A large number of businesses that used to be in the centre of Christchurch relocated after the earthquakes. Are they satisfied with their new locations and do they intend to return to the central city? We questioned 209 relocated businesses about their relocation history, present circumstances and future intentions. Many businesses were content with their new premises, despite having encountered a range of problems; those businesses that were questioned later in our survey period were more content. The average business in our sample rated the chances of moving back to the central city as around 50 %, but this varies with the type of business. Building height did not emerge as a major issue, but rents may be. The mix of types of business is likely to be different in the new city centre.
Liquefaction-induced lateral spreading in Christchurch and surrounding suburbs during the recent Canterbury Earthquake Sequence (2010-2011) caused significant damage to structures and lifelines located in close proximity to streams and rivers. Simplified methods used in current engineering practice for predicting lateral ground displacements exhibit a high degree of epistemic uncertainty, but provide ‘order of magnitude’ estimates to appraise the hazard. We wish to compare model predictions to field measurements in order to assess the model’s capabilities and limitations with respect to Christchurch conditions. The analysis presented focuses on the widely-used empirical model of Youd et al. (2002), developed based on multi-linear regression (MLR) of case history data from lateral spreading occurrence in Japan and the US. Two issues arising from the application of this model to Christchurch were considered: • Small data set of Standard Penetration Test (SPT) and soil gradation indices (fines content FC, and mean grain size, D50) required for input. We attempt to use widely available CPT data with site specific correlations to FC and D50. • Uncertainty associated with the model input parameters and their influence on predicted displacements. This has been investigated for a specific location through a sensitivity analysis.
