## 7 Summary and Conclusions  
In the present work, we analyzed ground motion hazard maps and the associated hazard disaggregation to define areas in Italy where landslide triggering due to seismic activity cannot be excluded and where further efforts are therefore required to evaluate landslide susceptibility. The final result is a set of maps corresponding to different return periods (475, 975, and 2475 years) showing areas with different triggering potential based on the values of the magnitude-distance pairs controlling the local ground motion hazard. Specifically, for each computation node, we defined the failure mechanism that can be triggered and the earthquake scenario that might most likely induce that type of failure. Three types of landslide mechanisms have been considered: disrupted slides and falls, coherent landslides, and lateral spread and flows. The sites with the highest triggering potential are those where all three types of landslides can be triggered by seismic activity, whereas the sites where only the triggering of disrupted slides and falls is expected to occur have lower triggering potential. In addition, for each site and failure mechanism, the conditional probability of exceeding given Arias intensity thresholds due to scenario earthquakes of given magnitude \(\hat{M}=m\) and distance \(\hat{R}=r\) was determined. This computation resulted in probabilistic maps which, together with the triggering maps, can guide priorities for action within the framework of risk mitigation programs. Moreover, they can serve as a guide for scheduling focused geological and geotechnical investigations aimed at assessing landslide susceptibility or, conversely, rule out further studies if the triggering of earthquake-induced landslides can be neglected (or is very unlikely). Landslides are indeed localized phenomena whose occurrence is intimately related to site-specific geological and geotechnical conditions.  
Despite the reliability of our results, which was examined by analyzing the distribution of past events over the Italian territory, improvements can be reached as site-specific data become available. For instance, in situ measurements undoubtedly provide a more accurate definition of ground types. At least as far as this issue is concerned, practitioners and land-use planners can interrogate our results through the web service at [[https://distav.unige.it/rsni/slideq.php](https://distav.unige.it/rsni/slideq.php)]([https://distav.unige.it/rsni/slideq.php](https://distav.unige.it/rsni/slideq.php)) (accessed on 14 April 2024) and refine their search by changing the ground type or by selecting the value of the spectral period of interest through a user-friendly interface. The service returns as output the updated magnitude-distance scenarios associated with the seismic triggering of each type of landslide.  
[PERSON] developed the computer codes for data analysis, carried out most of analyses, wrote the majority of the manuscript, and prepared all figures. [PERSON] contributed to the analysis of data and writing of the manuscript. [PERSON] contributed to the data analysis and preparation of Figures 4-10. [PERSON] contributed to the preparation of Figures 4-10 and developed the web service for the dissemination of the results (www.distav.unige.it/rsni/slideq.php, accessed on 14 April 2024). All authors reviewed the manuscript and contributed to the interpretation of the results. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Not applicable.  
The data presented in this study are available in publicly accessible website.  
We are grateful to two anonymous reviewers for their comments and suggestions, which improved the article.