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doi: 10.13128/aestim-7007
handle: 11588/819987 , 20.500.14243/407502
Each city is a living organism with its own dynamics. Cities, as complex dynamic and adaptive systems, are able of self-organization/self-management. There are many causes of the decline of cities today (poverty, unemployment, etc.) that interdepend on the others in continuous retroactive processes. The general proposal of this paper refers to a key word: “regeneration” as revitalization of the activities in the perspective of the circular economy/city. The aim is to explore how an urban circular economy can be implemented through a cultural landscape-based approach, analysing the case study of Matera (Italy) and assuming the interdependence between a specific landscape and the circular economy/city models. The aim is to understand how to transform a millennial experience of underdevelopment into a dynamic development perspective.
Aestimum, Aestimum 74 (2019)
Impact evaluation, Matera circular city, Urban circular economy, impact evaluation, Industries. Land use. Labor, Matera Circular City, HD28-9999, urban circular economy
Impact evaluation, Matera circular city, Urban circular economy, impact evaluation, Industries. Land use. Labor, Matera Circular City, HD28-9999, urban circular economy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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