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Practical Decision Aid for Complex Decision Processes: why Strategic Analysis with STAN is not a black box.

机译:复杂决策过程的实用决策辅助:为什么使用STAN进行战略分析不是一个黑匣子。

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The main difficulty in urban planning decision processes is that several aspects must be taken into account simultaneously, together with their consequences. The human mind alone is not able to manage and process all the information correctly or completely. Quantitative models are able to formalize problems and define evaluation functions, providing unbiased analyses focused on the important aspects of the decision. Operations Research models are able to solve complex systems of relations, with the additional possibility of optimizing an objective function. These models have demonstrated to be very useful in urban planning, where decisions must also pass through the delicate process of negotiation, which typically involves several decision makers with conflicting viewpoints. Using for example Mathematical Programming makes it possible a fast evaluation of the different decisions, as well as, of the relations, interactions, and consequences of the alternative decision choices. Sharing this kind of information helps the decision makers to cooperate and find a final common decision. Also transparency and traceability of the decision process are intrinsically guaranteed by the adoption of the formal method. In this paper we discuss this point starting from the origins of the ‘Strategic Analysis’ approach. Then we illustrate the model and the method which are implemented in STAN, a software recently developed to provide a useful operational tool for decision aid in urban planning processes.
机译:城市规划决策过程中的主要困难在于,必须同时考虑多个方面及其后果。单凭人的思想就无法正确或完整地管理和处理所有信息。定量模型能够使问题形式化并定义评估功能,从而提供针对决策重要方面的无偏分析。运筹学模型能够解决复杂的关系系统,并具有优化目标函数的其他可能性。这些模型已被证明在城市规划中非常有用,在城市规划中,决策还必须经过微妙的谈判过程,而谈判过程通常涉及多个观点不一致的决策者。通过使用数学编程,可以快速评估不同的决策,以及其他决策选择之间的关系,交互作用和后果。共享此类信息有助于决策者合作并找到最终的共同决策。通过采用形式化方法,内在地保证了决策过程的透明性和可追溯性。在本文中,我们将从“战略分析”方法的起源出发讨论这一点。然后,我们说明在STAN中实现的模型和方法,STAN是最近开发的一种软件,可为城市规划过程中的决策辅助提供有用的操作工具。

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