43 resultados para Infrastructure sustainability rating tool

em Deakin Research Online - Australia


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Environmental performance assessment or green building rating tools for commercial buildings are one of the more recent responses to encourage green solutions for commercial buildings. This paper discusses the initial stages of a research project that looks at the impact of a rating tool, such as Green Star, on design. There are numerous ways in which an architect can design commercial buildings, but environmental design solutions have consistently failed to become accepted practice. Therefore, how will this tool be incorporated into the building design process? Developed to assist the designer can the inclusion of a rating tool such as Green Star provide an effective framework to encourage the inclusion of environmental design strategies in commercial buildings? A field study, recording the design process of a commercial building, anticipates that a whole building assessment approach towards design, as proposed through the Green Star Rating Tool, will provide an effective framework to set and monitor design targets in order to optimise the environmental design goals in commercial buildings.

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This research examined the inclusion of environmental rating tools in the design of commercial buildings. Environmental issues are becoming increasingly important for designers and the results of the study suggest that rating tools can be an asset to design teams, provided they are integrated and reinforced throughout the design process.

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This document provides guidelines for the Victorian Auditor-General's Office when it comes to propose or evaluate social research in the areas of sampling, questionnaires, interviews, focus groups, consulting with a group, descriptive and inferential statistics, document reviews and non-participatory observation.

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The concept of Ecologically Sustainable Development (ESD) has become an important issue – albeit often scarcely applied – in the design of commercial buildings. To encourage the adoption of sustainable strategies in the practice of design and to address the environmental problems caused by these developments, governments and organisations of various countries have proposed the adoption of scorecard rating tools to inform designers of the impact of their decisions and to present a way of establishing project goals and objectives early in the design process. In Australia, the recent introduction of the Green Star Rating Tool (Office Design) is believed to provide the architects with a ‘whole-of-building’ assessment of the environmental impact of their design by creating a checklist against which to benchmark performance. This paper follows the design of a commercial building, evaluating the impact of Green Star in the overall process. The results of the study suggest the need to include the use of scorecard rating tools in a more integrated model, where ESD is considered at every stage of design and construction rather than being a separate component applied only to promote the ‘greenness’ of a building. Rating tools can be an asset to the design team, provided sustainable requirements are reinforced throughout the entire process.

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The research reported in this paper represents an attempt to produce a practical, indicator-based sustainability assessment tool incorporating all these elements is based on relationships between indicators determined considering spatial influences. Through the use of an existing sustainability indicator set and data currently available, relationships will be determined using Arcview Geographic Information Systems (GIS), correlation analysis and Principal Component Analysis (PCA). Indicator interactions will be identified at two spatial scales and compared to determine impacts of changing spatial scale. Further PCA and multiple regression analyses will then be used to reduce the complexity of the indicator set. These findings will be incorporated into a practical indicator-based assessment tool through the adoption of the Analytic Hierarchy Process (AHP) combined with GIS techniques that will then be validated. Once validated the tool can be used to aid in guiding planning and decision-making regarding sustainable development in the Glenelg Hopkins catchment, Victoria; while also moving towards producing a standard set of procedures for assessing sustainability.

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DeKay’s concept of Integral Sustainable Design (ISD) is based on Integral Theory, a framework proposed by the American philosopher, Ken Wilber. It offers four simultaneous perspectives (represented by quadrants) which each take a different view of the problem. The ‘experiences’ quadrant focuses on individual human experiences. The ‘behaviours’ quadrant looks at environmental performance. The ‘cultures’ perspective focuses on the collective interpretation of meaning, symbolism and worldviews and the ‘systems’ quadrant investigates the response and interaction with context. Integral Theory can act as a reminder for architects of the different perspectives that a sustainable building should address. In order to evaluate ISD, the Waterfront Campus Building of Deakin University has been used as a case study. The building, its performance, impact and perception, has been evaluated using both quantitative and qualitative data. Two surveys have been conducted to gather qualitative data to: (i) determine the experience of building users (staff and students) and (ii) the perception of non-users (Geelong residents and tourists). Data from building services and a site analysis has enabled quantitative assessments to be made. These inputs have been analysed, guided by ISD, to evaluate the usefulness of ISD as a sustainability assessment tool.

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Concern about the growth of greenhouse gas emissions in Victoria has prompted the introduction of legislation to improve the thermal performance of the residential building envelope. Unfortunately, the size of the house is not considered in the rating tool that underpins the legislation. The energy embodied in the constructional materials is also not considered although it too is directly related to the size of the house. Another intrinsic factor relating residential housing energy and greenhouse gas emissions is the location of the residence and the travel preferences of the homeowner. The relationship between the operational, embodied and travel energy associated with a typical residential scenario in Melbourne over the last 50 years is examined in this paper. The analysis found that by the year 2000, the energy associated with work-related travel (44%) now exceeds the operational energy (37%). In terms of greenhouse gas emissions, the contribution from travel energy is almost double that from operational energy (28%).

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There is an increasing complexity and interplay between all of the issues associated with property portfolio decisions. This paper explores the relationships between financial, environmental and social parameters associated with building adaptive reuse by way of a case study. A new model predicting adaptive reuse potential is applied to a heritage building in Hong Kong known as Lui Seng Chun. Such application can assist in the transformation of the building and property industry towards more sustainable practices, strategies and outcomes, by providing a means by which the industry can identify and rank existing buildings that have high potential for adaptive reuse. In Hong Kong's case it provides an ability for sustainable, responsive energy and natural resource management by allowing issues regarding excessive and inappropriate resource use to be identified and assessed, and appropriate management strategies to be implemented. Given the building's current age and condition, Lui Seng Chun has at least 25 years of physical life remaining. The further application of a multi-criteria sustainability evaluation tool supports the conclusion that an adaptive reuse strategy for this building will make a demonstrable contribution to the economic, social and environmental amenity of Hong Kong. The application of these techniques to other buildings with significant "embedded physical life" is highly recommended.

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BACKGROUND: Heart failure is associated with high mortality and hospital readmissions. Beta-adrenergic blocking agents, angiotensin converting enzyme inhibitors (ACEIs), and angiotensin receptor blockers (ARBs) can improve survival and reduce hospital readmissions and are recommended as first-line therapy in the treatment of heart failure. Evidence has also shown that there is a dose-dependent relationship of these medications with patient outcomes. Despite this evidence, primary care physicians are reluctant to up-titrate these medications. New strategies aimed at facilitating this up-titration are warranted. Nurse-led titration (NLT) is one such strategy. OBJECTIVES: To assess the effects of NLT of beta-adrenergic blocking agents, ACEIs, and ARBs in patients with heart failure with reduced ejection fraction (HFrEF) in terms of safety and patient outcomes. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials in the Cochrane Library (CENTRAL Issue 11 of 12, 19/12/2014), MEDLINE OVID (1946 to November week 3 2014), and EMBASE Classic and EMBASE OVID (1947 to 2014 week 50). We also searched reference lists of relevant primary studies, systematic reviews, clinical trial registries, and unpublished theses sources. We used no language restrictions. SELECTION CRITERIA: Randomised controlled trials (RCTs) comparing NLT of beta-adrenergic blocking agents, ACEIs, and/or ARBs comparing the optimisation of these medications by a nurse to optimisation by another health professional in patients with HFrEF. DATA COLLECTION AND ANALYSIS: Two review authors (AD & JC) independently assessed studies for eligibility and risk of bias. We contacted primary authors if we required additional information. We examined quality of evidence using the GRADE rating tool for RCTs. We analysed extracted data by risk ratio (RR) with 95% confidence interval (CI) for dichotomous data to measure effect sizes of intervention group compared with usual-care group. Meta-analyses used the fixed-effect Mantel-Haenszel method. We assessed heterogeneity between studies by Chi(2) and I(2). MAIN RESULTS: We included seven studies (1684 participants) in the review. One study enrolled participants from a residential care facility, and the other six studies from primary care and outpatient clinics. All-cause hospital admission data was available in four studies (556 participants). Participants in the NLT group experienced a lower rate of all-cause hospital admissions (RR 0.80, 95% CI 0.72 to 0.88, high-quality evidence) and fewer hospital admissions related to heart failure (RR 0.51, 95% CI 0.36 to 0.72, moderate-quality evidence) compared to the usual-care group. Six studies (902 participants) examined all-cause mortality. All-cause mortality was also lower in the NLT group (RR 0.66, 95% CI 0.48 to 0.92, moderate-quality evidence) compared to usual care. Approximately 27 deaths could be avoided for every 1000 people receiving NLT of beta-adrenergic blocking agents, ACEIs, and ARBs. Only three studies (370 participants) reported outcomes on all-cause and heart failure-related event-free survival. Participants in the NLT group were more likely to remain event free compared to participants in the usual-care group (RR 0.60, 95% CI 0.46 to 0.77, moderate-quality evidence). Five studies (966 participants) reported on the number of participants reaching target dose of beta-adrenergic blocking agents. This was also higher in the NLT group compared to usual care (RR 1.99, 95% CI 1.61 to 2.47, low-quality evidence). However, there was a substantial degree of heterogeneity in this pooled analysis. We rated the risk of bias in these studies as high mainly due to a lack of clarity regarding incomplete outcome data, lack of reporting on adverse events associated with the intervention, and the inability to blind participants and personnel. Participants in the NLT group reached maximal dose of beta-adrenergic blocking agents in half the time compared with participants in usual care. Two studies reported on adverse events; one of these studies stated there were no adverse events, and the other study found one adverse event but did not specify the type or severity of the adverse event. AUTHORS' CONCLUSIONS: Participants in the NLT group experienced fewer hospital admissions for any cause and an increase in survival and number of participants reaching target dose within a shorter time period. However, the quality of evidence regarding the proportion of participants reaching target dose was low and should be interpreted with caution. We found high-quality evidence supporting NLT as one strategy that may improve the optimisation of beta-adrenergic blocking agents resulting in a reduction in hospital admissions. Despite evidence of a dose-dependent relationship of beta-adrenergic blocking agents, ACEIs, and ARBs with improving outcomes in patients with HFrEF, the translation of this evidence into clinical practice is poor. NLT is one strategy that facilitates the implementation of this evidence into practice.

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This thesis examined the degree to which a self-report personality assessment (MMPI-2) could assess varying underlying facets of psychopathy (as measured by a clinician rating tool, the PCL-R). The results indicated that whilst the MMPI-2 scales used were able to capture some elements of psychopathy, overall these scales were poor measures of the core psychopathic features.

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Decision support tools will be useful in guiding regions to sustainability. These need to be simple but effective at identifying, for regional managers, areas most in need of initiatives to progress sustainability. Multiple criteria analysis (MCA) is often used as a decision support tool for a wide range of applications. This method allows many criteria to be considered at one time. It does this by giving a ranking of possible options based on how closely each option meets the criteria. Thus, it is suited to the assessment of regional sustainability as it can consider a number of indicators simultaneously and demonstrates how sustainability can vary at small scales across the region. Coupling MCA with GIS to produce maps, allows this analysis to become visual giving the manager a picture of sustainability across the region. To do this each indicator is standardised to a common scale so that it can be compared to other indicators. A weighting is then applied to each indicator to calculate weighted summation for each area in the region. This paper argues that this is the critical step in developing a useful decision support tool. A study being conducted in south west Victoria demonstrates that the weights chosen can have a dramatic impact on the results of the sustainability assessment. It is therefore imperative that careful consideration be given to determining indicator weights in a way that is objective and fully considers the impact of that indicator on regional sustainability.

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There is an apparent gap between the LCA or other assessment's outcomes and its effective application in the decision making process. It is needed to provide to the decision makers a simple, less human interfered mechanism that integrates all the key criteria (environmental, economic, technical and safety etc.). The proposed index: Interlink Decision Making Index (IDMI) has all these features: simple, interlink (all criteria) and automatically and quantified influence of critical criteria (ie. no human weighting needed) and is able to assist the multi-criteria decision making for sustainability based on the outcomes of specific assessments (eg. LCA, ElA etc.). The index represents a pure numerical value and does not necessarily have any physical meanings, but it reflects the total merits of a particular option once the normal decision making criteria and (up to two) critical criteria (CC) have been chosen. Then, without arbitrarily weighting process, the comparison and selection of the best possible option, ie. decision can be made based on the derived IDMI results. Two hypothetical examples are presented in part 2 of the paper to demonstrate the application of the IDMI concept and it's differences with the traditional "tabular method" in the decision making process.

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There is an apparent gap between the LCA or other assessment's outcomes and its effective application in the decision making process. It is needed to provide to the decision makers a simple, less human interfered mechanism that integrates all the key criteria (environmental, economic, technical and safety etc.). The proposed index: Interlink Decision Making Index (IDMI) has all these features: simple, interlink (all criteria) and automatically and quantified influence of critical criteria (ie. no human weighting needed) and is able to assist the multi-criteria decision making for sustainability based on the outcomes of specific assessments (eg. LCA, BIA etc.). The index represents a pure numerical value and does not necessarily have any physical meanings, but it reflects the total merits of a particular option once the normal decision making criteria and (up to two) critical criteria (Ce) have been chosen. Then, without arbitrarily weighting process, the comparison and selection of the best possible option, ie. decision can be made based on the derived IDMI results. Two hypothetical examples are presented in the part 2 of the paper to demonstrate the application of the IDMI concept and it's differences with the traditional "tabular method" in the decision making process.

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Regional sustainability is an important focus for natural resource management. Measuring how social and economic systems are progressing to sustainability is therefore a critical need. But it is dependent upon the development of analytical and methodological tools to measure progress, particularly, we argue, at the regional level. Achieving sustainability at the regional scale is important since it's at this scale where social institutions and ecological functioning are most closely linked. However, our recent study that evaluated the effectiveness of current sustainability assessment methods at the regional scale found methods developed for the global, national and state scales are not entirely effective at assessing sustainability at this spatial scale. Following on from this critique, we developed and tested a new method for assessing sustainability, which we believe is applicable at the regional scale. The framework, Sustaining Human Carrying Capacity (SHCC), evaluates the sustainability of regional human activities by considering the pressures these activities have on regional ecosystems. SHCC was tested and evaluated at the regional scale, demonstrating its potential to be an effective method for monitoring sustainability. It also has potential to be used to inform the community and decision makers about the sustainability of their region, and help guide strategic planning to progress sustainability.