A Framework for a User-Perception-Based Approach to Integrate Landscape Protection in Soft Mobility Planning

Irina Di Ruocco (), Alessio D’Auria, Rosaria R. D’Alterio and Agostino De Rosa
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Irina Di Ruocco: Department of Economics, University of Insubria, 21100 Varese, Italy
Alessio D’Auria: Faculty of Humanities, Università degli Studi Suor Orsola Benincasa, 80134 Naples, Italy
Rosaria R. D’Alterio: Faculty of Humanities, Università degli Studi Suor Orsola Benincasa, 80134 Naples, Italy
Agostino De Rosa: Faculty of Humanities, Università degli Studi Suor Orsola Benincasa, 80134 Naples, Italy

Land, 2023, vol. 12, issue 5, 1-30

Abstract: The relationship with bike infrastructure is missing in the current examination of user perception, which places a great deal of emphasis on visual aesthetic quality or surveys. Italy is experiencing the great development of cycling infrastructures, and the related plans, in line with sustainability objectives, have the task of examining users in various aspects. The purpose of this study is to examine users’ criteria based on perceptions of the landscape in the presence of cycling infrastructures and to analyze the current infrastructures and understand their alignment with sustainable plans. One of the multiple-criteria decision analysis (MCDA) methods based on fuzzy comprehensive evaluation (FCE) was utilized, and it entails identifying the factors that constitute an index and assessing the priority of these factors in relation to other components. The findings demonstrate that the primary variables are distinct aspects of the landscape that are objective. We discovered that these components perform better for urban than metropolitan sectors in this study, as we divided the scenarios into metropolitan and general (urban, suburban, and coastal urban) scenarios.

Keywords: soft mobility; landscape; fuzzy comprehensive evaluation; cycling infrastructure; user perception; multiple-criteria decision analysis; criteria assessment (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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