
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>
Environmental Regeneration Integrating Soft Mobility and Green Street Networks: A Case Study in the Metropolitan Periphery of Naples

doi: 10.3390/su13158195
handle: 11588/861339 , 11591/453023
Public space and street networks form a significant and central determinant of urban quality. The advent of the COVID-19 pandemic has focused their crucial importance in the reorganisation of places that are “safe” because they allow movement through cities with minimal risk of contagion. While addressing the need for social distancing, open air exercise, and mobility without use of public transport, these measures resulted in other environmental and social benefits. Living with the coronavirus pandemic has produced a series of adaptative actions, such as barring or limiting automobile traffic, thereby expanding street space for pedestrians and bicyclists, whose impact is, as yet, difficult to fathom because of their contingent, temporary nature. In this context, this case study proposes a sustainable bicycle network to inform the future, permanent street redesign. Based on topographic, morphologic, and climatic data, it evaluates a series of contiguous road sections, defining redesign capacities and critical conditions to implement sustainable interventions to manage urban runoff, mitigate of extreme heat events, expand pedestrian paths and provide a bicycle network. This holistic approach to sustainable urban design evaluation, supported by reproducible data and parameters, serves as a replicable model for the sustainable redesign of roads in other urban settings. The extent, integration, and complexity of the study engaged an interdisciplinary framework, facilitating detailed planning and design and quantified assessments of environmental outcomes.
soft mobility, TJ807-830, sustainable urban design, TD194-195, urban stormwater management, Renewable energy sources, bicycle networks, green streets, green infrastructure, urban regeneration, bicycle networks, pedestrian networks, urban mobility, soft mobility, climate change, urban stormwater management, sustainable urban design, public space design, pedestrian networks, GE1-350, urban regeneration, Environmental effects of industries and plants, green streets, Environmental sciences, climate change, green infrastructure, green streets; green infrastructure; urban regeneration; bicycle networks; pedestrian networks; urban mobility; soft mobility; climate change; urban stormwater management; sustainable urban design; public space design, urban mobility, public space design
soft mobility, TJ807-830, sustainable urban design, TD194-195, urban stormwater management, Renewable energy sources, bicycle networks, green streets, green infrastructure, urban regeneration, bicycle networks, pedestrian networks, urban mobility, soft mobility, climate change, urban stormwater management, sustainable urban design, public space design, pedestrian networks, GE1-350, urban regeneration, Environmental effects of industries and plants, green streets, Environmental sciences, climate change, green infrastructure, green streets; green infrastructure; urban regeneration; bicycle networks; pedestrian networks; urban mobility; soft mobility; climate change; urban stormwater management; sustainable urban design; public space design, urban mobility, public space design
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).11 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).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
