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.
The coordination of actors has been a major focus for much of the research in the disaster relief humanitarian logistics discipline. While much of this literature focuses on the initial response phase, little has been written on the longer term recover phase. As the response phase transitions into the longer term recover phase the number and types of actors change from predominantly disaster relief NGOs to more commercial entities we argue that humanitarian values should still be part of the rebuild phase. It has been noted that humanitarian actors both cooperate and compete at the same time (Balcik, Beamon, Krejci, Muramatsu and Ramirez, 2010), in a form of behavior that can be described as ‘co-opetition’ (Nalebuff and Brandenburger, 1996). We use a case study approach to examine an organizational model used to coordinate civil and commercial actors for the rebuild of the civil infrastructure for Christchurch, New Zealand following a series of devastating earthquakes in 2010/11. For the rebuild phase we argue that ‘co-opetition’ is a key behaviour that allows the blending of humanitarian and commercial values to help communities rebuild to a new normal. While at this early stage our contribution is limited, we eventually hope to fully elaborate on an organisational model that has been created specifically for the tight coordination of commercial actors and its relevance to the rebuild phase of a disaster. Examining the behaviour of co-opetition and the structures that incentivise this behaviour offers insights for the humanitarian logistic field.
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.
