Data-Driven Smart Sustainable Cities of the Future: A Novel Model of Urbanism and Its Core Dimensions, Strategies, and Solutions

IF 0.6 Q4 REGIONAL & URBAN PLANNING
Simon Elias Bibri, J. Krogstie
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引用次数: 11

Abstract

The big data revolution is heralding an era where instrumentation, datafication, and computation are increasingly pervading the very fabric of cities. Big data technologies are seen as a powerful force that has great potential for improving and advancing urban sustainability thanks especially to the IoT. Therefore, they have become essential to the functioning of sustainable cities. Besides, yet knowing to what extent we are actually making any progress towards sustainable cities remains problematic, adding to the conflicting, or at least fragmented, picture that arises of change on the ground in the light of the escalating urbanization trend. In a nutshell, new circumstances require new responses. One of these responses that has recently gained prevalence worldwide is the idea of “data-driven smart sustainable cities.” This paper sets out to identify and integrate the underlying components of a novel model for data-driven smart sustainable cities of the future. This entails amalgamating the prevailing and emerging paradigms of urbanism in terms of their strategies and solutions, namely compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. This amalgamation is grounded in the outcomes of the four case studies conducted on six of the ecologically and technologically leading cities in Europe. This empirical research is part of an extensive futures study, which aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future using backcasting as a strategic planning process. We argue that the proposed model has great potential to improve and advance the contribution of sustainable cities to the goals of sustainability by harnessing its synergistic effects thanks to data-driven technologies and solutions. This new model is believed to be the first of its kind and thus has not been, to the best of our knowledge, produced, nor is it currently under investigation, elsewhere.
数据驱动的未来智慧可持续城市:城市主义的新模式及其核心维度、战略和解决方案
大数据革命预示着一个时代的到来,在这个时代,仪器、数据和计算将越来越多地渗透到城市的方方面面。大数据技术被视为一股强大的力量,在改善和推进城市可持续性方面具有巨大潜力,尤其是物联网。因此,它们对可持续城市的运作至关重要。此外,了解我们在迈向可持续城市的道路上到底取得了多大程度的进展仍然是一个问题,这加剧了在城市化趋势不断升级的背景下出现的冲突,或者至少是支离破碎的变化图景。简而言之,新的情况需要新的反应。其中一个最近在全球范围内流行的回应是“数据驱动的智能可持续城市”的想法。本文旨在确定并整合数据驱动的未来智能可持续城市新模型的基本组成部分。这需要在战略和解决方案方面整合现有的和新兴的城市主义模式,即紧凑型城市、生态城市、数据驱动的智慧城市和环境数据驱动的可持续智慧城市。这种融合是基于对欧洲六个生态和技术领先城市进行的四个案例研究的结果。本实证研究是一项广泛的未来研究的一部分,该研究旨在分析、调查和开发一种新的模型,用于数据驱动的未来智能可持续城市,将回溯作为战略规划过程。我们认为,由于数据驱动的技术和解决方案,该模型具有巨大的潜力,可以通过利用其协同效应来改善和推进可持续城市对可持续发展目标的贡献。据我们所知,这款新车型被认为是同类车型中的第一款,因此没有在其他地方生产,也没有在其他地方接受调查。
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来源期刊
Journal of Futures Studies
Journal of Futures Studies REGIONAL & URBAN PLANNING-
CiteScore
1.50
自引率
12.50%
发文量
0
期刊介绍: The Journal of Futures Studies is a globally-oriented, trans-disciplinary referred journal. Its mission is to develop high-quality, futures-oriented research and thinking based on the evolving knowledge base of Futures Studies. Articles accepted for publication are expected to show an in-depth understanding of the field"s dimensions, content, research perspectives and methods.
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