## 4 Discussion and Concluding Remarks
In this regard, uncertainties can be associated with the errors inherent to: slow-moving landslide mapping at the regional scale (i.e., adopted landslide inventory), the nature of the road damage severity assessment (i.e., remote evaluation with only random field validation), the qualitative assessment of the cumulative displacements required for road sections interacting with slow-moving landslides to be assigned a specific damage severity level, the unavailability of processed DInSAR data in both ascending and descending orbits, and the impossibility to consider the mechanical characteristics of both the materials composing the road pavement and the soils on which the different road stretches are founded. Furthermore, DInSAR data were not available for every mapped landslide, and Google Street View images were not available for all of the road stretches under investigation; thus, the procedure was set up to assign, respectively, the \"moving\" and \"damage\" condition to the territorial zoning units where this information is not available. The authors are aware that this assumption may have resulted in an overestimation of the road stretches classified with a high level of risk or attention. The most important positive aspect of the proposed method is that road stretches potentially affected by the activity of slow-moving landslides may be classified and ranked at the municipal scale, in a series of risk or attention levels, adopting a fairly simple qualitative ranking procedure, reliable in relation to the scale of analysis, which is based on a few data that are relatively easy to find and to manage. The proposed procedure allows obtaining such a classification without any information on the dimension, state of activity or volume of the landslides, and with limited hazard and vulnerability data. The outcome of this type of analysis can be used to support studies of road networks over large areas aimed at the prioritization of risk-mitigation measures, as well as at the identification of road sections requiring further geomorphological surveys and geotechnical analyses, to be conducted at a larger scale. G.P. : Conceptualization, methodology, validation, formal analysis, investigation, data curation, writing--original draft preparation, visualization; G.N. : Conceptualization, methodology, formal analysis, investigation, data curation, writing--original draft preparation; R.M. : Formal analysis, investigation, resources, data curation; D.L. : Formal analysis, investigation, resources, data curation; D.P. : Conceptualization, methodology, writing--review and editing, supervision; M.C. : Conceptualization, methodology, writing--review and editing, supervision, production, administration, funding acquisition. All authors have read and agreed to the published version of the manuscript. This research has been financially supported by MIUR PON R&I 2014-2020 Program (project MITIGO, ARS01_00964). Not applicable. Data Availability Statement: Data are available upon request. The authors wish to acknowledge the project partner e-GEOS for processing the COSMO-SkyMed data. The authors declare no conflict of interest.