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Dynamic decision trees for building resilience into future eco-cities

机译:动态决策树,可增强对未来生态城市的适应力

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Intensifying global urbanization and environmental changes bring about the imperative of sustainable urban development and decisions upon inescapable pressures and risks, but knowledge integration between disciplines is a limiting contextual challenge. This paper proposes a reformulation, in terms of urban risk management, of an earlier developed ontological scenario generation method. The procedure consists of several steps: (ⅰ) identification-and-prioritization of main pressures, (ⅱ) paired discussion of pressures using four-cell matrices, (ⅲ) re-visit of the pressures' priority order, (ⅳ) articulation of short-listed pressures as decision-making questions, and (ⅴ) generation of scenarios via "yeso" responses to each question, in their order of priority. In this article, the method feeds upon the general context described in recent multi-disciplinary urban studies and public strategic plans in the city of lasi (Romania), to propose a formal procedure for enabling the acceleration of productive decision making towards city sustainability. Answering three top priority questions, namely "Implement a business-friendly and efficient governance system?", "Develop a resource management system?", and "Carry out a human capital accelerator strategy?" results in a 4-scenario set: Receding City, Wanting City, Promising City, Inspiring City. The scenarios are discussed in terms of systemic risks at the end of post-communist transition and beginning of the socio-economic convergence with Western Europe.
机译:全球城市化和环境变化的加剧带来了城市可持续发展和不可避免的压力和风险的决定的必要性,但是学科之间的知识整合是一个有限的背景挑战。本文从城市风险管理的角度提出了一种重新开发的,较早发展的本体情景生成方法。该过程包括几个步骤:(ⅰ)确定和优先确定主要压力;(ⅱ)使用四单元矩阵对压力进行配对讨论;(ⅲ)重新访问压力的优先顺序;(ⅳ)明确连接压力的顺序。入围的压力作为决策问题,以及(ⅴ)通过对每个问题的“是/否”回答按优先顺序生成情景。在本文中,该方法基于最近在拉西市(罗马尼亚)进行的多学科城市研究和公共战略计划中描述的一般情况,提出了一种正式程序,以加快生产性决策对城市可持续性的发展。回答三个最优先的问题,即“实施对企业友好且高效的治理系统?”,“开发资源管理系统?”和“实施人力资本加速器战略”。结果分为4种情况:后退城市,旺市,有前途的城市,鼓舞人心的城市。在后共产主义过渡结束和与西欧开始社会经济融合之初的系统风险方面对情景进行了讨论。

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