J 2018

Uncovering patterns of location of brownfields to facilitate their regeneration: Some remarks from the Czech Republic

TUREČKOVÁ, Kamila, Jan NEVIMA, Jaroslav ŠKRABAL a Stanislav MARTINÁT

Základní údaje

Originální název

Uncovering patterns of location of brownfields to facilitate their regeneration: Some remarks from the Czech Republic

Autoři

TUREČKOVÁ, Kamila (203 Česká republika, domácí), Jan NEVIMA (203 Česká republika, domácí), Jaroslav ŠKRABAL (203 Česká republika) a Stanislav MARTINÁT (203 Česká republika)

Vydání

Sustainability, Basel, MDPI, 2018, 2071-1050

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50702 Urban studies

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

UT WoS

000436570100296

Klíčová slova anglicky

brownfield; regeneration; factor analysis; principal component analysis (PCA); Czech Republic
Změněno: 13. 11. 2024 19:36, doc. Ing. Kamila Turečková, Ph.D., MBA

Anotace

V originále

The issue of brownfield regeneration is closely connected to balanced and sustainable development of regions, towns and cities as it endeavors to re-use buildings and sites that already lost their original use, but at the same time offers a possibility to generate new beneficial activities for the whole society that exceeds 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 the strength of a particular indicator can be defined. By means of the analyses we are able to recommend various relevant and the most suitable approaches while thinking about brownfield regeneration in individual regions. We have employed the Factor Analysis (FA) for identification of key factors of brownfield regeneration. In particular, the Principal Component Analysis (PCA) was applied to conduct analyses of 1,304 non-regenerated brownfields located on the areas of seven regions of the Czech Republic (NUTS 3 level). Data were obtained from publicly available brownfield databases of individual regional administrations. By means of the Factor Analysis, it was ascertained that the most frequented factor that is typical for the surveyed non-regenerated brownfields is the ownership. The second most frequented factor is the size of the brownfields. As the third factor according to the 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.