Search

found 2 results

Research papers, University of Canterbury Library

Geospatial liquefaction models aim to predict liquefaction using data that is free and readily-available. This data includes (i) common ground-motion intensity measures; and (ii) geospatial parameters (e.g., among many, distance to rivers, distance to coast, and Vs30 estimated from topography) which are used to infer characteristics of the subsurface without in-situ testing. Since their recent inception, such models have been used to predict geohazard impacts throughout New Zealand (e.g., in conjunction with regional ground-motion simulations). While past studies have demonstrated that geospatial liquefaction-models show great promise, the resolution and accuracy of the geospatial data underlying these models is notably poor. As an example, mapped rivers and coastlines often plot hundreds of meters from their actual locations. This stems from the fact that geospatial models aim to rapidly predict liquefaction anywhere in the world and thus utilize the lowest common denominator of available geospatial data, even though higher quality data is often available (e.g., in New Zealand). Accordingly, this study investigates whether the performance of geospatial models can be improved using higher-quality input data. This analysis is performed using (i) 15,101 liquefaction case studies compiled from the 2010-2016 Canterbury Earthquakes; and (ii) geospatial data readily available in New Zealand. In particular, we utilize alternative, higher-quality data to estimate: locations of rivers and streams; location of coastline; depth to ground water; Vs30; and PGV. Most notably, a region-specific Vs30 model improves performance (Figs. 3-4), while other data variants generally have little-to-no effect, even when the “standard” and “high-quality” values differ significantly (Fig. 2). This finding is consistent with the greater sensitivity of geospatial models to Vs30, relative to any other input (Fig. 5), and has implications for modeling in locales worldwide where high quality geospatial data is available.

Research Papers, Lincoln University

The quality of public space is vital to livable cities. Yet livable cities also require empowered communities. This thesis asks: how is the landscape architect’s design expertise expressed as part of the public participation process, what are the key features of design expertise that lead to an effective design-based participation process and how does quality in the participation process relate to the quality of design outcomes? A theoretical framework is developed from which to clarify the relationship between decision-making processes in design and public participation. Insights from design theory are combined with the findings of key informant interviews with New Zealand and Northern Europe design experts, and with landscape architects, community and Council staff working in post-earthquake Ōtautahi/Christchurch, Aotearoa/New Zealand. Results of a case study of Albion Square in Ōhinehou/Lyttelton reveal that the designer’s interactions with the public play a critical role in shaping elegant design outcomes in public space design. Four key insights reveal that participatory design processes in New Zealand need to be reconsidered in order to enable landscape architects to work more closely with communities in mutual learning, rather than the currently limiting technical problem solving process. Institutional, professional and theoretical implications are drawn from the findings.