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'Cities go smart!': A system dynamics-based approach to smart city conceptualization

机译:'城市聪明!':基于系统动态的智能城市概念化方法

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摘要

The world's population has grown rapidly. Thus, new challenges have arisen in terms of people's quality of life, natural resources renewal, and urban environment sustainability. The smart city concept was developed to deal with these challenges by incorporating new technologies in order to find solutions that preserve cities' environment while promoting their residents' wellbeing. However, for cities to be truly "smart", they should be evaluated, and, to that end, determinants that facilitate their creation need to be identified. This study thus sought to combine cognitive mapping and the system dynamics approach to find which factors foster smart city success, as well as the cause-and-effect relationships among these determinants. In two groupwork sessions, a panel of experts identified a wide range of smart city determinants and analyzed the dynamics of their relationships. The results were validated by the panel members and senior representatives of Cascais and ' Evora City Councils, Portugal, who confirmed that the analysis system developed provides a deeper understanding of this research context. The advantages and limitations of the proposed framework are also discussed.
机译:世界的人口迅速增长。因此,在人们的生活质量,自然资源更新和城市环境可持续性方面出现了新的挑战。通过融入新技术来开发智能城市概念,以解决这些挑战,以找到保护城市环境的解决方案,同时促进居民的福祉。但是,对于真正“聪明”的城市,应评估它们,并为此,需要确定有助于其创作的决定因素。这项研究因此寻求结合认知映射和系统动态方法,以找到促进智能城市成功的哪些因素,以及这些决定因素之间的原因和效应关系。在两个集团组会议中,专家小组确定了广泛的智能城市决定因素,并分析了其关系的动态。结果由小组成员和Cascais和'Evora市议会,葡萄牙的高级代表验证,他证实了分析系统开发的对该研究的了解提供了更深入的了解。还讨论了所提出的框架的优点和局限性。

著录项

  • 来源
    《Journal of Cleaner Production》 |2021年第1期|127683.1-127683.15|共15页
  • 作者单位

    Univ Inst Lisbon ISCTE Business Sch Ave Forcas Armadas P-1649026 Lisbon Portugal;

    Univ Inst Lisbon ISCTE Business Sch BRU IUL Ave Forcas Armadas P-1649026 Lisbon Portugal|Univ Memphis Fogelman Coll Business & Econ Memphis TN 38152 USA;

    Shanghai Maritime Univ China Inst FTZ Supply Chain Shanghai 201306 Peoples R China|Yonsei Univ Yonsei Frontier Lab Seoul South Korea|Univ Southern Denmark Danish Inst Adv Study Dept Technol & Innovat Ctr Sustainable Supply Chain Engn Campusvej 55 Odense M Denmark;

    Univ Inst Lisbon ISCTE Business Sch BRU IUL Ave Forcas Armadas P-1649026 Lisbon Portugal;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cognitive mapping; Decision support; Energy and environment; Smart city; System dynamics; Technology;

    机译:认知映射;决策支持;能量和环境;智能城市;系统动力学;技术;

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