J 2025

Typological Classification and Spatial Analysis of Brownfields. A Case Study from Czechia

ŠKRABAL, Jaroslav; Martina PAVLAČKOVÁ and Jiří FIŠER

Basic information

Original name

Typological Classification and Spatial Analysis of Brownfields. A Case Study from Czechia

Authors

ŠKRABAL, Jaroslav; Martina PAVLAČKOVÁ and Jiří FIŠER

Edition

Journal of Settlements and Spatial Planning, 2025, 2248-2199

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50701 Cultural and economic geography

Country of publisher

Romania

Confidentiality degree

is not subject to a state or trade secret

Impact factor

Impact factor: 0.300 in 2024

Marked to be transferred to RIV

No

Organization unit

Moravian Business College Olomouc

Keywords in English

brownfields; spatial analysis; land regeneration; site typology; spatial planning
Changed: 30/1/2026 09:24, Ing. Michaela Nováková

Abstract

In the original language

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.