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A Unified Smart City Model (USCM) for Smart City Conceptualization and Benchmarking

机译:用于智能城市概念化和基准测试的统一智能城市模型(USCM)

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Smart cities have attracted an extensive and emerging interest from both science and industry with an increasing number of international examples emerging from all over the world. However, despite the significant role that smart cities can play to deal with recent urban challenges, the concept has been being criticized for not being able to realize its potential and for being a vendor hype. This paper reviews different conceptualization, benchmarks and evaluations of the smart city concept. Eight different classes of smart city conceptualization models have been discovered, which structure the unified conceptualization model and concern smart city facilities (i.e., energy, water, IoT etc.), services (i.e., health, education etc.), governance, planning and management, architecture, data and people. Benchmarking though is still ambiguous and different perspectives are followed by the researchers that measure -and recently monitor- various factors, which somehow exceed typical technological or urban characteristics. This can be attributed to the broadness of the smart city concept. This paper sheds light to parameters that can be measured and controlled in an attempt to improve smart city potential and leaves space for corresponding future research. More specifically, smart city progress, local capacity, vulnerabilities for resilience and policy impact are only some of the variants that scholars pay attention to measure and control.
机译:智慧城市吸引了科学界和工业界广泛的新兴兴趣,世界各地涌现出越来越多的国际案例。然而,尽管智慧城市在应对近期城市挑战中可以发挥重要作用,但由于无法充分发挥其潜力以及被厂商炒作而受到批评。本文回顾了智慧城市概念的不同概念,基准和评估。已经发现了八类不同的智慧城市概念化模型,它们构建了统一的概念化模型,并涉及智慧城市的设施(即能源,水,物联网等),服务(即健康,教育等),治理,规划和管理,架构,数据和人员。基准测试仍然是模棱两可的,研究人员遵循不同的观点来测量(并且最近监测)各种因素,这些因素以某种方式超过了典型的技术或城市特征。这可以归因于智慧城市概念的广泛性。本文阐明了可以测量和控制的参数,以试图提高智慧城市的潜力,并为相应的未来研究留出空间。更具体地说,智慧城市的进步,本地能力,抵御能力的脆弱性和政策影响只是学者们在衡量和控制中所关注的一些变体。

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