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Understanding the morphology of public open space accessibility: Towards an integrative framework for objective measures and user perceptions

CORDIS · observation · Publication date unknown

s a case study. The project employs an innovative mixed-methods approach, integrating cutting-edge urban morphometrics, GIS-based accessibility analysis, and qualitative go-along interviews. Advanced machine learning techniques and statistical analysis will identify distinct urban form types (UFT) and their relationship to POS accessibility. This data-driven analysis will be complemented by nuanced insights into users’ perceived accessibility, bridging quantitative measurements with lived experiences.The project offers a novel integrative framework to understand POS accessibility and evidence-based policy recommendations for POS-oriented urban retrofitting. The project contributes to UN Sustainable Development Goal 11.7, emphasizing inclusive and accessible public spaces, and offers valuable insights for urban planning practices across EU and globally. public open space, accessibility, urban morphology, urban form typology, morphometrics, machine learning clustering, spatial analysis, perceived accessibility, equitable accessibility, urban policy

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recordType

award

status

SIGNED

region

EU

value

149365.2

unit

EUR