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Fully smart cities: Analysis of the city to Smart City transformation process

机译:完全智慧的城市:分析城市向智慧城市的转型过程

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Ever since the birth of the Smart City paradigm, a wide variety of initiatives have sprung up involving this phenomenon: best practices, projects, pilot projects, transformation plans, models, standards, indicators, measuring systems, etc. The question to ask, applicable to any government official, city planner or researcher, is whether this effect is being felt in how cities are transforming, or whether, in contrast, it is not very realistic to speak of cities imbued with this level of intelligence. Many cities are eager to define themselves as smart, but the variety, complexity and scope of the projects needed for this transformation indicate that the change process is longer than it seems. If our goal is to carry out a comparative analysis of this progress among cities by using the number of projects executed and their scope as a reference for the transformation, we could find such a task inconsequential due to the huge differences and characteristics that define a city. We believe that the subject needs simplification (simpler, more practical models) and a new approach. This paper presents a detailed analysis of the smart city transformation process in Spain and provides a support model that helps us understand the changes and the speed at which they are being implemented. To this end we define a set of elements of change called “transformation factors” that group a city's smartness into one of three levels (Low/Medium/Fully) and more homogeneously identify the level of advancement of this process.
机译:自“智慧城市”范例诞生以来,涉及该现象的各种倡议如雨后春笋般涌现:最佳实践,项目,试点项目,转型计划,模型,标准,指标,度量系统等。对于任何政府官员,城市规划人员或研究人员而言,是在城市的转型方式中感受到这种影响,还是相反,谈论拥有这种智能水平的城市是否不是很现实。许多城市都渴望将自己定义为明智的,但是这种转型所需的项目种类,复杂性和范围表明,变更过程比看起来更长。如果我们的目标是通过使用已执行项目的数量及其范围作为转型的参考来对城市之间的进展进行比较分析,那么由于定义城市的巨大差异和特征,我们可能会发现这样的任务是无关紧要的。我们认为,该主题需要简化(更简单,更实用的模型)和新方法。本文对西班牙的智慧城市转型过程进行了详细分析,并提供了一个支持模型,可帮助我们了解变化和实施速度。为此,我们定义了一组称为“转变因素”的变化要素,这些要素将城市的智慧分为三个级别(低/中/完全)中的一个,并更均匀地确定此过程的进展水平。

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