Inhaltszusammenfassung

Urban comfort is a multidimensional construct driven by the complex interaction between citizens and their physical environment. Current research often analyzes urban comfort in isolated domains or splits into purely objective technological telemetry versus subjective socio-psychological assessments. To bridge this gap, this paper introduces a comprehensive methodological framework and a mobile, backpack-mounted, low-cost multi-sensor prototype. Designed for "Urban Comfort Walks" the platform...Urban comfort is a multidimensional construct driven by the complex interaction between citizens and their physical environment. Current research often analyzes urban comfort in isolated domains or splits into purely objective technological telemetry versus subjective socio-psychological assessments. To bridge this gap, this paper introduces a comprehensive methodological framework and a mobile, backpack-mounted, low-cost multi-sensor prototype. Designed for "Urban Comfort Walks" the platform synchronously captures 18 objective environmental features - spanning atmospheric, air quality, visual, and spatial data - alongside real-time subjective human feedback via a localized web application. To successfully translate these heterogeneous data streams into a unified comfort model, a novel three-step integrative framework is proposed: (I) EW-AHP triangulation to identify perceptual "mismatch zones", (II) GraphSAGE neural networks for spatial interpolation, and (III) Explainable AI (GraphLIME) paired with qualitative participant narratives to ensure model transparency. As this research currently presents an early-stage prototype and methodological framework, future empirical field trials are planned to validate its feasibility.» weiterlesen» einklappen

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Klassifikation

DFG Fachgebiet:
3.43-02 - Geodäsie, Photogrammetrie, Fernerkundung, Geoinformatik, Kartographie

DDC Sachgruppe:
Geowissenschaften