Data underlying the publication: The rhythm of risk: Exploring spatio-temporal patterns of urban vulnerability with ambulance calls data
DOI:10.4121/468af1da-4e27-4d9d-9f80-5d60aa5ccb0d.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: 10.4121/468af1da-4e27-4d9d-9f80-5d60aa5ccb0d
DOI: 10.4121/468af1da-4e27-4d9d-9f80-5d60aa5ccb0d
Datacite citation style:
Sirenko, Mikhail; Comes, Tina; Verbraeck, Alexander (2024): Data underlying the publication: The rhythm of risk: Exploring spatio-temporal patterns of urban vulnerability with ambulance calls data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/468af1da-4e27-4d9d-9f80-5d60aa5ccb0d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
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Categories
Geolocation
Den Haag, Rotterdam, Amsterdam
Time coverage 2017-2019
Licence CC0
This dataset archive contains processed data used to analyze the spatio-temporal patterns of urban vulnerability through ambulance call records. The data focuses on three major Dutch cities: The Hague, Rotterdam, and Amsterdam. It includes:
- Hourly ambulance call data aggregated over three autumn seasons (2017, 2018, and 2019), spatially allocated to 1 km by 1 km grid cells.
- Gridded socio-demographic data, also aligned to 1 km by 1 km cells, provides insights into population characteristics.
- Shapefiles for city boundaries and districts facilitating spatial analysis and visualization.
For a detailed guide on how to work with and analyze the data, please refer to our GitHub repository.
History
- 2024-10-01 first online, published, posted
Publisher
4TU.ResearchDataFormat
csv, jsonAssociated peer-reviewed publication
The rhythm of risk: Exploring spatio-temporal patterns of urban vulnerability with ambulance calls dataReferences
Derived from
Data link
https://alarmeringen.nl/Organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and ServicesDATA
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