The sustainability assessment of projects : an artificial intelligence approach, with application to Tasmania
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This thesis develops and presents a practical method of assessing the sustainability impact of projects. The research has been motivated by the fact that sustainability is an accepted goal of resource management and planning legislation, and yet we have few tools with which to quantitatively assess sustainability impacts. The history of the sustainability imperative is reviewed, and it is proposed that sustainability be considered in terms of three themes which match the way in which most planners think about sustainability issues, and commission specialist studies: 1. Biodiversity. Biological diversity and integrity. 2. Socio-economic. Well being and equity within and between generations. 3. Physical environmental. Local, regional and global environmental quality. A sustainability assessment method is developed, whereby project impacts are measured using indicators of the sustainability issues associated with the project. This takes advantage of the indicator sets being developed by t
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This thesis develops and presents a practical method of assessing the sustainability impact of projects. The research has been motivated by the fact that sustainability is an accepted goal of resource management and planning legislation, and yet we have few tools with which to quantitatively assess sustainability impacts. The history of the sustainability imperative is reviewed, and it is proposed that sustainability be considered in terms of three themes which match the way in which most planners think about sustainability issues, and commission specialist studies: 1. Biodiversity. Biological diversity and integrity. 2. Socio-economic. Well being and equity within and between generations. 3. Physical environmental. Local, regional and global environmental quality. A sustainability assessment method is developed, whereby project impacts are measured using indicators of the sustainability issues associated with the project. This takes advantage of the indicator sets being developed by t
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