Uncovering Patterns of Location of Brownfields to Facilitate Their Regeneration: Some Remarks from the Czech Republic

Kamila Tureckova, Jan Nevima, Jaroslav Škrabal and Stanislav Martinát
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Jan Nevima: Department of Economics and Public Administration, School of Business Administration in Karvina, Silesian University in Opava, Univerzitni Nam. 1934/3, 733 40 Karvina, Czech Republic
Jaroslav Škrabal: Department of Economics and Public Administration, School of Business Administration in Karvina, Silesian University in Opava, Univerzitni Nam. 1934/3, 733 40 Karvina, Czech Republic
Stanislav Martinát: School of Geography and Planning, Glamorgan Building, Cardiff University, King Edward VII Avenue, Cardiff CF10 3WA, UK

Sustainability, 2018, vol. 10, issue 6, 1-14

Abstract: The issue of brownfield regeneration is closely connected to balanced and sustainable development of regions, towns, and cities as it endeavors to reuse buildings and sites that have already lost their original use, but at the same time offers a possibility to generate new beneficial activities for the whole society that exceed just material or physical changes of the brownfield sites. The regeneration of every brownfield is usually a highly site-specific issue and individual and unique impacts of regeneration on the particular locality are obvious. Yet, several patterns in sets of non-regenerated brownfields can be identified. By finding and defining such patterns, a framework of indicators to facilitate brownfield regeneration can be created and the importance and strength of a particular indicator can be defined. By means of the analyses, we are able to recommend various relevant and most suitable approaches with regards to brownfield regeneration in individual regions. We have employed Factor Analysis (FA) for the identification of key factors of brownfield regeneration. In particular, Principal Component Analysis (PCA) was applied to conduct analyses of 1304 non-regenerated brownfields located in seven regions of the Czech Republic (NUTS 3 level). Data were obtained from publicly available brownfield databases of individual regional administrations. By means of Factor Analysis, it was ascertained that the most frequent factor that is typical for the surveyed non-regenerated brownfields is the ownership. The second most frequent factor is the size of the brownfields. As the third factor according to importance, the distance between the location of the individual brownfield and the municipality of extended powers (the so-called small district) was identified. By taking into account the results of the conducted analyses, brownfield regeneration policies of individual regions might be adapted to be more suitably targeted.

Keywords: brownfield; regeneration; factor analysis; principal component analysis (PCA); Czech Republic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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