Author(s): Naomi Clara Hanakata; Xuelu Wang
Linked Author(s):
Keywords: Daptive Planning Integrated Coastal Zone Management 4D Planning Climate Change Adaptation
Abstract: As urban coastal zones face increasing pressure from climate change, sea-level rise, and socio-economic growth, developing robust strategies for long-term adaptive planning is critical to ensuring resilience. This research specifically addresses the challenges of urban coastal zones by considering the multi-stressors and dynamic conditions that characterise coastal areas. It transgresses a conventional planning approach by making time a key planning parameter to allow for the incorporation of uncertainties into the planning process and the possibilities for multiple, optimal outcomes. Considering and negotiating various critical factors determining the baseline for coastal planning strategies is a complex procedure with multiple, interdependent, mutually contradictory or reinforcing parameters. Creating a framework that brings these parameters together to determine their relationships and their dynamics over time would allow the creation of adaptive, place-specific design proposals for the near, medium and long-term future of urban coastal zones. Furthermore, working with scenario planning and allowing for outcomes to feed back into early-stage decision criteria, this methodology not only enhances the adaptability of urban coastal designs but also contributes to more resilient and sustainable outcomes. This research highlights the importance of innovative planning methods in addressing the challenges posed by climate change. The proposed approach offers significant contributions to both water engineering and socio-economic considerations by framing planning as a continuous and adaptive process. Ultimately, this research aims to advance the discourse on adaptive planning and climate change adaptation, helping urban coastal areas become more resilient to evolving environmental conditions while supporting the Sustainable Development Goals (SDGs).
Year: 2025