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: 10.4121/9fc68331-a857-4775-8cd0-cb562a64fc51

Nefs, Merten (2024): Data underlying the publication: 'Applying a logistics cluster typology in spatial planning for circularity: lessons from a Dutch policy lab'. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/9fc68331-a857-4775-8cd0-cb562a64fc51.v2

Version 1 - 2024-02-05

Usage statistics

Categories

• Urban and Regional Planning
• Built Environment and Design

Keywords

circular economy logistics typology policy lab policy tool spatial planning

Geolocation

Time coverage

2022-2023

Licence

CC BY-SA 4.0

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by Merten Nefs

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

• 2024-03-18 published, posted

Publisher

4TU.ResearchData

Format

GEOJSON, CSV, R, PDF

Associated peer-reviewed publication

Applying a logistics cluster typology in spatial planning for circularity: lessons from a Dutch policy lab

Organizations

TU Delft, Faculty of Architecture and the Built Environment