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A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability
Energy Informatics Pub Date : 2021-03-05 , DOI: 10.1186/s42162-021-00138-8
Simon Elias Bibri

In recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential of data-driven technologies. Indeed, the processes and practices of both of these approaches to urban planning and development are becoming highly responsive to a form of data-driven urbanism, giving rise to a new phenomenon known as “data-driven smart sustainable urbanism.” Underlying this emerging approach is the idea of combining and integrating the strengths of sustainable cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable sustainable cities to optimize, enhance, and maintain their performance on the basis of the innovative data-driven technologies offered by smart cities. These strengths and synergies can be clearly demonstrated by combining the advantages of sustainable urbanism and smart urbanism. To enable such combination, major institutional transformations are required in terms of enhanced and new practices and competences. Based on case study research, this paper identifies, distills, and enumerates the key benefits, potentials, and opportunities of sustainable cities and smart cities with respect to the three dimensions of sustainability, as well as the key institutional transformations needed to support the balancing of these dimensions and to enable the introduction of data-driven technology and the adoption of applied data-driven solutions in city operational management and development planning. This paper is an integral part of a futures study that aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future. I argue that the emerging data-driven technologies for sustainability as innovative niches are reconfiguring the socio-technical landscape of institutions, as well as providing insights to policymakers into pathways for strengthening existing institutionalized practices and competences and developing and establishing new ones. This is necessary for balancing and advancing the goals of sustainability and thus achieving a desirable future.

中文翻译:

未来数据驱动的智能可持续城市的新型模型:平衡和推进可持续性三大目标所需的体制转型

近年来,由于数据驱动技术的公认作用和协同潜力,通过将可持续城市化与智能城市化相结合来实现可持续性的重要改善已变得越来越可行。实际上,这两种用于城市规划和发展的方法的过程和实践都对一种数据驱动的城市主义产生了高度的响应,从而引发了一种称为“数据驱动的智能可持续城市主义”的新现象。这种新兴方法的基础是结合和整合可持续城市和智慧城市的优势,并利用其战略和解决方案的协同作用,以使可持续城市能够在创新数据的基础上优化,增强和维持其绩效的想法智慧城市提供的驱动技术。通过结合可持续城市主义和智慧城市主义的优势,可以清楚地展示出这些优势和协同作用。为了实现这种结合,就增强和新的实践和能力而言,需要进行重大的体制改革。在案例研究的基础上,本文确定,提炼并列举了可持续城市和智慧城市在可持续性三个维度方面的主要利益,潜力和机遇,以及支持可持续发展的平衡所需的关键体制变革。这些方面,以确保在城市运营管理和发展规划中引入数据驱动技术并采用应用数据驱动解决方案。本文是旨在分析,调查,并为未来的数据驱动型智能可持续城市开发一种新颖的模型。我认为,新兴的以数据驱动的可持续性技术已经成为创新的利基市场,正在重新构造制度的社会技术格局,并为决策者提供见识,以加强现有制度化做法和能力以及发展和建立新的做法。这对于平衡和推进可持续发展的目标,从而实现理想的未来是必不可少的。以及为决策者提供见解,以了解加强现有制度化做法和能力以及发展和建立新的做法的能力的途径。这对于平衡和推进可持续发展的目标,从而实现理想的未来是必不可少的。以及为决策者提供见解,以了解加强现有制度化做法和能力以及发展和建立新的做法的能力的途径。这对于平衡和推进可持续发展的目标,从而实现理想的未来是必不可少的。
更新日期:2021-03-05
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