Article | Open Access
From Spatial to Platial Decision Support: A Methodological Digital Framework for Urban Experience
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Abstract: Urban planning increasingly seeks to account for how urban spaces are experienced and interpreted by city dwellers and visitors, yet experiential dimensions remain only weakly integrated into planning decision support. This article presents a proof‑of‑concept implementation of a platial decision support system (PDSS) that structures diverse forms of in situ, human‑generated evidence into a planning‑oriented analytical framework. The PDSS operationalises these observations through four analytical levels of increasing resolution. An environmental context layer, together with aggregated self-reported appraisals, establishes a structural baseline for identifying locations that warrant deeper investigation. Level 1 documents salient sensory cues through visual and acoustic observations, while Level 2 interprets these cues through individual and group-specific sense-making, transforming multimodal observations into shared empirical evidence of experiential conflicts, affordances, and planning-relevant priorities. A conceptual Level 3 situates this evidence within planning deliberation, where it can inform stakeholder negotiation and the implementation of planning measures. The framework is demonstrated using a case study in Würzburg, Germany. Results show that locations with comparable environmental characteristics and aggregated appraisal can nevertheless differ substantially in how they are perceived, interpreted, and prioritised by different user groups. Rather than prescribing planning solutions, the PDSS provides a transparent and scalable workflow that translates multimodal urban observations into shared empirical evidence, complementing established spatial analyses and supporting planning deliberation through structured, context-sensitive, and evidence-informed urban planning.
Keywords: decision support system; experience; interdisciplinary; methodological framework; place-person interaction
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Vol 11 (2026): Citizen-Centric Urban Planning Through Participatory Sensing Data and Digital Tools (In Progress)
© Nils Karges, Dominik Kremer, Peter Zeile, Lisa Lehnen, Richard Lemoine-Rodríguez, Ignacio Ubeda Soto, Andreas Neuner, Matthias Gamer, Jürgen Rauh, Marco Schmidt, Gunther Gust, Birgit Wallmann-Sperlich, Ariane Droin, Ninja Schulz, Carolin Biewer, Hannes Taubenböck. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0), which permits any use, distribution, and reproduction of the work without further permission provided the original author(s) and source are credited.