If we analyse cities according to their morphogenesis we will notice how the urban space has massively dilated, fragmented and scattered. This work is framed within the research line focused on the quantitative analysis of the new urban morphologies and their evolution. The methodology includes the scanning of the settlement fabric in built-up areas characterized by a different density level and the analysis of their possible morphologic evolution. Local density measurements have been used in order to trace the frames via kernel density tools. A set of metrics linked to landscape ecology has been used in order to describe the potential dynamics of increase in such areas. The work underlines how the combined use of such spatial analysis techniques implemented in GIS environment can give us an answer to the issue of quantitative measurement in the field of settlement increase. The methodology here proposed has been tested on the settlement fabric in the town of Eboli (province of Salerno). The starting geographic data have been taken from a vectorial map on a scale of 1:5000, referring to the time thresholds 1984 and 2007. The only available attribute related to buildings event is the covered surface. Referring to the first phase, density maps have been assembled and through the previously set algoritm, which is articulated in selection and further aggregation rules, we obtained the maps representative of the four frames in relation to the two time thresholds. The methodology proposed here and tested on the council area provides tools which can analyse any settlement fabric and can study their change dynamics. The procedure requires no more than vectorial buildings representation among starting data. This does not imply that it gives a full answer to the issue, but, at least, it provides an early objective one, also valid to outline further insights.

Il riconoscimento di insediamenti spontanei per la pianificazione urbanistica sostenibile. Una proposta metodologica

GERUNDO, Roberto;FASOLINO, ISIDORO;GRIMALDI, Michele;EBOLI, CARLA
2010-01-01

Abstract

If we analyse cities according to their morphogenesis we will notice how the urban space has massively dilated, fragmented and scattered. This work is framed within the research line focused on the quantitative analysis of the new urban morphologies and their evolution. The methodology includes the scanning of the settlement fabric in built-up areas characterized by a different density level and the analysis of their possible morphologic evolution. Local density measurements have been used in order to trace the frames via kernel density tools. A set of metrics linked to landscape ecology has been used in order to describe the potential dynamics of increase in such areas. The work underlines how the combined use of such spatial analysis techniques implemented in GIS environment can give us an answer to the issue of quantitative measurement in the field of settlement increase. The methodology here proposed has been tested on the settlement fabric in the town of Eboli (province of Salerno). The starting geographic data have been taken from a vectorial map on a scale of 1:5000, referring to the time thresholds 1984 and 2007. The only available attribute related to buildings event is the covered surface. Referring to the first phase, density maps have been assembled and through the previously set algoritm, which is articulated in selection and further aggregation rules, we obtained the maps representative of the four frames in relation to the two time thresholds. The methodology proposed here and tested on the council area provides tools which can analyse any settlement fabric and can study their change dynamics. The procedure requires no more than vectorial buildings representation among starting data. This does not imply that it gives a full answer to the issue, but, at least, it provides an early objective one, also valid to outline further insights.
2010
9788884971630
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/3015380
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