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/cb5741c5-0df2-4a3a-b8ed-d808d99bca06

Cardinali, Marcel (2024): URBiNAT Dataset 2 (Neighbourhood Survey Pseudonymised quantitative survey data). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/cb5741c5-0df2-4a3a-b8ed-d808d99bca06.v1

Categories

• Other Built Environment and Design
• Urban and Regional Planning
• Psychology
• Other Environment
• Air Quality
• Public Health (excl. Specific Population Health)
• Built Environment and Design
• Health
• Psychology and Cognitive Sciences
• Environment

Keywords

education environmental quality of life health income mental health physical activity socializing activity

Geolocation

Time coverage

2019, 2021

Licence

Restrictive Licence

Interoperability

• RO-Crate Metadata

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by Marcel Cardinali

This dataset contains 1650 entries of the URBiNAT Neighbourhood survey. The respondents are distributed as follows: Nantes 451, Sofia 450, Porto 458, Hoje-Taastrup 291. It contains 154 columns. The survey covered personal indicators, like sex, gender, education and income, as well as health related indicators such as, self-rated health, mental health, environmental quality of life, physical activity, socialising activity, and social network.

This is a metadata only record. To assess the data and get a detailed description of the indicators visit: https://urbinat.eu/urbinat-observatory/wellbeing-health-dashboard/

History

• 2024-04-16 first online, published, posted

Publisher

4TU.ResearchData

Format

CSV

Associated peer-reviewed publication

Green Health. Examining the role of green space characteristics and their proximity in green space health pathways

References

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

Data link

https://urbinatobservatory.eu

Funding

• Horizon 2020 - SOCIETAL CHALLENGES - Climate action, Environment, Resource Efficiency and Raw Materials (grant code 776783) [more info...] European Commission

Organizations

Technische Hochschule Ostwestfalen-Lippe, University of Applied Sciences and Arts, Institute for Design Strategies

E-mail Name Reason

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