Data underlying the publication: More vulnerable, less resilient? Insights into the spatial-temporal dynamics of vulnerability, resilience and adaptive capacity from the 2019 European heatwave

DOI:10.4121/9d0700b5-cfd8-44a7-a5fd-68cb0c86e8a9.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/9d0700b5-cfd8-44a7-a5fd-68cb0c86e8a9

Datacite citation style

Sirenko, Mikhail; Verbraeck, Alexander; Comes, Tina (2024): Data underlying the publication: More vulnerable, less resilient? Insights into the spatial-temporal dynamics of vulnerability, resilience and adaptive capacity from the 2019 European heatwave. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9d0700b5-cfd8-44a7-a5fd-68cb0c86e8a9.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

54
views
171
downloads

Geolocation

The Hague, Rotterdam, Amsterdam

Time coverage

2019

Licence

CC0

Interoperability

This dataset comprises processed open data utilized to analyze the relationships between urban vulnerability and resilience during the 2019 European heatwave, through ambulance call data. The study concentrates on three major Dutch cities: Amsterdam, Rotterdam, and The Hague. All data included is open access, and relevant links are provided below.


Hourly Ambulance Call Data:

 - Ambulance call records made during the 2019 European heatwave.

 - Spatially allocated to city districts, enabling temporal and spatial analysis of emergency responses during extreme heat events.


District Socio-Demographic Data:

 - Provides insights into population characteristics at the district level.

 - Includes data on income, age distribution, education levels, and other socio-economic factors influencing vulnerability or resilience.


City Boundaries and District Shapefiles:

 - Geospatial data facilitating spatial analysis and visualization.

 - Includes shapefiles for city boundaries and districts to support mapping and spatial correlation studies.


Urban Heat Island (UHI) Effect Data:

 - Sourced from https://www.klimaateffectatlas.nl/, illustrating areas within the cities that experience higher temperatures due to urbanization.

 - Essential for assessing the impact of UHI on public health and emergency services demand.


District-Level Health Data:

 - Obtained from the Dutch National Institute for Public Health and the Environment (https://www.rivm.nl/).

 - Includes factors such as the prevalence of pre-existing health conditions and social isolation (e.g., loneliness), which may affect vulnerability to heatwaves.


Temperature Data:

 - Meteorological data sourced from https://darksky.net/, providing detailed temperature readings.

 - Crucial for analyzing the correlation between temperature fluctuations and ambulance call volumes.


For a comprehensive guide on how to work with and analyze this dataset, please refer to our GitHub repository.


Note that all data is open access and complies with relevant data protection and privacy regulations. Users are encouraged to cite the original data sources when publishing results derived from this dataset.

History

  • 2024-10-02 first online, published, posted

Publisher

4TU.ResearchData

Format

csv, json

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services

DATA

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