This paper tests a combination of methods that allows for the optimization of a mobility network through the multimodal interchange between fast and slow routes. These routes contribute to mending the relationship between the existing infrastructural networks and the places of interest in the landscape while respecting morphological adaptability. The case study that generated the research question explained above is the Costa dei Trabucchi in Abruzzo, Italy. The choice of a single paradigmatic case study to evaluate the method is based on the need to analyse an edge context with very scarce data, except for the coast. The advantage of this method is the efficiency based on three main conditions: overcoming limitations due to data scarcity, the use of open-source data and the multiscalarity of analyses. The result of this research work is the creation of a useful strategy to identify the most suitable routes in terms of spatial quality and walkability/cyclability. The case study is formed by the territories crossed by a railway line that has recently been decommissioned. The displacement of a railway line creates opportunities to improve the quality and use of the territory locally, with a natural evolution of the track in a greenway, and at the territorial level because it generates a network of better multimodal and sustainable mobility solutions inside and between the surrounding areas.

A Method to Select and Optimize Slow Tourism Routes Using a Quality Index Procedure Based on Image Segmentation and DTM Modelling Based on NURBS: The Case Study of Multimodal Access to Inner Places from the Nodes of the Adriatic Coastline’s Infrastructure Bundle

D’Uva Domenico;Rolando Andrea
2023-01-01

Abstract

This paper tests a combination of methods that allows for the optimization of a mobility network through the multimodal interchange between fast and slow routes. These routes contribute to mending the relationship between the existing infrastructural networks and the places of interest in the landscape while respecting morphological adaptability. The case study that generated the research question explained above is the Costa dei Trabucchi in Abruzzo, Italy. The choice of a single paradigmatic case study to evaluate the method is based on the need to analyse an edge context with very scarce data, except for the coast. The advantage of this method is the efficiency based on three main conditions: overcoming limitations due to data scarcity, the use of open-source data and the multiscalarity of analyses. The result of this research work is the creation of a useful strategy to identify the most suitable routes in terms of spatial quality and walkability/cyclability. The case study is formed by the territories crossed by a railway line that has recently been decommissioned. The displacement of a railway line creates opportunities to improve the quality and use of the territory locally, with a natural evolution of the track in a greenway, and at the territorial level because it generates a network of better multimodal and sustainable mobility solutions inside and between the surrounding areas.
2023
mapping; DTM; NURBS; AI; image segmentation; slow mobility; landscape; path
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1226854
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