GreenspaceAccessibility data repository: spatial data underlying the journal paper "Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings"
doi:10.4121/ac5073de-34cb-4e71-a9b2-6e2d65e7ae72.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/ac5073de-34cb-4e71-a9b2-6e2d65e7ae72
doi: 10.4121/ac5073de-34cb-4e71-a9b2-6e2d65e7ae72
Datacite citation style:
Teeuwen, Roos; Psyllidis, Achilleas (2023): GreenspaceAccessibility data repository: spatial data underlying the journal paper "Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ac5073de-34cb-4e71-a9b2-6e2d65e7ae72.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
498
views
127
downloads
geolocation
Amsterdam, Rotterdam and The Hague (The Netherlands)
time coverage
2022
licence
CC BY-NC-SA 4.0
This repository contains spatial data on greenspaces, the zones they are accessible to within walking distance, the surrounding road network, surrouding educational facilities and residential environments, and estimated commuting routes between educational and residential environments. This data was collected through Python, using Jupyter Notebooks, and applies to four cities in The Netherlands: Amsterdam, Rotterdam, The Hague, and Delft. For Delft, only greenspaces and the zones they are accessible to are incorporated, as they were collected as additional examples for a side-project to this research.
history
- 2023-03-21 first online, published, posted
publisher
4TU.ResearchData
format
GeoJSON and other geographical formats
associated peer-reviewed publication
Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings
funding
- Early Environmental quality and life-course mental health effects (grant code 874724) [more info...] European Commission
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centred Artificial Intelligence
DATA
files (1)
- 859,866,749 bytesMD5:
7756dd42d5543345727d3d32657b0aa3
data.zip -
download all files (zip)
859,866,749 bytes unzipped