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Assessing smartness of smart sustainable cities: A comparative analysis

机译:评估可持续智慧城市的智慧:比较分析

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The concept of Smart Sustainable Cities (SSC) has changed over time leading to alterations in its definition and to an increase in the fuzziness and complexity of the notion of smartness. The latter is a concept regarded differently by Academics, professionals, private sector, governments and other stakeholders. Currently, different SSC initiatives are taking place around the globe to achieve smartness. They focus, in varied degrees, on social development, prosperity, technology infrastructure, quality of life and others. Accordingly, smartness as a notion is not standardized which makes it possible for cities to claim smartness without following a standardized approach or a clear methodology. This research argues that smartness of cities should be captured through a holistic model. The latter takes into consideration integral sustainability among the different systems of the city noting that citizens lie at its core. This research, which builds on a series of related researches undertaken by the same authors, contributes to practice and knowledge and helps researchers and practitioners in the process of assessing smartness of cities. It summarizes a literature review of the existing approaches currently used to assess the performance of SSCs and the results of a thorough comparative analysis indicating that none of them captures holistically the identified elements of smartness. Moreover, it sheds light on the importance of capturing the fulfillment of citizens' needs and their ability to decide on the smart solutions satisfying those needs.
机译:随着时间的流逝,智能可持续城市(SSC)的概念发生了变化,导致其定义发生变化,并且智能概念的模糊性和复杂性增加。后者是学者,专业人士,私营部门,政府和其他利益相关者不同的看法。当前,全球各地正在采取不同的SSC计划来实现智能化。他们在不同程度上关注社会发展,繁荣,技术基础设施,生活质量等。因此,智慧作为一个概念并未得到标准化,这使得城市有可能在不遵循标准化方法或清晰方法的情况下宣称智慧。这项研究认为,应该通过整体模型来捕捉城市的智慧。后者考虑到城市居民在城市核心系统中的可持续性。该研究基于同一作者进行的一系列相关研究,有助于实践和知识,并在评估城市智能度的过程中帮助研究人员和从业人员。它总结了对当前用于评估SSC的性能的现有方法的文献综述,并进行了全面的比较分析的结果表明,这些方法均无法全面捕获所识别的智能要素。此外,它揭示了捕获公民需求的重要性以及他们决定满足这些需求的智能解决方案的能力的重要性。

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