Latent structures of brownfield regeneration: A case study of regions of the Czech Republic

Autor: Kamila Turečková, Jan Nevima, Pavel Tuleja, Danuta Duda
Rok vydání: 2021
Předmět:
Zdroj: Journal of Cleaner Production. 311:127478
ISSN: 0959-6526
DOI: 10.1016/j.jclepro.2021.127478
Popis: The cycle of development and regeneration of brownfields reflects economic and social development in the given area with an interdependent link to sustainable regional development and urban and environmental responsibility of stakeholders. Regeneration of these abandoned sites provides us with an opportunity to generate new benefits for the whole society that extend beyond its material form. In this regard, the intervention of the public sector is well-grounded, not only by its participating in the brownfield regeneration process but also by supporting and helping the private sector. On the one hand, the uniqueness of each brownfield may limit general approaches to its regeneration, on the other hand, identification of similar and common features of brownfield sets enables to boost the regeneration potential in its initial stage. The objective of our research was to define a set of indicators of brownfield regeneration potential by means of factor analysis including their significance in the regions of the Czech Republic on the NUTS 3 level. The research was based on a set of 572 existing sites recorded in the official brownfield database administered by CzechInvest on 1st March 2020. By applying the factor analysis on a selected data set, it was determined that the most frequent factor distinctive for brownfields is to be their size. The least significant factor proved to be the indicator of former utilization. While the common dominant factor in the regions of Moravia and Silesia was contamination, in the regions of Bohemia it was ownership (67%). The results of our analyses may contribute to setting more effective supporting schemes for brownfield regeneration in individual regions, and also assist in focusing the activities of the public sector more efficiently.
Databáze: OpenAIRE