Quantitative analysis of the risk to road networks exposed to slow-moving landslides: a case study in the Campania region (southern Italy)

Settimio Ferlisi,Dario Peduto,Antonio Marchese

doi:10.1007/s10346-020-01482-8

Abstract

This paper shows the results of a study aimed at quantitatively estimating—in terms of direct (repair) costs, at large scale (1:5000)—the slow-moving landslide risk to a road network assumed as undamaged as well as the consequences to the same network in damaged conditions. The newly conceived methodological approaches address some challenging tasks concerning (i) the hazard analysis, which is expressed in terms of probability of occurrence of slow-moving landslides with a given intensity level that, in turn, is established based on empirical fragility curves, and (ii) the consequence analysis, which brings to the generation of time-dependent vulnerability curves. Their applicability is successfully tested in a case study in the Campania region (southern Italy) for which both very high-resolution DInSAR data and information gathered from in situ surveys on the severity of damage sustained by the selected road sections are available. Benefits associated with the use of the obtained results in informed decision-making processes are finally discussed.

Highlights

Road infrastructure plays a key role in the economic development of a society
The same road section is Results According to the procedure shown in Fig. 1, by overlapping the landslide inventory map (Fig. 6a) with the graph of the road network (Fig. 5c), 549 road stretches were first identified and later surveyed in order to detect the related damage and classify its severity
102 crossing urban centers were discarded because their damage was not straightforwardly attributable to landslide movements or had been caused by tilting/failure of the structures retaining the road embankment

Summary

Introduction

Road infrastructure plays a key role in the economic development of a society. For this reason, ensuring its functionality and safety conditions over time is one of the most important and, at the same time, demanding tasks that central and local authorities are asked to undertake.

Results

Conclusion