Towards Resilient Cities: Flood Vulnerability Assessment based Adaptive Zoning Approaches

Read full text
Authors: Yitian Ren, Yuxuan Jin, Puyang Li
Cited by: 0

Abstract

This study bridges a critical implementation gap in urban climate adaptation by creating a transparent, rule-based framework to convert Flood Vulnerability Assessment data into actionable zoning decisions for dense coastal megacities. The method operationalizes the "Protect, Accommodate/Adapt, Retreat, Avoid" (PARA) logic into three policy-ready management zones: Core Protection, Buffer (Accommodate/Adapt), and Retreat. We demonstrate the framework along Shanghai's Huangpu River waterfront. Using a 100-m grid and a geospatial database (incorporating DEM-based flood exposure, population density, building coverage, and green-space), we apply unambiguous decision rules. Core Protection is prioritized for high-density areas with severe consequences, warranting hard defenses. Retreat is assigned to areas with extreme exposure and low density, or shallow flooding with low green-space, indicating ecological fragility. The Buffer zone targets the remaining areas for hybrid "grey-green" adaptation measures. The results yield three distinct geographies. The Core Protection zone, with high population and exposure, requires upgraded levees and drainage. The Retreat zone, characterized by high inundation and low green-space, supports relocation and restoration. The largest zone, the Buffer, is ideal for nature-based solutions and resilient retrofits to safely coexist with flooding. Methodologically, this study provides an auditable, transferable GIS workflow using open data. Strategically, it offers cities a practical bridge from risk assessment to targeted action, enabling smarter adaptation under growing climate uncertainty. Limitations include the use of a simplified bathtub flood model, with future work recommended to incorporate hydrodynamic modeling and test the framework in pilot areas.

Publication details

Journal / source
Hong Kong University
Publication date
7 January 2026