2025
Typological Classification and Spatial Analysis of Brownfields. A Case Study from Czechia
ŠKRABAL, Jaroslav; Martina PAVLAČKOVÁ a Jiří FIŠERZákladní údaje
Originální název
Typological Classification and Spatial Analysis of Brownfields. A Case Study from Czechia
Autoři
ŠKRABAL, Jaroslav; Martina PAVLAČKOVÁ a Jiří FIŠER
Vydání
Journal of Settlements and Spatial Planning, 2025, 2248-2199
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50701 Cultural and economic geography
Stát vydavatele
Rumunsko
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 0.300 v roce 2024
Označené pro přenos do RIV
Ne
Organizační jednotka
Moravská vysoká škola Olomouc
Klíčová slova anglicky
brownfields; spatial analysis; land regeneration; site typology; spatial planning
Změněno: 30. 1. 2026 09:24, Ing. Michaela Nováková
Anotace
V originále
This study examines the regeneration potential of brownfield sites in Czechia from a spatial and typological perspective. It aims to identify the key physical and locational characteristics that influence the redevelopment of such sites, based on data from the National Brownfield Database managed by CzechInvest. The analysis includes 653 brownfield sites recorded as of December 2024. Using descriptive statistics and spatial analysis in the R environment (packages sf and ggplot2), the study evaluates variables such as site area, ownership type, former land use, level of environmental contamination, and proximity to selected transport nodes (cadastral centres, public transport stops, railway stations, and first-class roads). The results reveal substantial regional differences in the distribution and typology of brownfields. Large, contaminated, and privately owned sites are more likely to be located in peripheral areas with low investment attractiveness. In contrast, smaller, publicly owned sites with better transport accessibility tend to have higher regeneration potential. The study proposes a new analytical framework for spatial planning and regional development, enabling more targeted identification of priority sites for redevelopment while also addressing structural barriers that may hinder the regeneration process.