mathematical and statistical methods. We invite you to publish research carried out all over the world in order to highlight broad perspectives of the domain discussed in this issue.

Relevant topics include but are not limited to the following areas:

  • Urban design and city management,
  • Regional planning and development,
  • Public and private transport,
  • Quality of life and living conditions,
  • Food systems,
  • Pollution of the environment (e.g. air, water, soil),
  • Quality of natural resources,
  • Climate and its changes,
  • Ecological indicators,

with an application of statistical approaches describing these elements.

Dr. Joanna A. Kamińska
Dr. Jan K. Kazak
Dr. Guido Sciavicco
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable city
  • sustainable region
  • indicator-based evaluation
  • quantitative assessment
  • mathematical modeling
  • statistical analysis

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Economic Dependence Relationship and the Coordinated & Sustainable Development among the Provinces in the Yellow River Economic Belt of China
Sustainability 2021, 13(10), 5448; https://0-doi-org.brum.beds.ac.uk/10.3390/su13105448 - 13 May 2021
Viewed by 421
Abstract
This study uses the mutual information method to study economic dependence among the provinces in the Yellow River Economic Belt, constructs the core dependence structure through the maximum spanning tree method, and uses the rolling window method to observe the changes in the [...] Read more.
This study uses the mutual information method to study economic dependence among the provinces in the Yellow River Economic Belt, constructs the core dependence structure through the maximum spanning tree method, and uses the rolling window method to observe the changes in the dependence structure from a dynamic point of view. It has been found that there are extensive economic links among the nine provinces in the Yellow River Economic Belt, but that the degree of economic dependence varies greatly in different time periods. When economic development and the capital market are overheated, the interregional dependence is stronger, while the dependence decreases when economic development is in a state of contraction or when the total demand is relatively reduced. In addition, the phenomenon of geographical clustering of economic dependence is not obvious among provinces in the Yellow River Economic Belt. Most of the provinces maintain strong economic dependence with the economically developed provinces, and the economically developed provinces also maintain strong economic ties with one another. Finally, the implementation of the Yellow River Economic Belt strategy strengthens the economic links between the less developed provinces and the other provinces in the region, and promotes coordinated and sustainable development in the region. Full article
(This article belongs to the Special Issue Sustainable Cities and Regions – Statistical Approaches)
Show Figures

Figure 1

Article
Spatial and Temporal Measurement of the Interaction between the County Economy and Rural Transformation in Xinjiang, China
Sustainability 2021, 13(9), 5318; https://0-doi-org.brum.beds.ac.uk/10.3390/su13095318 - 10 May 2021
Viewed by 642
Abstract
Given the background of urbanization and rural revitalization in the new era, it is important to explore the synergy between regional macroeconomics and rural transformation, as a balanced and coordinated urban–rural relationship must be built to promote regional sustainable development and rural revitalization. [...] Read more.
Given the background of urbanization and rural revitalization in the new era, it is important to explore the synergy between regional macroeconomics and rural transformation, as a balanced and coordinated urban–rural relationship must be built to promote regional sustainable development and rural revitalization. This paper used the spatial econometric model to study the spatiotemporal synergy and interaction between Xinjiang’s county economy and rural transformation from 2007 to 2017. The conclusions were as follows. A clear spatial difference exists between the county economy and the rural transformation level, and regional bulk agricultural products lack competitiveness. The synergy between the county economy and rural transformation is weak, as the county economy is lagging while rural transformation progresses without collaboration, indicating different types of non-equivalence. The county economy has a stronger spatial dependence on rural transformation and insufficient spillover, a stagnating effect, mainly negative driving effects, and unstable interaction effects; while the unstable changes in rural transformation affect the county economy. The urbanization rate, urban wage level, rural employment structure, and planting area per capita were the main influencing factors. It is necessary to deepen rural transformation, consolidate and enhance its stability, cultivate regional growth poles, promote overall development, and promote regional coordination. Full article
(This article belongs to the Special Issue Sustainable Cities and Regions – Statistical Approaches)
Show Figures

Figure 1

Article
Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development
Sustainability 2021, 13(2), 858; https://0-doi-org.brum.beds.ac.uk/10.3390/su13020858 - 16 Jan 2021
Cited by 4 | Viewed by 830
Abstract
One of the main pillars of sustainable urban development at the local scale is to control the social aspect of urban equality of socio-economic systems. A number of studies confirm that poverty in urban space is accompanied by negative phenomena, such as high [...] Read more.
One of the main pillars of sustainable urban development at the local scale is to control the social aspect of urban equality of socio-economic systems. A number of studies confirm that poverty in urban space is accompanied by negative phenomena, such as high unemployment, social pathologies, increased crime rate, or the high level of the decapitalization of space, including the poor condition of housing and municipal infrastructure. However, there is a gap in defining the relation between urban poverty and city structure to control and preferably minimize social inequalities. The aim of the study was to empirically verify the impact of the location of residential properties in relation to poverty-stricken areas in the city. The research covered the housing market in one Polish city (Kalisz) in the years 2006–2018. By applying GIS technologies, we identified the location of each property in relation to poverty areas. The data was subjected to regression analysis, with the use of the hedonic approach based on exponential models. The analysis of data allowed us to conclude that location in a poorer area does affect the prices of new flats, which is not only a contribution to the development of science, but is also information that could be used by developers or property valuers to establish the prices of flats, as well as city managers to avoid pauperization of urban districts. Full article
(This article belongs to the Special Issue Sustainable Cities and Regions – Statistical Approaches)
Show Figures

Figure 1

Back to TopTop