4 research outputs found

    Sustainable urban development: an integrated framework for urban planning and development

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    Sustainable development has long been promoted as the best answer to the world’s environmental problems. This term has generated mass appeal as it implies that both the development of the built environment and its associated resource consumption can be achieved without jeopardising the natural environment. In the urban context, sustainability issues have been reflected in the promotion of sustainable urban development, which emphasises the sensible exploitation of scarce natural resources for urbanisation in a manner that allows future generations to repeat the process. This chapter highlights attempts to promote sustainable urban development through an integration of three important considerations: planning, development and the ecosystem. It highlights the fact that spatial planning processes were traditionally driven by economic and social objectives, and rarely involved promoting the sustainability agenda to achieve a sustainable urban future. As a result, rapid urbanisation has created a variety of pressures on the ecosystem upon which we rely. It is believed that the integration of the urban planning and development processes within the limitations of the ecosystem, monitored by a sustainability assessment mechanism, would offer a better approach to maintaining sustainable resource use without compromising urban development

    Physician prescribing decisions: The effects of situational involvement and task complexity on information acquisition and decision making

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    This research utilized conjoint analysis and an analysis of information acquisition to examine the effects of situational involvement and task complexity on physician's decision-making process. The predictive accuracy of the linear model in predicting drug choice across situations was also assessed. A contingency model for the selection of decision strategies was used as a framework in the study. A sample of forty-eight physicians was asked to indicate their preferences and choices for hypothetical anti-infective drugs. Situational involvement was manipulated by telling physicians in the experimental group via the written scenario to assume that his/her decision would be reviewed and evaluated by peers and (s)he would be asked to justify drug choice. Task complexity was manipulated by varying the number of drug alternatives in a choice set. Results of the study indicated that physicians shifted from using compensatory to noncompensatory decision-making processes when task complexity increased. The effect of situational involvement on the decision-making process was not supported. However, physicians in the two groups were found to differ in choice outcomes and the attention given to specific drug attribute information. Finally, the linear model was found to be robust in predicting drug choice across contexts.physician drug prescribing decision-making process process tracing conjoint analysis
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