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/ac5073de-34cb-4e71-a9b2-6e2d65e7ae72

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

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Categories

• Urban and Regional Planning
• Built Environment and Design

Keywords

Activity setting Betweenness Exposure Greenspace Spatial accessibility Street network

Geolocation

Time coverage

2022

Licence

CC BY-NC-SA 4.0

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by Roos Teeuwen , Achilleas Psyllidis

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

References

• https://github.com/rflteeuwen/GreenspaceAccessibility

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