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Big Data, the Internet of Things, and Smart City Research: A Literature Review and Research Agenda

机译:大数据,物联网和智慧城市研究:文献综述和研究议程

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Cities have always been at the heart of innovation. This is even more crucial in the twenty-first century with the United Nations predictions of a rapid growth in the urban population that may reach about 2.5 billion new people by 2050 [1], This accelerating growth may become unsustainable if the cities rely on the traditional systems to deliver both economic and social resources [2]. Recently, the emergence of cutting-edge tools and technological innovations, including the Internet of Things (IoT), big data analytics (BDA), predictive analytics, and industry 4.0 has created a renewal of interest toward studying cities [3-5]. Indeed, the adoption and use of these new tools and technologies are creating the so-called Smart cities, which can be defined as the 'networked infrastructures to improve economic and political efficiency and enable socio, cultural and urban development' (p. 307) [6]. For example, [7] argued that the use of the 'Internet of Things and big data analytics can develop the smart city and smart industry' [7], and thus, help to ease the current pain points associated with traffic congestion, waste and pollution management, and energy efficiency that may bring the city liveability to new levels that haven't been seen before [2].
机译:城市一直是创新的核心。联合国在21世纪预测,到2050年,城市人口的快速增长可能会达到约25亿新人[1],这一点尤为重要。如果城市依靠城市发展,这种加速增长可能变得不可持续。提供经济和社会资源的传统系统[2]。最近,包括物联网(IoT),大数据分析(BDA),预测分析和工业4.0在内的尖端工具和技术创新的出现,引起了人们对研究城市的兴趣[3-5]。确实,这些新工具和技术的采用和使用正在创建所谓的智慧城市,可以将其定义为“网络化基础设施,以改善经济和政治效率,促进社会,文化和城市发展”(第307页) [6]。例如,[7]认为使用“物联网和大数据分析可以发展智能城市和智能产业” [7],从而有助于缓解当前与交通拥堵,浪费和交通相关的痛点。污染管理和能源效率可能将城市宜居性提升到前所未有的高度[2]。

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