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Sustainability
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Sustainable Study of Railway Engineering and Rail Transportation
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Sustainable Study of Railway Engineering and Rail Transportation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 2650

Special Issue Editor

Prof. Dr. Constantine Tarawneh

E-Mail Website
Guest Editor
Department of Mechanical Engineering, University of Texas Rio Grande Valley, University Transportation Center for Railway Safety, Edinburg, TX 78539, USA
Interests: rolling stock condition monitoring; smart sensors; energy harvesting; predictive maintenance; railway safety; thermal modeling

Special Issue Information

Dear Colleagues,

The study of railway engineering and rail transportation systems, with a focus on sustainability and resilience, is crucial in today’s world to addressing environmental, social, and economic challenges associated with the transportation sector.

Understanding sustainability in rail transportation involves a holistic approach that explores economic, environmental, and social impacts. The aim of this Special Issue is to provide researchers and other stakeholders with an avenue to present research that is relevant to sustainable and resilient rail transportation systems and aligns with the aims and scope of Sustainability.

Sustainability strives to support the 2030 Agenda for Sustainable Development adopted by the United Nations. As a transdisciplinary journal, Sustainability encourages researchers to provide full experimental and methodological details in order to enable results to be reproduced and assessed. The journal supports open access and open science.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Innovative technologies (e.g., high-speed rail, magnetic levitation, smart sensors);
  • Energy efficiency and renewable energy (e.g., electrification, regenerative braking, energy harvesting);
  • Environmental impact mitigation (e.g., habitat conservation, noise and vibration reduction);
  • Infrastructure design and maintenance (e.g., track material selection, maintenance practices);
  • Urban planning and integration (e.g., transit-oriented development, last-mile connectivity);
  • Policy and regulation (e.g., emission standards, incentives for sustainable practices);
  • Data-Driven decision making (e.g., monitoring and reporting, infrastructure condition monitoring, predictive maintenance);
  • Life cycle analysis;
  • Continuous improvement and adaptation.

We look forward to receiving your contributions.

Prof. Dr. Constantine Tarawneh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable railway systems
  • resilient rail transportation
  • efficiency
  • renewable energy
  • predictive maintenance
  • innovative technologies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

18 pages, 5260 KiB  
Article
Characteristics of Noise Caused by Trains Passing on Urban Rail Transit Viaducts
by Lizhong Song, Jiong Zhang, Quanmin Liu, Liangtao Zhang and Xiaolong Wu
Sustainability 2025, 17(1), 94; https://doi.org/10.3390/su17010094 - 26 Dec 2024
Cited by 2 | Viewed by 803
Abstract
With the large-scale construction of urban rail transit viaducts in China, the noise problem caused by trains traversing these sections has become increasingly prominent and a key technical challenge that restricts the sustainable development of rail transit. There are two main noise sources [...] Read more.
With the large-scale construction of urban rail transit viaducts in China, the noise problem caused by trains traversing these sections has become increasingly prominent and a key technical challenge that restricts the sustainable development of rail transit. There are two main noise sources when trains pass on rail transit viaducts, namely, wheel-rail noise (WRN) and bridge-borne noise (BBN). However, most of the existing rail transit viaduct noise prediction models consider only a single noise source. In this study, a total noise prediction model incorporating both WRN and BBN was established using the finite element method (FEM), the boundary element method (BEM), and statistical energy analysis (SEA). The viaducts of Wuhan Metro Line 2 were selected as the research object, and noise tests of trains passing on the viaducts were carried out to validate the total noise prediction model. Based on the validated model, the spatial distribution characteristics and attenuation laws of the total noise were investigated, along with the influence of train speed on the total noise. The results show that the prediction model accurately simulated the total noise caused by trains passing on viaducts. When a train passed on the viaduct at a speed of 60 km/h, the total noise near the viaduct reached 88 dB(A) and decreased with the increase in the distance; at 120 m from the track centerline, the total noise decreased to less than 57 dB(A). As the distance increased, the total noise diminished across the entire frequency spectrum. Notably, low-frequency noise decayed at a slower rate than high-frequency noise. As the distance from the track centerline doubled, the total noise decreased by about 4.23 dB(A). The total noise increased with train speed. When the train speed doubled, the total noise at 30 m and 120 m from the track centerline increased by 6.32 dB(A) and 5.96 dB(A), respectively. The reason for this phenomenon is that the wheel-rail forces increase with the increase in train speed. This study will have important guiding significance and scientific value for the sustainable development of urban rail transit. Full article
(This article belongs to the Special Issue Sustainable Study of Railway Engineering and Rail Transportation)
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16 pages, 3480 KiB  
Article
Temporal-Spatial Analysis of Chinese Railway Efficiency Under CO2 Emissions: A Malmquist–Network Data Envelopment Analysis Model
by Wenxin Ji and Feifei Qin
Sustainability 2024, 16(20), 9013; https://doi.org/10.3390/su16209013 - 18 Oct 2024
Cited by 1 | Viewed by 1164
Abstract
With the rapid development of China’s economy, railway transport has increasingly become the main mode of medium and long-distance transport in China. At the same time, we find that in the process of technical improvement, the greenhouse gases emitted from railway locomotives not [...] Read more.
With the rapid development of China’s economy, railway transport has increasingly become the main mode of medium and long-distance transport in China. At the same time, we find that in the process of technical improvement, the greenhouse gases emitted from railway locomotives not only affect the environment but also have a big influence on operational effectiveness. In order to clearly understand whether the total undesired output—CO2 emissions—will have an impact on railway efficiency and the environment, we proposed a Malmquist–Network DEA model. Based on the data of 18 railway bureaus in China during the period of 2006–2020, we adopted the Malmquist–NDEA model to analyze the different efficiencies of each stage of the railway operation in China and analyze the environmental efficiency of China’s railway using temporal and spatial dimensions. We found that (1) including the CO2 emissions as an undesirable output in the model has an inverse effect on both the overall efficiency and the production consumption and profit stage efficiencies; (2) the average overall efficiency of these 18 rail bureaus has shown relative stability, and the negative effects of CO2 on the construction development and production stages are much lower than on the consumption and profit stages; and (3) the rail systems in the eastern areas have higher efficiencies in their construction development stage compared to the other two areas. Full article
(This article belongs to the Special Issue Sustainable Study of Railway Engineering and Rail Transportation)
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