Designing with data for urban resilience

Abstract

The growing availability of spatial data heralds extensive opportunities for urban planning and design. Planning for resilience and enabling positive design outcomes requires transliterate methods of working with data and instigation of systems which can be quickly and iteratively adapted to complex multiple criteria and across multiple geographies. As such, planning support systems are critical to assist decision-makers navigate increasingly large repositories of (big) data, and develop evidence-based, replicable methodologies and easily communicated scenarios that can inform both the planning process and increase community buy-in for behavioural augmentation. To do this, we need to bring together data and information sets in a dynamic way, from disparate and vastly divergent disciplines and sources. This chapter will present a series of exemplars for environmental analysis, predictive modelling and planning support systems, particularly, the Australian Urban Research Infrastructure Network (AURIN): a federated data platform supporting urban research, design and policy formulation.