基于投入产出表的代谢性城市系统生态网络分析:维也纳市模型开发与案例研究

O. Galychyn , B.D. Fath , E. Buonocore , P.P. Franzese
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引用次数: 5

摘要

伴随着城市和地区的健康问题和其他全球环境问题的快速经济增长,促进了“城市新陈代谢”话题在学术界和政策制定者中的流行。目前,全球56.2%的人口居住在城市,占全球GDP的80%。据预测,目前世界经济增长加上人口增长和移徙的趋势将继续影响城市的资源生产和消费,并对其他城市地区产生影响。本文提出了一种新的模型方法,将能量投入产出表与生态网络分析相结合,以研究城市总体代谢,并将其应用于奥地利维也纳。这种新颖的方法使研究人员能够沿着城市经济中以及城市经济与环境之间交换的生态和社会经济流动的所有可能的代谢路径研究部门的层次结构和功能关系。然后,使用系统级分析(流程和贡献分析),我们确定了系统组件的状态。最后,使用两两控制和效用分析确定了负责状态的关键组件(每个行业的分布结构)和其他部门的能源消耗。结果表明,“农林渔业”和“采矿业”部门从其他部门获得财政投入的能力最低,反映了农矿产品满足消费者需求的短缺。此外,“农业、林业和渔业”对其他部门的能源依赖程度最高,这表明该部门在能源使用方面缺乏自给自足,无法有效地向消费部门提供能源。这也意味着该部门在实现能源效率提高和消费城市经济发展目标方面的重要性。这项工作通过引入两步方法对现有的生态网络分析文献做出了贡献,该方法将传统生态网络分析中对系统中低活性成分的诊断与其他成分低活性背后成分的新鉴定相结合。此外,引入直接控制和间接控制、间接效用分析,分析了城市直接能源和间接经济两两控制的影响以及各部门之间的相互作用。最后,本文探讨了城市经济服务部分的内部运作,揭示了每个第三产业在城市经济第一和第二产业发展中的作用。本研究建立的模型将为全球城市管理者和政策制定者提供支持,以指导资源消耗朝着高效和可持续的城市代谢系统发展。
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Ecological network analysis of a metabolic urban system based on input–output tables: Model development and case study for the city of Vienna

The rapid economic growth accompanied by health concerns and other global environmental problems in cities and regions has boosted the popularity of the ‘urban metabolism’ topic among academics and policymakers. Currently, 56.2% of the world's population lives in cities, accounting for 80% of the global GDP. It is projected that the current trend for world economic growth complemented by population growth and migration will continue affecting the resource production and consumption in cities and the impact this has on other urban areas. Here, we developed a new model approach that combines emergy input-output tables with ecological network analysis to investigate urban metabolism generally, and applied it to Vienna, Austria. This novel approach allows researchers to study the hierarchy of sectors and functional relationships along all possible metabolic paths of ecological and socio-economic flows exchanging in an urban economy and between the urban economy and its environment. Then, using system-level analyses (flow and contribution analyses) we determined the status of the system components. Finally, the critical components responsible for the status (distribution structure of each industry) and emergy consumption of the other sectors were identified using pairwise control and utility analyses. The results showed that the “agriculture, forestry and fishing” and “mining and quarrying” sectors had the lowest ability to receive financial inputs from the other sectors, reflecting a shortage of agricultural and mining products to meet consumers' demand. Moreover, “agriculture, forestry and fishing” had the highest energy dependence on the other sectors, indicating the lack of self-sufficiency in energy use and the inability of this sector to deliver energy effectively to consuming sectors. This also implies the importance of this sector in achieving the energy efficiency improvement and economic development goals for consumer cities. This work contributes to the existing literature on ecological network analysis via an introduction of the two-step approach that combines the diagnosis of low activity components in the system taken from traditional ecological network analysis with the novel identification of components behind the low activity of the other components. In addition, direct and indirect control, and indirect utility analysis were introduced for the analysis of the impact of the direct energy and indirect pairwise economic control and relational interactions of sectors in cities. Finally, this work explored the inner workings of the service part of the urban economy to reveal the role each tertiary sector plays in the development of primary and secondary sectors of an urban economy. The model developed in this study will provide support for city managers and policymakers to guide resource consumption towards an efficient and sustainable urban metabolic system worldwide.

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