Integrating urban metabolism and life cycle assessment to analyse urban sustainability
Integrating urban metabolism and life cycle assessment to analyse urban sustainability
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DOI：
10.1016/j.ecolind.2020.106074
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发表时间：
2020-05
影响因子：
6.9
通讯作者：
Simone Maranghi;M. Parisi;A. Facchini;A. Rubino;O. Kordas;R. Basosi
中科院分区：
文献类型：
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作者：
Simone Maranghi;M. Parisi;A. Facchini;A. Rubino;O. Kordas;R. Basosi
近几十年来，城市发展与可持续性概念之间的密切联系变得越来越明显和重要。欧盟关于欧盟城市和联合国2030年可持续发展议程的政策，包括可持续发展目标（SDG） 11：可持续城市和社区，证明了这一点。在日益都市化的背景下，必须找到创新的方法来管理城市生活系统，并建立一种标准方法来评估城市及其基础设施的环境绩效。目前缺乏一种统一和完整的方法来评估考虑到城市复杂性的城市可持续性政策。在本文中，我们通过开发一个适用于城市的多维度量框架，将城市代谢和虱子循环评估方法整合到城市可持续性评估中。我们的目标是提供城市的整体视图，并通过基于复杂系统科学和复杂网络的方法揭示一系列城市维度之间的相互联系。我们还提出了一项具体的调查，以多维视角调查城市，并提出了基于网络中心性措施的关键指标，用于调查和比较一组具体确定的城市维度（如能源、材料、交通）之间的相互联系。最后，以北京为例进行了研究，以展示其潜在的应用前景。
In recent decades, the close correlation between urban development and the concept of sustainability has become increasingly evident and important. This is demonstrated by European Union policies concerning EU cities and the United Nations 2030 Agenda for Sustainable Development, including sustainable development goal (SDG) 11:Sustainable cities and communities. In the context of increasing urbanization, it is essential to find innovative methods to manage urban living systems and to establish a standard method for assessing the environmental performance of cities and their infrastructures. A unified and complete methodology for assessing policies for urban sustainability that takes into consideration urban complexity is currently lacking. In this paper, we integrate the Urban Metabolism and Lice Cycle Assessment approach to assess urban sustainability by developing a multi-dimensional measure framework applied to cities. Our aim is to provide a holistic view of the city and unveiling the interconnections among a set of urban dimensions identified by means of an approach based on complex systems science and complex networks.We also propose a specific survey to investigate the city in a multi-dimensional perspective and suggest key indicators based on network centrality measures for investigating and comparing the interconnections among a set of urban dimensions specifically identified (e.g. energy, material, transport). Finally, a case study based on Beijing is considered to show potential applications.