Tourism is New Zealand’s fourth largest industry, providing jobs for thousands of New
Zealanders and significant foreign capital for the nation’s economy. Of concern to ministry and industry
decision makers is the “spatial yield” of these tourists which takes into account the spatial and temporal
contributions of their movements in terms of economic, cultural and environmental impacts. We have
developed an agent-based model of tourism movements to simulate these impacts and to allow for the
evaluation of different scenarios (such as increases in petrol prices or variations in currency exchange rates)
on the behaviours of those tourists. In order to develop realistic and grounded heuristics for the model,
interview protocols were developed in order to identify the key drivers in tourists’ decision making process.
Artificial Neural Networks (ANN) as a tool offers opportunities for modeling the inherent complexity and uncertainty associated with socio-environmental systems. This study draws on New Zealand ski
fields (multiple locations) as socio- environmental systems while considering their perceived resilience to low
probability but potential high consequences catastrophic natural events (specifically earthquakes). We gathered
data at several ski fields using a mixed methodology including: geomorphic assessment, qualitative interviews,
and an adaptation of Ozesmi and Ozesmi’s (2003) multi-step fuzzy cognitive mapping (FCM) approach. The data
gathered from FCM are qualitatively condensed, and aggregated to three different participant social groups. The
social groups include ski fields users, ski industry workers, and ski field managers. Both quantitative and
qualitative indices are used to analyze social cognitive maps to identify critical nodes for ANN simulations. The
simulations experiment with auto-associative neural networks for developing adaptive preparation, response and
recovery strategies. Moreover, simulations attempt to identify key priorities for preparation, response, and
recovery for improving resilience to earthquakes in these complex and dynamic environments. The novel mixed
methodology is presented as a means of linking physical and social sciences in high complexity, high uncertainty
socio-environmental systems. Simulation results indicate that participants perceived that increases in Social
Preparation Action, Social Preparation Resources, Social Response Action and Social Response Resources have
a positive benefit in improving the resilience to earthquakes of ski fields’ stakeholders.
Predictive modelling provides an efficient means to analyse the coastal environment and generate knowledge for long term urban planning. In this study, the numerical models SWAN and XBeach were incorporated into the ESRI ArcGIS interface by means of the BeachMMtool. This was applied to the Greater Christchurch coastal environment to simulate geomorphological evolution through hydrodynamic forcing. Simulations were performed using the recent sea level rise predictions by the Intergovernmental Panel on Climate Change (2013) to determine whether the statutory requirements outlined in the New Zealand Coastal Policy Statement 2010 are consistent with central, regional and district designations. Our results indicate that current land use zoning in Greater
Christchurch is not consistent with these predictions. This is because coastal hazard risk has not been thoroughly quantified during the process of installing the Canterbury Earthquake Recovery Authority residential red zone. However, the Christchurch City Council’s flood management area does provide an extent to which managed coastal retreat is a real option. 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.
The aftermath of three earthquakes has forced Christchurch to re-plan and rebuild. New perspectives of a sustainable city have arisen granting Christchurch the chance of becoming an example to the world. This work is centred on bioclimatic landscape design as a base for greening strategies. It deals with strategic landscape design adapted to a specific climate, from a user’s perspective. The investigation will be applied to Christchurch’s urban centres, assessing cultural adaptability to the local climate and implications for landscape design. Climatic data shows that humidity is not a local problem. However, the wind is the determinant. In Christchurch the solar radiation and the prevailing winds are the most important microclimatic variables, the latter intensifying the loss of surface heat, decreasing the radiant temperature and affecting thermal sensation.
The research objective is to explore design parameters at the street-scale and identify ways to maximise thermal comfort in outdoor spaces through design-based strategies. The investigation will apply methods of participant observation, depth interviews, climatic data collection and design experimentation based on thermal comfort models and computer simulation tools. Case study sites chosen for investigation are places with current levels of activity that may be anticipated in the rebuild of the central city. The research will have two main outcomes: improved understanding of local urban culture adaptation to microclimate, and a demonstration of how design can enhance adaption. These outcomes will inform designers and city managers about good design practices and strategies that can be used to ensure a long term liveable city.
