Soft Mobility Network for the Enhancement and Discovery of the Rural Landscape: Definition of a Masterplan for Alto Ferrarese (Italy)

• Published in: Land (Basel) Vol. 12; no. 3; p. 527
• Main Authors: Senes, Giulio, Parretta, Chiara, Fumagalli, Natalia, Tassinari, Patrizia, Torreggiani, Daniele
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: Analysis; cultural ecosystem services; Ecosystem services; Environmental aspects; Environmental economics; Infrastructure; Italy; Methodology; Mobility; Planning; Quality of life; Recreation areas; Regulation; Rural areas; Rural development; rural landscape; rural tourism and recreation; soft mobility network; Stormwater management; Sustainable development; Tourism; Travel; Vegetation; Italy
• ISSN: 2073-445X; 2073-445X
• DOI: 10.3390/land12030527

The rural landscape can provide a wide range of cultural ecosystem services to humans through direct and in situ interactions. The benefits provided depend on the quality of the landscape, but also on the real possibility for people to access and enjoy it. One of the best ways is to do it in a “slow” way, namely active and non-motorized, through a soft mobility network. The goals of the study are: (i) to develop a methodology to plan a soft mobility network that enhances existing infrastructures and maximizes the cultural ecosystem services provided by rural landscapes; (ii) to validate the methodology in the Alto Ferrarese territory through defining a soft mobility masterplan at the supra-municipal scale. The method is made up of three phases: analysis, with the inventory of the resources to be connected and the paths that could potentially be used; assessment, with the evaluation of the suitability of the paths to realize the soft mobility network; and planning, with the definition of the masterplan for the study area. The application resulted in a proposed network of 525.2 km, hierarchized in a primary and a secondary network, and proved that the methodology is effective to maximize the use of existing paths (81% of the proposed network), and to connect the elements of interest (98.5% of the resources are within a distance of 500 m, and 86.4% within a distance of 100 m).