
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Reading Urban Green Morphology to Enhance Urban Resilience: A Case Study of Six Southern European Cities

doi: 10.3390/su13169163
handle: 11379/547357
Reading Urban Green Morphology to Enhance Urban Resilience: A Case Study of Six Southern European Cities
A loss of natural capital within cities and their surrounding areas has been noticed over the last decades. Increasing development associated with higher sealing rates has caused a general loss of Urban Green Spaces (UGS) within the urban environment, whereas urban sprawl and the improvement of road networks have deeply fragmented the surrounding landscape and jeopardized ecosystems connectivity. UGS are an essential component of the urban system, and their loss has a greater impact on, e.g., ecological and hydrological processes, threatening human well-being. Different types and spatial configurations of UGS may affect their own ability to provide ecosystem services, such as biodiversity support and water regulation. Nevertheless, the study of UGS spatial patterns is a research branch poorly addressed. Moreover, UGS analyses are mainly focused on public and vast green spaces, but seldom on informal, private, and interstitial ones, returning a myopic representation of urban green areas. Therefore, this study investigates the UGS spatial patterns within six Southern European cities, using the urban morphology analysis to assess all urban vegetated lands. Results revealed three main Urban Green Spatial Patterns (UGSPs): Fragmented, Compact, and Linear Distributions. UGSPs taxonomy represents a novelty in the urban morphology field and may have important implications for the ability to provide ecosystem services and, thus, human well-being.
- Stockholm University Sweden
- University of Brescia Italy
- Polytechnic Institute of Coimbra Portugal
Green Infrastructure (GI), urban morphological analysis, Environmental effects of industries and plants, sustainable urban development, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, Urban Green Spatial Patterns (UGSPs), GE1-350, Urban Green Spaces (UGS); Urban Green Spatial Patterns (UGSPs); Green Infrastructure (GI); Informal Urban Greenspace (IGS); urban morphological analysis; sustainable urban development, Urban Green Spaces (UGS), Informal Urban Greenspace (IGS)
Green Infrastructure (GI), urban morphological analysis, Environmental effects of industries and plants, sustainable urban development, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, Urban Green Spatial Patterns (UGSPs), GE1-350, Urban Green Spaces (UGS); Urban Green Spatial Patterns (UGSPs); Green Infrastructure (GI); Informal Urban Greenspace (IGS); urban morphological analysis; sustainable urban development, Urban Green Spaces (UGS), Informal Urban Greenspace (IGS)
3 Research products, page 1 of 1
- 2009IsAmongTopNSimilarDocuments
- 2011IsAmongTopNSimilarDocuments
- 2013IsAmongTopNSimilarDocuments
citations 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).6 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%
