Evaluating sustainable urban development using urban metabolism indicators in urban design

Song, Yan; Gil, Jorge; Wandl, Alexander; Timmeren, Arjan van

doi:10.7163/eu21.2018.34.1

Cited by 2 publications

(2 citation statements)

References 58 publications

(89 reference statements)

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“…In its early stages, urban metabolism treated cities and regions as a system boundary for material flow analysis, rather than a topic of study, also known as a "black box model" (Song et al, 2018). The first studies in urban metabolism were accounting exercises to calculate the total input, stock, and output of water, materials, nutrients, and waste of specific cities.…”

Section: Urban Metabolismmentioning

confidence: 99%

Spatial clustering of waste reuse in a circular economy: A spatial autocorrelation analysis on locations of waste reuse in the Netherlands using global and local Moran’s I

Tsui

Derumigny

Peck

et al. 2022

Front. Built Environ.

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In recent years, implementing a circular economy in cities has been considered by policy makers as a potential solution for achieving sustainability. Existing literature on circular cities is mainly focused on two perspectives: urban governance and urban metabolism. Both these perspectives, to some extent, miss an understanding of space. A spatial perspective is important because circular activities, such as the recycling, reuse, or storage of materials, require space and have a location. It is therefore useful to understand where circular activities are located, and how they are affected by their location and surrounding geography. This study therefore aims to understand the existing state of waste reuse activities in the Netherlands from a spatial perspective, by analyzing the degree, scale, and locations of spatial clusters of waste reuse. This was done by measuring the spatial autocorrelation of waste reuse locations using global and local Moran’s I, with waste reuse data from the national waste registry of the Netherlands. The analysis was done for 10 material types: minerals, plastic, wood and paper, fertilizer, food, machinery and electronics, metal, mixed construction materials, glass, and textile. It was found that all materials except for glass and textiles formed spatial clusters. By varying the grid cell sizes used for data aggregation, it was found that different materials had different “best fit” cell sizes where spatial clustering was the strongest. The best fit cell size is ∼7 km for materials associated with construction and agricultural industries, and ∼20–25 km for plastic and metals.The best fit cell sizes indicate the average distance of companies from each other within clusters, and suggest a suitable spatial resolution at which the material can be understood. Hotspot maps were also produced for each material to show where reuse activities are most spatially concentrated.

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Section: Urban Metabolismmentioning

confidence: 99%

Spatial clustering of waste reuse in a circular economy: A spatial autocorrelation analysis on locations of waste reuse in the Netherlands using global and local Moran’s I

Tsui

Derumigny

Peck

et al. 2022

Front. Built Environ.

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“…дарство), мезо (місто), макро (країна, регіон) і глобальному рівнях[11,18].Таким чином, циркулярна економіка (circular economy) -це господарювання замкненого…”

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Urban Metabolism as a Background for the Development of Circular Cities in Ukraine

Kononenko¹,

Dronova²

2022

Ukr. geogr. z.

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The paper goal is to investigate the sustainability of Ukrainian cities from the perspective of urban metabolism model. Based on the study of the features and advantages of the concept of urban metabolism for the development of sustainable and circular cities, the authors applied and analyzed the integral indicators of resource consumption, waste production, economic functions of cities, and also analyzed the institutional capacities, plans and environmental policy measures of 14 regional centers of Ukraine. The scoring helps to determine the ratio of the urban metabolism indicators of the selected cities of Ukraine and to identify the main imbalances in the consumption and use of resources, as well as to identify the cities that require the activation of institutional support for sustainable development. The application of such method highlighted that the urban metabolism concept works and can be applied in conditions of insufficient data and statistical information, as it is now in Ukraine. In research result it is clear that Vinnytsia and Khmelnitskyi are the most sustainable among the selected cities from the perspective of circular economy. Rivne, Kharkiv and Dnipro are characterized by balanced flows, but have higher rates of resource consumption and waste production. Poltava, Odesa, Cherkasy and Sumy require significant environmental policy adjustments in relation to resource consumption and waste management. The capital of Ukraine, Kyiv occupies an average position among all cities, which is enhanced by significant economic and innovative development and high level of public environmental activity. The lowest level of anthropogenic pressure is observed in Chernivtsi.

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Evaluating sustainable urban development using urban metabolism indicators in urban design

Cited by 2 publications

References 58 publications

Spatial clustering of waste reuse in a circular economy: A spatial autocorrelation analysis on locations of waste reuse in the Netherlands using global and local Moran’s I

Spatial clustering of waste reuse in a circular economy: A spatial autocorrelation analysis on locations of waste reuse in the Netherlands using global and local Moran’s I

Urban Metabolism as a Background for the Development of Circular Cities in Ukraine

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