Assessment of the contribution and measures to reduce the impact of the railway industry on the development of global warming

Akhtyamov, Rasul; Mescheriakova, N.A.

doi:10.1051/e3sconf/202338301001

E3S Web Conf.

2023

DOI: 10.1051/e3sconf/202338301001

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Assessment of the contribution and measures to reduce the impact of the railway industry on the development of global warming

Rasul Akhtyamov

N.A. Mescheriakova

Abstract: A review of current approaches to the assessment of the anthropogenic impact on global warming is presented. Measures to regulate greenhouse gas emissions are analyzed, including the introduction of a carbon tax and a system of national quotas for greenhouse gas emissions. The outcomes of the assessment of the contribution of the railway industry to gross greenhouse gas emissions are presented. The potential for the application of negative emission technologies at railway transport facilities is considered. Pr… Show more

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2024

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Cited by 1 publication

References 15 publications

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Increasing resilience and selection of a strategy for restoring transport networks in extreme natural processes

Akhtyamov

2024

Modern Transportation Systems and Technologies

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Aim. The development of an approach to increasing resilience by selecting strategies for restoring transport networks affected by extreme natural processes. Methods. This study evaluates the dynamics of extreme natural processes, specifically exogenous geological processes that can that can disrupt transport networks. It includes as framework for assessing the sustainability and restoration of transport networks under climate risk factors. Strategies for restoring the transport network were formulated. Results. The formulated strategies enable network modeling of transport network topology, which can be represented as an undirected weighted graph with a set of nodes and edges. The proposed model allows determining the most effective strategy for quickly restoring the connectivity of the transport network by determining the optimal sequence of restoration for repairing road sections, considering restoration time. The efficiency of restoring damaged sections of the transport network is expected to decrease as the share of the restored network increases. Therefore, it is crucial to estimate the necessary extend of network restoration to perform the necessary extent of network restoration to support emergency and urgent tasks by RSChS formations in specific areas. Conclusion. The analysis and assessment of alternative solutions for restoring the sustainability of transport networks considers the complexity of tasks under climate risk factors, such as extreme natural processes. In some cases, the RSChS problems do not require complete network restoration, unlike the tasks solved by the transport industry. This work aims to develop a framework for assessing restoration strategies, identifying the features of each of the considered strategies under uncertainty, and increasing operational sustainability. The proposed approach is flexible, allowing decision makers to assess various priorities during a specific natural emergency in a certain area, such as average recovery time, process efficiency, and uncertainty levels, when choosing the most desirable strategy. It is assumed that the average recovery time does not differ significantly among strategies for full network restoration. However, for partial restorations necessary for RSChS tasks, the average restoration time depends on the chosen strategy.

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Increasing resilience and selection of a strategy for restoring transport networks in extreme natural processes

Akhtyamov

2024

Modern Transportation Systems and Technologies

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Assessment of the contribution and measures to reduce the impact of the railway industry on the development of global warming

Cited by 1 publication

References 15 publications

Increasing resilience and selection of a strategy for restoring transport networks in extreme natural processes

Increasing resilience and selection of a strategy for restoring transport networks in extreme natural processes

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