Delimitation and Prioritization of Climate-Affected Areas Using the Example of a Post-Industrial City

Joachim Bronder (), Anna Kurianowicz, Joanna Piasecka, Janusz Krupanek and Jacek Krzyżak
Additional contact information
Joachim Bronder: Institute for Ecology of Industrial Areas, 6 Kossutha St., 40-844 Katowice, Poland
Anna Kurianowicz: Institute for Ecology of Industrial Areas, 6 Kossutha St., 40-844 Katowice, Poland
Joanna Piasecka: Institute for Ecology of Industrial Areas, 6 Kossutha St., 40-844 Katowice, Poland
Janusz Krupanek: Institute for Ecology of Industrial Areas, 6 Kossutha St., 40-844 Katowice, Poland
Jacek Krzyżak: Institute for Ecology of Industrial Areas, 6 Kossutha St., 40-844 Katowice, Poland

Sustainability, 2024, vol. 16, issue 10, 1-20

Abstract: This study adapted and tested an approach to identifying areas that are particularly vulnerable to climate-related hazards using the example of the post-industrial city of Knurów in Poland. This study applied a multi-criteria method using the analytical hierarchy process based on GIS map data. The analysis was divided into statistical regions defined for the city. Fifteen attributes were defined for each statistical region. The applied methods provided verified spatial information related to specific climate change hazards. The results showed that the most vulnerable areas were the areas with intensive development in the city center and in the southwestern part of the city. Among the 15 attributes, the most significant were T1 (number of inhabitants in zones with a higher potential thermal risk index by statistical district) with a value of 0.163, G2 (percentage of the sum of tree-shaded areas in built-up areas within the territory of a given statistical district) with 0.143 and H3 (number of buildings in areas of drainless basins and 100-year water). This method effectively identified the most vulnerable areas. The use of such a method can help in the preparation of planning documents and urban adaptation plans by determining the thermally and hydrologically vulnerable areas with the least developed green infrastructure as an exposure-mitigating factor.

Keywords: urban climate; urban greenery; exposure to hydrological events; exposure to elevated temperatures; vulnerable areas; urban planning; multi-criteria analysis; analytical hierarchy process; GIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/10/3957/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/10/3957/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:10:p:3957-:d:1391013

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().