Extreme weather impacts on freight railways in Europe

Ludvigsen, Johanna; Klæboe, Ronny

doi:10.1007/s11069-013-0851-3

Cited by 68 publications

(46 citation statements)

References 13 publications

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“…In Norway, where the railroad network is sparse, the economic consequences of extreme weather events during the past decades, has led to a shift from transport of goods by rail to road 25 haulage. Similar trends are seen in other parts of Europe as well, particularly after the extreme winters with heavy snowfall and long cold periods in 2010 and 2011, respectively (Ludvigsen and Klaeboe, 2014). Extreme weather events have negative effects not only on the road quality (with the increased wear of roads), but more importantly, on disruption of services.…”

Section: Introductionsupporting

confidence: 58%

Impacts of extreme weather events on transport infrastructure in Norway

Frauenfelder

Solheim

Isaksen

et al. 2017

Preprint

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clearer understanding of the trends in the development of extreme weather. The studies are based on both historical data and available future scenarios (projections) from climate models. Compared to previous studies, we calculated changes in climate variables that are particularly important in relation to nature hazards. Overall, the analyses document an increase in frequency as well as intensity of both precipitation and wind. Results of projections show that the observed changes will continue throughout this century. We could also identify large regional differences, with some areas experiencing, e.g., a reduction in 30 the intensity of heavy rainfall events. However, most of the country will experience the opposite, i.e., both increased intensity and increased frequency of heavy precipitation. Our analyses show that at least 27 per cent of Norwegian roads and 31 per cent of railroads are exposed to rock fall and snow avalanches hazards. The project has also assessed relationships between different parameters that can affect the likelihood of debris flows. Variables such as terrain slope and size of watercourses are important, while local climate, which varies widely in Norway, determines threshold values for rainfall that can trigger debris 35 flows.Nat. Hazards Earth Syst. Sci. Discuss., https://doi

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Section: Introductionsupporting

confidence: 58%

Impacts of extreme weather events on transport infrastructure in Norway

Frauenfelder

Solheim

Isaksen

et al. 2017

Preprint

Self Cite

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“…Previous research found out that at this situations, project manager had to prepare for the worst case scenario in terms of calculating the risks (Ludvigsen & Klaeboe, 2014).…”

Section: What Are the Major Issues In Transporting Heavy Equipment Fomentioning

confidence: 99%

Factors Affecting the Efficiency of Delivering Project Cargo for Power Plant Projects in Nabire: A Case Study at Pt. Agility International

Trainor

Maulidah

Rifni

2018

Proceedings of the Conference on Global Research on Sustainable Transport (GROST 2017)

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This research is focusing on a single project with intention of achieving in-depth understanding on how the handling of the power plant project deviation. This research is focus on the delivering process of heavy lift equipment to Nabire by PT. Agility International. How do PT. Agility International manage deviations happening in this project. The result shows that there is no delay regardless of the project problems and deviation, because of the present Temporary jetty.

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“…Studies conducted with disaggregate data report that the relationship between delay events and delay time is often nonlinear, time-variable, and S-shaped [16]. Artificial Neural Network (ANN) has distinguished advantages over traditional tactical methodologies (e.g., regression analysis, logistic regression, etc.)…”

Section: Literature Reviewmentioning

confidence: 99%

“…The errors of an MLP are half squared the differences between the desired and actual outputs. The pre-factor 1/2 is not necessary but leads to a compact result [16]. The gradual adjustment in the training finally obtains a good weight distribution [18].…”

Section: Theoretical Fundamentals Of Mlpmentioning

confidence: 99%

Application of Artificial Neuron Network in Analysis of Railway Delays

Hu¹,

Noche²

2016

JSS

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Punctuality is a key performance indicator of train freight transport. However, train delay arises often in the practice. To improve the efficiency of cargo train, prediction of train-delay is always an important research area. In this paper, a prediction model is established on the base of artificial neural network (ANN). Due the endogen drawback of ANN, Genetic Algorithm is adopted to improve the performance of ANN. Consequently, an experiment is design to train and test the ANN-based model by a set of data from the practice. The results of the experiment demonstrate the significant propagation ability of the model.

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Extreme weather impacts on freight railways in Europe

Cited by 68 publications

References 13 publications

Impacts of extreme weather events on transport infrastructure in Norway

Impacts of extreme weather events on transport infrastructure in Norway

Factors Affecting the Efficiency of Delivering Project Cargo for Power Plant Projects in Nabire: A Case Study at Pt. Agility International

Application of Artificial Neuron Network in Analysis of Railway Delays

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