"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."
Following the 2010 and 2011 earthquakes Christchurch is undergoing extensive development on the periphery of the city. This has been driven in part by the large numbers of people who have lost their homes. Prior to the earthquakes, Christchurch was already experiencing placeless subdivisions and now these are being rolled out rapidly thanks to the efficiency of a formula that has been embraced by the Council, developers and the public alike. However, sprawling subdivisions have a number of issues including inefficient land use, limited housing types, high dependence on motor vehicles and low levels of resilience and no sense of place. Sense of place is of particular interest due to its glaring absence from new subdivisions and its growing importance in the literature. Research shows that sense of place has benefits to our feeling of belonging, well-being, and self-identity, particularly following a disaster. It improves the resilience and sustainability of our living environment and fosters a connection to the landscape thereby making us better placed to respond to future changes. Despite these benefits, current planning models such as new urbanism and transit-oriented design tend to give sense of place a low priority and as a result it can get lost. Given these issues, the focus of this research is “can landscape driven sense of place drive subdivision design without compromising on other urban planning criteria to produce subdivisions that address the issues of sprawl, as well as achieving the benefits associated with a strong sense of place that can improve our overall quality of life?” Answering this question required a thorough review of current urban planning and sense of place literature. This was used to critique existing subdivisions to gain a thorough understanding of the issues. The outcomes of this led to extensive design exploration which showed that, not only is it possible to design a subdivision with sense of place as the key driver but by doing this, the other urban planning criteria become easier to achieve.
Prognostic modelling provides an efficient means to analyse the coastal environment and provide effective knowledge for long term urban planning. This paper outlines how the use of SWAN and Xbeach numerical models within the ESRI ArcGIS interface can simulate geomorphological evolution through hydrodynamic forcing for the Greater Christchurch coastal environment. This research followed the data integration techniques of Silva and Taborda (2012) and utilises their beach morphological modelling tool (BeachMM tool). The statutory requirements outlined in the New Zealand Coastal Policy Statement 2010 were examined to determine whether these requirements are currently being complied with when applying the recent sea level rise predictions by the Intergovernmental Panel on Climate Change (2013), and it would appear that it does not meet those requirements. This is because coastal hazard risk has not been thoroughly quantified by the installation of the Canterbury Earthquake Recovery Authority (CERA) residential red zone. However, the Christchurch City Council’s (CCC) flood management area does provide an extent to which managed coastal retreat is a real option. This research assessed the effectiveness of the prognostic models, forecasted a coastline for 100 years from now, and simulated the physical effects of extreme events such as storm surge given these future predictions. The results of this research suggest that progradation will continue to occur along the Christchurch foreshore due to the net sediment flux retaining an onshore direction and the current hydrodynamic activity not being strong enough to move sediment offshore. However, inundation during periods of storm surge poses a risk to human habitation on low lying areas around the Avon-Heathcote Estuary and the Brooklands lagoon similar to the CCC’s flood management area. There are complex interactions at the Waimakariri River mouth with very high rates of accretion and erosion within a small spatial scale due to the river discharge. There is domination of the marine environment over the river system determined by the lack of generation of a distinct river delta, and river channel has not formed within the intertidal zone clearly. The Avon-Heathcote ebb tidal delta aggrades on the innner fan and erodes on the outer fan due to wave domination. The BeachMM tool facilitates the role of spatial and temporal analysis effectively and the efficiency of that performance is determined by the computational operating system.
