Abstract

Assessments of changing risks in the future often focus on climate change alone, and ignore other relevant drivers such as socioeconomic changes. If other relevant drivers are considered at all, expert judgment is often used to create scenarios and the underlying logic is not always apparent. In this paper we describe an algorithm-based method for developing quantitative future scenarios of the built environment in East Anglia, England with a focus on a coastal management unit, designated sub-cell 3b. The four UK Foresight socioeconomic storylines were inputs to the study: World Markets, Local Stewardship, Global Sustainability, and National Enterprise. On the basis of estimated regional demand, the distributions of new residential and nonresidential properties were calculated under all scenarios using a GIS-based multicriteria analysis. The buildings are distributed across a large swath of East Anglia using four attraction factors with different weightings to reflect the storylines. The factors are the e...

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