Matching cities by their climate change measures and blockages profile for mutual-learning.

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  1. Fred Sanders ,  
  2. Claudia Oliveira
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Abstract

More and more cities are working on climate resilience by adding climate adaptive measures to their mitigation programs, but choices must be made and barriers must be overcome, as shown by the extensive research in this area, including our own previously conducted exploratory research ( Sanders & Oliveira, 2020). The motivation for new follow-up research has been to develop an instrument with which cities can compare each other’s climate programs, to find the right city partner to start a process of joint learning from each other. After studying current research classifying cities' climate adaptive measures, implemented or in planning, most research is into processes to help cities find the right measures, it has been concluded that the level of detail on which this research generally focuses is too detailed to help cities comparing to find their matching city partner. That is why it was ultimately decided to extent our own diagram from the aforementioned exploratory research, which is less abstract, with the aim of providing cities with this improved instrument. It should be noted that given the higher level of detail, we should speak of blockages rather than barriers. The recent results of the H2020 Marie Curie 'SOS Climate Waterfront' study were used to test this improved diagram, as data on climate adaptive measures from six European coastal cities recently became available. A test diagram was then generated for each of these cities and matching has been selected to evaluate the diagram, in order to make a well-functioning instrument available. The final conclusion is that the diagram provides a recognizable matching for the six SOS cities, but that improvement of the diagram is recommended during further use.

Plain Language Summary

Most of the world population live in cities (56% in 2022 growing towards 68% in 2050) and most of these cities (70% in the EU) are situated in low-lying areas less than ten meters above the sea. Most of them face the increasing threats associated with climate change. Coastal cities are also growing the fastest, which make millions of people their life’s extra vulnerable for climate change ( UN-Habitat, 2022). This increasing threat occurs in special in these coastal zones more intensely when sea level rises, compounded by heavy rainfall and high river levels occurring simultaneously ( Sanders, 2020a). The trend is that these changes will continue and that means that these cities, must increase their resilience by taking adaptive measures in addition to their contribution to reversing climate change through mitigation measures. In practice, it appears that many of these cities run into barriers/blockages against the implementation of their planned measures ( McKinseyGI, 2021). That is why it makes sense and could be stimulated to these cities to compare each other’s situation to learn about which measures are sensible and how to prevent or overcome such barriers/blockages. The former diagram ( Sanders & Oliveira, 2020) has therefore been improved and tested to offer cities an adequate facilitating tool to reflect their own situation and to enter into dialogue with comparable cities according to their climate change situation and the resistance they encounter by implementing climate adaptation measures.

Corresponding author
Fred Sanders
0000-0003-1180-4656
Grant information

This project has received funding from the European Union’s Horizon 2020 research and innovation pro-gramme under the Marie Skłodowska-Curie grant agreement No 823901.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright
© 2024 Fred Sanders (Corresponding Author, Co-Author); Claudia Oliveira (Co-Author) Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Amendment

With our paper update we make clearer that our research is a spin-off of the H2020 Marie Curie 'SOS Climate Waterfront' program, and therefore contains case studies from this program, by which the results of this program are saved and passed on. From this point of view, we made clearer how this research builds on the previous research and its position in the field of climate adaptation scientific research. Also, we explained that the detail-level of 'blockages' was chosen instead of 'barriers' for better comparing and matching cities with their climate adaptation measures. We added local climate adaptive planning reports for each of the cities by explaining the filled-in diagrams. We haven't changed the layout of the diagram though. The DCBA method has been removed from the title and from the explanation of the diagram, we left that behind to the former publication. Therewith the first chapter, some passages and the summary are totally rewritten, with thanks to our reviewers.

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Authors & roles

Fred Sanders

Noord-Holland, CPONH NGO, Wormer, Noord-Holland, 1531PR, The Netherlands

Roles
Corresponding Author, Co-Author, Conceptualization, Data Curation, Methodology, Project Administration, Validation, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0003-1180-4656

Claudia Oliveira

Noord-Holland, CPONH NGO, Wormer, Noord-Holland, 1531PR, The Netherlands

Roles
Co-Author, Conceptualization, Formal Analysis, Investigation, Methodology, Validation

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