Next Article in Journal
Perception Analysis of E-Scooter Riders and Non-Riders in Riyadh, Saudi Arabia: Survey Outputs
Next Article in Special Issue
Spatial and Temporal Measurement of the Interaction between the County Economy and Rural Transformation in Xinjiang, China
Previous Article in Journal
Clean Development, Energy Substitution, and Carbon Emissions: Evidence from Clean Development Mechanism (CDM) Project Implementation in China
Article

Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development

1
Department of Econometrics, Institute of Informatics and Quantitative Economics, Poznań University of Economics and Business, 61-875 Poznań, Poland
2
Department of Management, Faculty of Social Sciences, Calisia University—Kalisz, 62-800 Kalisz, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Jan K. Kazak
Sustainability 2021, 13(2), 858; https://doi.org/10.3390/su13020858
Received: 25 November 2020 / Revised: 12 January 2021 / Accepted: 13 January 2021 / Published: 16 January 2021
(This article belongs to the Special Issue Sustainable Cities and Regions – Statistical Approaches)
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. View Full-Text
Keywords: spatial analysis; poverty areas; socio-economic inequalities; housing market; statistical analysis spatial analysis; poverty areas; socio-economic inequalities; housing market; statistical analysis
Show Figures

Figure 1

MDPI and ACS Style

Kisiała, W.; Rącka, I. Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development. Sustainability 2021, 13, 858. https://doi.org/10.3390/su13020858

AMA Style

Kisiała W, Rącka I. Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development. Sustainability. 2021; 13(2):858. https://doi.org/10.3390/su13020858

Chicago/Turabian Style

Kisiała, Wojciech, and Izabela Rącka. 2021. "Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development" Sustainability 13, no. 2: 858. https://doi.org/10.3390/su13020858

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop