Print Email Facebook Twitter Easy as Child’s Play? Co-designing a Network-Based Metric for Children’s Access to Play Space Title Easy as Child’s Play? Co-designing a Network-Based Metric for Children’s Access to Play Space Author Teeuwen, R.F.L. (TU Delft Human-Centred Artificial Intelligence) Psyllidis, A. (TU Delft Internet of Things) Contributor Sangiambut, S. (editor) Date 2023 Abstract Accessible outdoor spaces for unsupervised play are important for children’s health. However, parents impose constraints based on their perception of safety, which can have a significant impact on which play spaces are actually accessible to children. Such constraints are not taken into account by widely adopted accessibility indicators that use generic radial buffers or travel distances. We introduce a child’s play accessibility metric, which measures the ease with which children can reach outdoor play spaces without supervision. We developed this metric through an iterative co-design process with experts on the built environment and children’s health, leveraging open data. Our metric considers traffic, natural barriers to children, and a range of playable spaces. It can be used by planners and policymakers to enable large-scale assessments of play space accessibility, identify associated equity issues, and benchmark progress toward healthier environments for all ages. Subject AccessibilityPlay spaceChildrenCo-DesignOpenStreetMap To reference this document use: http://resolver.tudelft.nl/uuid:d82c4b69-8256-4fd0-9b8a-a6dc5127205f DOI https://doi.org/10.17605/OSF.IO/6YR5V Source Proceedings of the 18th International Conference on Computational Urban Planning and Urban Management (CUPUM 2023) Event The 18th International Conference on Computational Urban Planning and Urban Management (CUPUM), 2023-06-20 → 2023-06-22, Montreal, Canada Part of collection Institutional Repository Document type conference paper Rights © 2023 R.F.L. Teeuwen, A. Psyllidis Files PDF Easy_as_Childs_Play_Co_de ... _Space.pdf 1.22 MB Close viewer /islandora/object/uuid:d82c4b69-8256-4fd0-9b8a-a6dc5127205f/datastream/OBJ/view