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: 10.4121/9e6581a4-d5ce-4b94-8642-4774051a2fd8

Cardinali, Marcel (2024): Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9e6581a4-d5ce-4b94-8642-4774051a2fd8.v1

Usage statistics

Categories

• Urban and Regional Planning
• Public Health (excl. Specific Population Health)
• Built Environment and Design
• Health

Keywords

Green Space Mediation social cohesion structural equation modelling well-being

Licence

CC BY 4.0

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Marcel Cardinali

The research objective was to examine if the significant findings between green space, social cohesion and mental health stem from unique green space characteristics or similar mechanisms. This dataset is a correlation matrix of 105 green space indicators gathered in GIS, covering 7 different green space characteristics (surrounding greenness (NDVI 0-1), accessible greenness (NDVI 0-1), accessible green space (m2), accessible green corridors (m2), accessible total green space (m2), sum of green space uses (n), mix of green space uses(n)) in 15 distances from 100 to 1,500 m every 100 m.

History

• 2024-04-12 first online, published, posted

Publisher

4TU.ResearchData

Format

*.xlsx

Associated peer-reviewed publication

Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities

References

• https://repository.tudelft.nl/islandora/object/uuid:697b44bb-0bf5-4e9a-878c-626cdb831bf3?collection=research

Organizations

TU Delft, Faculty of Architecture and the Built Environment, Department of Architectural Engineering +Technology