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Research papers, Victoria University of Wellington

We measure the longer-term effect of a major earthquake on the local economy, using night-time light intensity measured from space, and investigate whether insurance claim payments for damaged residential property affected the local recovery process. We focus on the destructive Christchurch earthquake of 2011 as our case study. In this event more than 95% of residential housing units were covered by insurance, but insurance payments were staggered over 5 years, enabling us to identify their local impact. We find that night-time luminosity can capture the process of recovery and describe the recovery’s determinants. We also find that insurance payments contributed significantly to the process of economic recovery after the earthquake, but delayed payments were less affective and cash settlement of claims were more affective in contributing to local recovery than insurance-managed rebuilding.

Research papers, Lincoln University

The study contributes to a better understanding of utilisation and interaction patterns in post-disaster temporary urban open spaces. A series of devastating earthquakes caused large scale damage to Christchurch’s central city and many suburbs in 2010 and 2011. Various temporary uses have emerged on vacant post-earthquake sites including community gardens, urban agriculture, art installations, event venues, eateries and cafés, and pocket parks. Drawing on empirical data obtained from a spatial qualities survey and a Public Life Study, the report analyses how people used and interacted with three exemplary transitional community-initiated open spaces (CIOS) in relation to particular physical spatial qualities in central Christchurch over a period of three weeks. The report provides evidence that users of post-disaster transitional community-initiated open spaces show similar utilisation and interaction patterns in relation to specific spatial qualities as observed in other urban environments. The temporary status of CIOS did apparently not influence ‘typical’ utilisation and interaction patterns.