When landslides occur on or near a transport line (e.g., road or railway), they have the potential to cause transport network blockages, delays, detours, damage, and closures, resulting in economic and societal impacts. Transport lines such as roads or railways may increase landslide susceptibility (e.g. through oversteepening) or decrease susceptibility (e.g. through drainage routing or strengthening of the soil), resulting in a complex interplay between transport lines, susceptibility, landslides, and people. This special issue welcomes papers on landslide–transport network interactions on themes such as spatial and numerical modelling, physical process, landslide susceptibility, potential and actual impact, risk assessments, and novel early-warning systems. We particularly welcome papers with novel conclusions or broad implications for the management of landslide–transport network interactions.
Landslides are destructive events, threatening the integrity of land transport systems. This paper presents how road networks are vulnerable to landslides, with emphasis on the consequences for affected road users. Results show the merits of using agent-based traffic modelling to assess the impacts of road network interruptions on rural communities by providing insights into the characteristics of the population affected and the effects on its daily routine in terms of detour costs.
The Karakoram Highway (KKH) is an important physical connection between Pakistan and China. Landslides have been a major threat to its stability since its construction. After the announcement of the China–Pakistan Economic Corridor (CPEC), KKH has had more importance. Geoscientists from research institutions in both countries are assessing landslide hazard and risk along the highway. In a PhD project, this paper will be followed by a detailed analysis of mass movements along the highway.
Natural hazard events affecting the Swiss transportation networks during the 5-year time period 2012–2016 were collected in a database with a significant effort for small events (< 10 m−3) that are generally not radar screened. Of 848 collected events, 95 % are small events for which annual direct cost was estimated at EUR 2.5 million. Analysis of the 172 attributes by event allows us to highlight their spatial, temporal, and damage trends as well as their impacts on road and railway traffic.
This paper aimed to develop and test a data-driven model for the identification of road sectors that are susceptible to be hit by shallow landslides triggered in slopes upstream of infrastructure. Most susceptible road traits were those located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. The results of the susceptibility analysis can give asset managers indispensable information on the relative criticality of the different roads.
This article discusses how Nepal's development, landslide risk and geopolitics are intertwined as the country seeks to expand its road networks. However, rural villages adjacent to major roads have developed their own network of poorly constructed rural roads, which are likely to increase environmental and socioeconomic risks associated with roadside landslides. We base our observations on research conducted over a decade in Nepal, with reference to new research on roads and landslides.
Road development in Nepal promises to improve access to markets, education and healthcare, but not without hazardous consequences. Using GIS maps of monsoon-triggered landslides, we show that rural roads are responsible for doubling the number of landslides in one mountainous district. Engineers are seeking sustainable and affordable eco-solutions to help stabilize these roads in order to prevent further loss of life and property as Nepal approaches this next phase in its development.
The number of occurrences of ground subsidence induced by a leakage of aged pipelines for water and sewage in urban areas resulting in various sizes of cavity near the urban railway in South Korea has increased and it may cause roadbed settlement to exceed the allowable value. In this study, a three-dimensional numerical analysis is carried out to estimate roadbed stability and its risk level associated with various groundwater levels and sizes of cavities in simulated ground conditions.
This study fully considers the characteristics of expressways in mountain areas. The catchment area is considered a prediction unit. The method of slope division is improved, and a method of improving the parameters in the model is proposed. Comparison and analysis with actual observation data show that the method of soil and water loss prediction adopted in this paper has less error and higher prediction accuracy than other models and can satisfy prediction requirements.
Reliable information on the extent of climate change and its projected future impacts on transport infrastructure is of prime importance for the smooth functioning of societies. Rainfall events which may trigger landslides are analysed until the end of this century and compared to present-day conditions. Results indicate overall increases of landslide activity, especially in areas with structured terrain. Derived findings support proactive adaptation to rainfall-induced landslide exposure.
The multivariate evaluation method was applied to establish a landslide susceptibility assessment model along mountains roads. The relationships between the rainfall index, instability index, and landslide occurrence indicate that for a high instability index, even a small rainfall event could trigger a landslide. The instability index thus can effectively reflect landslide susceptibility. The results could serve as a reference for the prevention and mitigation of slope disasters on hillsides.