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Articles, UC QuakeStudies

A plan which provides SCIRT with clear direction and guidelines regarding communication in the event of a crisis. The first version of this plan was produced on 1 December 2013. Note that personal details of key personnel have been removed from this document.

Articles, UC QuakeStudies

A plan which outlines the function, roles and responsibilities of SCIRT during an emergency event affecting SCIRT construction works. The first version of this plan was produced on 30 April 2012. Note that personal details of key personnel have been removed from this document.

Images, UC QuakeStudies

Bricks from a demolished chimney lie on top of thick liquefaction silt in front of a house in St Albans. The photographer comments, "Our friend Chris Hutching's house. The front lawn and carport have 30cm or more of silt piled on top. He also had to remove a shaky chimney".

Images, UC QuakeStudies

Bricks from a demolished chimney lie on top of thick liquefaction silt in front of a house in St Albans. The photographer comments, "Our friend Chris Hutching's house. The front lawn and carport have 30cm or more of silt piled on top. He also had to remove a shaky chimney".

Images, eqnz.chch.2010

Victoria Apartments demolition is under way on a walk around the city to find out what is happening in the city. Feb 17, 2014 Christchurch New Zealand. "soft-stripped", which means that any remaining belongings will be removed, as well as furnishings and internal walls.

Articles, UC QuakeStudies

A document which explains the pre-approval process for specialist lining contractors working on the SCIRT horizontal repair programme.This document has had sections removed and redacted to protect contractors' commercial interests.For a current list of approved contractors authorised to carry out lining works on Christchurch City Council assets, contact the Council.

Research Papers, Lincoln University

Orientation: Large-scale events such as disasters, wars and pandemics disrupt the economy by diverging resource allocation, which could alter employment growth within the economy during recovery. Research purpose: The literature on the disaster–economic nexus predominantly considers the aggregate performance of the economy, including the stimulus injection. This research assesses the employment transition following a disaster by removing this stimulus injection and evaluating the economy’s performance during recovery. Motivation for the study: The underlying economy’s performance without the stimulus’ benefit remains primarily unanswered. A single disaster event is used to assess the employment transition to guide future stimulus response for disasters. Research approach/design and method: Canterbury, New Zealand, was affected by a series of earthquakes in 2010–2011 and is used as a single case study. Applying the historical construction–economic relationship, a counterfactual level of economic activity is quantified and compared with official results. Using an input–output model to remove the economy-wide impact from the elevated activity reveals the performance of the underlying economy and employment transition during recovery. Main findings: The results indicate a return to a demand-driven level of building activity 10 years after the disaster. Employment transition is characterised by two distinct periods. The first 5 years are stimulus-driven, while the 5 years that follow are demand-driven from the underlying economy. After the initial period of elevated building activity, construction repositioned to its long-term level near 5% of value add. Practical/managerial implications: The level of building activity could be used to confidently assess the performance of regional economies following a destructive disaster. The study results argue for an incentive to redevelop the affected area as quickly as possible to mitigate the negative effect of the destruction and provide a stimulus for the economy. Contribution/value-add: This study contributes to a growing stream of regional disaster economics research that assesses the economic effect using a single case study.