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SMART: A process-oriented methodology for resilient smart cities

机译：SMART：一种面向过程的方法，可用于具有弹性的智慧城市

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Cities are engines of economic prosperity and social development. Rapid urbanization and the impacts of climate change have resulted in increased vulnerabilities in cities. On the other hand, the increasing proliferation of connected devices and distributed monitoring of the environment around us has opened up an opportunity to transform the way we create and manage cities. Contextual evidence of performance, outcome and efficiency can now be readily collected at a higher resolution to aid multi-disciplinary and multi-objective decision-making, enabling optimal evolution of cities against the backdrop of constrained resources and intensified vulnerabilities. This paper first argues that distributed and ubiquitous monitoring is at the heart of smart cities. Insights can be inferred from the gathered data with potential for evidence-based decisions at the required spatial and temporal scales. The paper then discusses the development of a comprehensive but concise frameworks called DICES (data, insights, citizen, evidence and standards) for conceptualizing smart cities. The dimensions of DICES are then translated into a process oriented methodology called SMART (specify, monitor, analyze, resolve and transform) by formalizing key aspects of the smart city process. Generality and scalability of DICES and SMART are demonstrated through the development of REPRO, a risk- and evidence-based platform for resilient and optimal design of buildings and infrastructure in a smart city.
机译：城市是经济繁荣和社会发展的引擎。快速城市化和气候变化的影响导致城市脆弱性增加。另一方面，越来越多的连接设备的增殖和我们周围环境的分布式监测已经开辟了改变我们创造和管理城市的方式的机会。表现，结果和效率的上下文证据可以很容易地收集到更高的决议，以援助多学科和多目标决策，使城市的最佳演变能够反对受约束资源的背景和强烈漏洞。本文首先争辩说，分布式和无处不在的监测是智能城市的核心。可以从收集的数据中推断出洞察力，其具有所需的空间和时间尺度的基于证据的决策。然后，该文件讨论了一个综合但简明的框架的发展，称为DICE（数据，见解，公民，证据和标准），用于概念化智能城市。然后，将骰子的尺寸转换为通过智能城市流程的关键方面的关键方面进行智能（指定，监视，分析，解决和转换）的导向方法。通过开发REPRO，一种风险和基于智能城市建筑物和基础设施的可弹性和最优设计的平台来证明骰子和智能的一般性和智能的可扩展性。

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