
handle: 11581/488923
The paper presents the results of an applied research on the Adriatic linear city (Marche, Abruzzo) for the construction of an urban-territorial cognitive framework renewed by GIScience methods/techniques (data processing, remote sensing and scientific indexes). In particular, the contribution presents the method steps for the production of a Risk Map and a geodatabase developed in a GIS (Geographic Information Systems) environment starting from open data to support the analytical phase of the A_GreeNet Life+ project and its aims. In this sense, the intermediate/final outputs of the research lay the foundations for new ways and different perspectives to investigate the urban landscape with a focus on the quality/quantity of green infrastructure, thermal stress and social dynamics. In conclusion, the paper is part of the process of renewing the cognitive processes of urban planning, with special regard to the study of territorial fragilities and urban transformations capable of photographing different territorial geographies and evaluating their resilience to the dynamics of climate change. On this basis, the project will imagine new forestation scenarios and the qualification of the landscape-vegetation system and open spaces for healthier and more liveable cities, in accordance with the planning framework in place.
Transportation engineering, giscience, risk map, TA1001-1280, Urbanization. City and country, urban green infrastructure, adriatic coastal cities, HT361-384, urban planning, GIScience; Urban Green Infrastructure; Urban planning; Risk Map; Adriatic coastal cities
Transportation engineering, giscience, risk map, TA1001-1280, Urbanization. City and country, urban green infrastructure, adriatic coastal cities, HT361-384, urban planning, GIScience; Urban Green Infrastructure; Urban planning; Risk Map; Adriatic coastal cities
| 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). | 0 | |
| 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. | Average | |
| 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. | Average |
