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Data, code and methodology for our story on how cities can protect their vulnerable populations from extreme weather events

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Extreme weather: how cities can protect the most vulnerable

Cities across the globe are changing to cope with ever more intense heatwaves, heavier storms and flooding. Here's what they can do to protect their most vulnerable populations.

In this repository, you will find the methodology, data and code behind the story that came out of this analysis.

Read the full story on DW.com: EN

Datasets

The file Database.xlsx contains the data our analysis is based on, as well as a complete list of sources used.

The file script.Rmd contains the code used to analyze the CDP and World Risk Report data.

Data Sources

  • CDP 2023 Cities Climate Hazards Questionnaire: A dataset containing self-reported information from over 1000 cities on climate action plans, current and future climate impacts and more. We focused on cities with more than 1 million inhabitants. Data was used to gather information about which climate hazards impact cities most and which groups cities consider most vulnerable to those hazards.
  • World Risk Report trend dataset: The base dataset behind the world risk report was used to visualize how many people are statistically affected by flooding each year, and how vulnerable countries are to such climate hazards.
  • World Resources Institute: This analysis by the World Resources Institute, based on IPCC data, was used to visualize how many additional hot days cities might face under a 2 degree global warming scenario.
  • Verisk Maplecroft Climate Hazard and Vulnerability Index: An excerpt of this dataset was provided to DW to show the climate risk level faced by each region's biggest cities in 2050 under a middle-emissions scenario (SSP2 4.5)

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Data, code and methodology for our story on how cities can protect their vulnerable populations from extreme weather events

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