A video of an address by Antony Gough, Managing Director of Hereford Holdings Ltd, at the 2014 Seismics and the City forum. This talk was part of the Building Opportunities section, and explored commercial development opportunities in Central Christchurch, the constraints, and what needs to be done.
This paper presents the ongoing development of a new 3D seismic velocity model of Canterbury, New Zealand. The model explicitly represents the Canterbury sedimentary basin, and other significant geologic horizons, which are expected to have important implications on observed ground motions. The model utilizes numerous sources of data, including 3D regional tomography with a variable-depth inferred Moho, seismic reflection survey lines, geotechnical boreholes and well logs, spectral analysis of surface waves, and CPT logs which provide velocity constraints over their respective ranges of application. The model provides P- and S-wave velocity and density (i.e. Vp, Vs and p) over a grid of input points, and is presently being utilized in broadband ground motion simulations of the 2010-2011 Canterbury earthquakes. Comparison of simulated ground motions with those observed in the 2010-2011 Canterbury earthquakes will help provide a better understanding of the salient physical processes which characterized the unique set of strong ground motions recorded in this sequence of earthquake events.
"Prior to the devastating 2010-2011 Canterbury earthquakes, the city of Christchurch was already exhibiting signs of a housing affordability crisis. The causes and symptoms were similar to those being experienced in Auckland, but the substantial damage to the housing stock caused by the earthquakes added new dimensions and impetus to the problem. Large swathes of the most affordable housing stock in the east of the city were effectively destroyed by the earthquakes. In itself this would have pushed the mean house price upwards, but compounding problems exacerbated the situation. These include the price effects of reduced supply of both rented and owned housing and increased demand from both displaced residents and an influx of rebuild workers. The need for additional temporary housing while repairs were undertaken and the associated insurance pay-outs bidding up rents with improved rental returns leading to increased interest in property investment. Land supply constraints and consenting issues inhibiting the build of new housing and political infighting and uncertainty regarding the future of parts of the city leading to a flight of development activity to peripheral locations and adjoining local authorities. Concerns that the erosion of the city council rating base combined with inadequacy of insurance cover for infrastructure will lead to large rates increases, increased development costs and reduced amenities and services in future years. These and other issuers will be elaborated on in this paper with a view to exploring the way forward for affordable housing Christchurch City."
Research on human behaviour during earthquake shaking has identified three main influences of behaviour: the environment the individual is located immediately before and during the earthquake, in terms of where the individual is and who the individual is with at the time of the earthquake; individual characteristics, such as age, gender, previous earthquake experience, and the intensity and duration of earthquake shaking. However, little research to date has systematically analysed the immediate observable human responses to earthquake shaking, mostly due to data constraints and/or ethical considerations. Research on human behaviour during earthquakes has relied on simulations or post-event, reflective interviews and questionnaire studies, often performed weeks to months or even years following the event. Such studies are therefore subject to limitations such as the quality of the participant's memory or (perceived) realism of a simulation. The aim of this research was to develop a robust coding scheme to analyse human behaviour during earthquake shaking using video footage captured during an earthquake event. This will allow systematic analysis of individuals during real earthquakes using a previously unutilized data source, thus help develop guidance on appropriate protective actions. The coding scheme was developed in a two-part process, combining a deductive and inductive approach. Previous research studies of human behavioral response during earthquake shaking provided the basis for the coding scheme. This was then iteratively refined by applying the coding scheme to a broad range of video footage of people exposed to strong shaking during the Canterbury earthquake sequence. The aim of this was to optimise coding scheme content and application across a broad range of scenarios, and to increase inter-coder reliability. The methodology to code data will enhance objective observation of video footage to allow cross-event analysis and explore (among others): reaction time, patterns of behaviour, and social, environmental and situational influences of behaviour. This can provide guidance for building configuration and design, and evidence-based recommendations for public education about injury-preventing behavioural responses during earthquake shaking.