the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mapping vulnerability to climate change for spatial planning in the region of Stuttgart
Abstract. The Stuttgart region in southwest Germany already experiences heat stress and extreme precipitation events. According to German law, spatial planning at the municipal and regional levels has an important role in adapting to such events. However, this is a challenge to achieve alongside other demands on land-use. One important resource to support adaptive planning are spatial risk analyses, which can provide justification for prioritising adaptation and information about where and how to prioritise different measures. Such maps should not just consider information on the nature of the hazards but also on the vulnerability of people and exposed areas. While in theory, this has been recognised and vulnerability analysis methods have been developed, there is a significant gap in linking this research to planning practice in the German context. In this paper, we share insights from developing social vulnerability maps based on an initial analysis of the requirements for such maps from a spatial planning perspective and discuss how such information can be used in planning practice. We propose solutions regarding issues such as spatial resolution, indicator selection, aggregation and complexity, report initial feedback from planners and make recommendations for further bridging the gap between risk and vulnerability research and planning practice.
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Status: open (until 19 Sep 2024)
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CC1: 'Comment on egusphere-2024-1407', Alexander Fekete, 27 Aug 2024
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Publisher’s note: this comment is a copy of RC1 and its content was therefore removed on 30 August 2024.
Citation: https://doi.org/10.5194/egusphere-2024-1407-CC1 -
RC1: 'Comment on egusphere-2024-1407', Alexander Fekete, 29 Aug 2024
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This article uses a spatial assessment of demographic data to assess heat and pluvial flood related social vulnerability in a case in southwestern Germany. The article is very well written and structured, and provides an important addition to the growing field of urban heat related social vulnerability assessments. Methodology is very state of the art and very well argued how decisions were made to simplify the approach or select indicators or data. It is great that the article goes into detail of checking spatial distributions first before selecting indicators. The choice of representation of single indicators over the aggregated index is also very plausible and laudable. Especially well is that spatial planners and thereby users have been integrated into the study from the beginning and that the article is transparent in decisions to select or deselect data and indicators by the planners. The article rightly shows up limitations of existing public data sets such as the census data, in their spatial and temporal resolution in Germany. It is also very helpful to learn how the spatial distribution in cities is different from surrounding rural territories. This type of regional overview and integration of social vulnerability with blue green infrastructure is also an emerging topic. There are only very minor comments and suggestions for improvements that I am listing here below.
376 a verb seems to be missing
very good spatial check of distribution first
also to include feedback of the planners, simplicity, weighting, census data
did the planners also discourage certain variables to use?for the pluvial index; briefly explain why you excluded green spaces. They can have a sponge capacity overall, however, likely being to small in capacity, maybe.
"use-intensity" about line 518-521, please explain more, how you calculated the difference between the forest and the very small park.
Figure 8 caption: add (old age; housing and low income) which makes it more easily readable
549: add a short explanation of your assumptions for an international audience: single-family homes will be replaced by....?
Figure 10: add "heat" to the caption
556 "in" is missing
580 why is this a challenge? Explain with one small example.
This is especially important when it comes to your main conclusions in lines 594-597.
594: adaptation needs: how do you derive that, from what? The text and maps were not about that(?)
595: also very important, but how and where did you derive which measures?
Lines 598-602 are good in this direction, but should be expanded a bit and put before 594Are there flood vulnerability maps missing in the annex?
Citation: https://doi.org/10.5194/egusphere-2024-1407-RC1 -
RC2: 'Comment on egusphere-2024-1407', Anonymous Referee #2, 04 Sep 2024
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Thank you for an interesting read. The paper is very well written and has a few typos. I have very minor comments. Here are my comments for improvement.
1. Abstract: Please add data analysis text.
2. Line80. We start this paper by providing an overview...and planning practice (Section 7.3). " Can be deleted.
3 In urban planning, spatial planning is often seen in the German context. Can the framework apply to other world planning systems? Please add discussion on it.
3. Figure 2. Since vulnerability is a negative term, it is advised environmental justice to injustice (better use Climate injustice).
4. I see some repetition in the analysis and discussion sections. Please reduce redundancy.
Being an urban planner, I am happy that the paper has comprehensively covered spatial planning. Thank you for an insightful paper.
Citation: https://doi.org/10.5194/egusphere-2024-1407-RC2
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