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PART IV: URBAN SEASCAPING

Introduction to Part IV

Part IV consolidates the learnings from the previous chapters and seeks to mobilise these in an effort to assess Kanten/The Edge design competition brief and its entries. Using these entries as design data, the chapter further develops the principles of Urban Seascaping by presenting a hybrid network mapping tool through which the entries may be analysed. As such, the learnings from Kanten/The Edge competition are here used to explore what it means to integrate marine life forms into urban development. In doing so, the chapter emphasises how this integration can address climate change-related impacts (RQ1), innovate the LUDP disciplines towards this green-blue transition (SRQ1) and formulate appropriate methodological visual tools that can help establish solutions for the future (SRQ2).

To assess and project Kanten/The Edge competition entries; two Kumu maps were developed. First, the Multiscalar map (MAP1) offers a deep site analysis that may assess the competition entries. Second, the Temporal-Projective map (MAP3) is based on the learnings from the multiscalar map to understand how past decisions on urban development affect Vejle’s current situation with water. The learnings from both maps help to speculate a possible future scenario for Vejle’s urban development based on the four main Urban Seascaping propositions. This means taking the Kanten/The Edge project further in scope, thereby projecting what it means to incorporate larger-scale marine nature-based solutions and waterfront development using seaweed as the main representative actor. The future timeline (MAP3) responds to the urgency of the IPCC deadlines and Vejle Municipality’s storm surge strategy.

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Figure 103. A flow chart describing the various moments of design research from Prominski (2019) (refer to section 2.2 for more information). Urban Seascaping evolves throughout the different moments in this research. In Part IV of the monograph, USS is part of the “Reflective and Projective” moments, mainly as a conceptual framework and as a mapping tool (via Kumu).

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