Improved Cadastral Data Management for Flood Risk Management in A BIM-GIS Compliant Environment by Engaging Stakeholders
Ozgun Balaban (Eindhoven University of Technology)
Andres Gabrie (Eindhoven University of Technology)
Baron Botero (Eindhoven University of Technology)
Ranjith Kuttantharappel Soman (TU Delft - Integral Design & Management)
Pieter Pauwels (Eindhoven University of Technology)
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Abstract
Flood risk management in the Netherlands is increasingly adopting decentralized, participatory approaches involving municipalities, property owners, and citizens. This research investigates the theoretical and practical aspects of integrating semantic 3D city models, Building Information Modeling (BIM), and Geographic Information Systems (GIS) within a unified framework to improve flood resilience. The proposed solution utilizes semantic web technologies to effectively link heterogeneous cadastral, building-level, and urban-scale datasets. Through stakeholder engagement, the study demonstrates enhanced data accuracy, interoperability, and informed decision-making capabilities, highlighting key theoretical advancements and insights gained from practical implementation and evaluation.
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