Data underlying the publication: 'Applying a logistics cluster typology in spatial planning for circularity: lessons from a Dutch policy lab'

doi: 10.4121/9fc68331-a857-4775-8cd0-cb562a64fc51.v1
The doi 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: 10.4121/9fc68331-a857-4775-8cd0-cb562a64fc51
Datacite citation style:
Nefs, Merten (2024): Data underlying the publication: 'Applying a logistics cluster typology in spatial planning for circularity: lessons from a Dutch policy lab'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9fc68331-a857-4775-8cd0-cb562a64fc51.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset includes two parts:


  1. Suitability maps used in the Grip programme, including the underlying multicriteria weights, their explanations and geodata files.
  2. Qsort data and Qmethod analysis script, concerning agreement of survey respondents with regard to 25 statements.
history
  • 2024-02-05 first online, published, posted
publisher
4TU.ResearchData
format
GEOJSON, CSV, R, PDF
organizations
TU Delft, Faculty of Architecture and the Built Environment

DATA

files (5)