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Risk Analysis of Backahill's Properties in Ängelholm and Båstad

Hilling, Elin LU (2024) In Student thesis series INES NGEK01 20241
Dept of Physical Geography and Ecosystem Science
Abstract
Climate change is an issue affecting societies worldwide. As temperatures, precipitation patterns, and sea levels change, our buildings and properties are in danger. Therefore, it is crucial for real estate companies to adapt their properties to the effects of climate change as they will be impacted. To help companies make environmentally sustainable economic activities, the European Union has implemented the Taxonomy Regulation. This legislative act provides directives for the companies to implement in their operations and choices.

In this study, a methodology by Fastighetsägarna et al. (2023) was used as guidance when implementing the directives of Taxonomy Regulation to the real estate company Backahill. By identifying... (More)
Climate change is an issue affecting societies worldwide. As temperatures, precipitation patterns, and sea levels change, our buildings and properties are in danger. Therefore, it is crucial for real estate companies to adapt their properties to the effects of climate change as they will be impacted. To help companies make environmentally sustainable economic activities, the European Union has implemented the Taxonomy Regulation. This legislative act provides directives for the companies to implement in their operations and choices.

In this study, a methodology by Fastighetsägarna et al. (2023) was used as guidance when implementing the directives of Taxonomy Regulation to the real estate company Backahill. By identifying climate-related risk in the study area, conducting a risk analysis of the properties, deciding on classification thresholds, and classifying the properties, in accordance with the methodology, a risk classification was derived. The risk analysis is based on 12 different risks and was conducted using geographical information systems (GIS). Data for ten of the risks was downloaded into GIS, while the remaining two risks were studied by using interactive maps.

The properties were divided into three risk classes: RC 1, RC 2, and RC 3. The results showed that none of the properties in Ängelholm and Båstad were subjected to the highest risk class, RC 3, 26% of the properties were classified as RC 2, and the remaining 74% belonged to RC 1, the lowest risk class. There was a clear spatial pattern in the distribution of risks, depending on the closeness to a water body and on the closeness to an urban area. This is an initial risk analysis of Backahill’s properties and serves as a solid foundation for further studies on their properties. It may also aid the company in developing climate adaptation strategies. (Less)
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author
Hilling, Elin LU
supervisor
organization
alternative title
Riskanalys av Backahills Fastigheter i Ängelholm och Båstad
course
NGEK01 20241
year
type
M2 - Bachelor Degree
subject
keywords
Taxonomy Regulation (TR), Climate Change, Fastighetsägarna & Byggföretagen, Properties, Backahill, Ängelholm, Båstad
publication/series
Student thesis series INES
report number
642
language
English
additional info
This thesis was written in collaboration with Backahill.
id
9160933
date added to LUP
2024-06-10 14:08:48
date last changed
2024-06-10 14:08:48
@misc{9160933,
  abstract     = {{Climate change is an issue affecting societies worldwide. As temperatures, precipitation patterns, and sea levels change, our buildings and properties are in danger. Therefore, it is crucial for real estate companies to adapt their properties to the effects of climate change as they will be impacted. To help companies make environmentally sustainable economic activities, the European Union has implemented the Taxonomy Regulation. This legislative act provides directives for the companies to implement in their operations and choices. 

In this study, a methodology by Fastighetsägarna et al. (2023) was used as guidance when implementing the directives of Taxonomy Regulation to the real estate company Backahill. By identifying climate-related risk in the study area, conducting a risk analysis of the properties, deciding on classification thresholds, and classifying the properties, in accordance with the methodology, a risk classification was derived. The risk analysis is based on 12 different risks and was conducted using geographical information systems (GIS). Data for ten of the risks was downloaded into GIS, while the remaining two risks were studied by using interactive maps. 

The properties were divided into three risk classes: RC 1, RC 2, and RC 3. The results showed that none of the properties in Ängelholm and Båstad were subjected to the highest risk class, RC 3, 26% of the properties were classified as RC 2, and the remaining 74% belonged to RC 1, the lowest risk class. There was a clear spatial pattern in the distribution of risks, depending on the closeness to a water body and on the closeness to an urban area. This is an initial risk analysis of Backahill’s properties and serves as a solid foundation for further studies on their properties. It may also aid the company in developing climate adaptation strategies.}},
  author       = {{Hilling, Elin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Student thesis series INES}},
  title        = {{Risk Analysis of Backahill's Properties in Ängelholm and Båstad}},
  year         = {{2024}},
}