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Risk and Resilience Analysis of Road Tunnels

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

Deadline for manuscript submissions: closed (1 March 2024) | Viewed by 1084

Special Issue Editors


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Guest Editor
Department of Civil Engineering, University of Salerno, 84084 Fisciano, Italy
Interests: statistical analysis of traffic accidents; computational fluid dynamics modeling; people evacuation process; road tunnel resilience; risk analysis; concrete spalling; road pavement combustion; traffic simulation

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Guest Editor
Department of Civil Engineering, University of Salerno, 84084 Fisciano, Italy
Interests: risk analysis; computational fluid dynamics modeling; people evacuation process; road tunnel resilience; hydrogen safety; traffic simulation

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Guest Editor
Department of Civil Engineering (DICIV), University of Salerno, 84084 Fisciano, SA, Italy
Interests: transportation engineering; risk analysis; methods and models for statistical analysis of road accidents; computational fluid dynamics modeling of fire in tunnels; people evacuation process; tunnel resilience; risks due to the transport of hydrogen and electric vehicles; concrete spalling; road pavement combustion; traffic simulation
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Special Issue Information

Dear Colleagues,

To meet the continuous growth in traffic demand, the number of road tunnels worldwide has increased day by day. The design of new road tunnels or the adaptation of existing ones to meet the minimum safety requirements is often the only solution to overcoming certain obstacles. However, this has raised many concerns among practitioners in the transport sector, particularly in relation to fire safety. In fact, several studies and tragic real events have shown that the occurrence of fires in tunnels can lead to significant economic losses and deaths due to their enclosed nature. Consequently, it is necessary to provide more in-depth scientific knowledge on fire safety in road tunnels. Risk analysis might be a useful tool for this purpose. Moreover, the occurrence of a fire in a road tunnel could cause its partial or complete closure, with consequences that might also extend along the nearby transportation network. The resilience of road tunnels, or more generally of the infrastructure containing them, is thus a crucial issue of economic and social interest. Therefore, this Special Issue focuses on risk and resilience analysis in the event of fires in road tunnels.

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Risk analysis;
  • Safety issues and relative countermeasures;
  • Statistical analysis;
  • Computational Fluid Dynamics (CFD) modeling;
  • People evacuation;
  • Resilience;
  • Traffic simulation modeling;
  • Combustion of road pavement;
  • Concrete spalling;

We look forward to receiving your contributions.

Dr. Isidoro Russo
Dr. Gianluca Genovese
Prof. Dr. Ciro Caliendo
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

  • road tunnel fire
  • risk analysis
  • user safety
  • statistical analysis
  • computational fluid dynamics
  • people evacuation
  • resilience
  • traffic simulation
  • road pavements
  • concrete spalling

Published Papers (1 paper)

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Research

17 pages, 2525 KiB  
Article
An Integrated Model for Risk Assessment of Urban Road Collapse Based on China Accident Data
by Zewei Zhang, Qingjie Qi, Ye Cheng, Dawei Cui and Jinghu Yang
Sustainability 2024, 16(5), 2055; https://doi.org/10.3390/su16052055 - 01 Mar 2024
Viewed by 562
Abstract
With the deepening development and utilization of urban underground space, the risk of urban road collapse is becoming increasingly prominent, which is a serious threat to the safety of life and property. Therefore, the risk assessment of urban road collapse has vital significance [...] Read more.
With the deepening development and utilization of urban underground space, the risk of urban road collapse is becoming increasingly prominent, which is a serious threat to the safety of life and property. Therefore, the risk assessment of urban road collapse has vital significance for the safety management of cities. The main idea is to predict ongoing accidents by analyzing historical accident cases in depth. This paper explores the combination of Interpretative Structural Modeling (ISM) and Bayesian Networks (BNs) to construct a risk assessment model of road collapse. First, the main risk factors of road collapse and their coupling relationships are identified, which is used to increase the low reliability of complex systems. Then, the risk factors of road collapse are logically divided by ISM to obtain the BN hierarchy. Finally, the BN node probabilities are evaluated by the Expectation–Maximization (EM) algorithm using the collected 92 real road collapse accident cases. The model can be used to quantify the coupling strength and influence degree of each risk factor on the occurrence of road collapse accidents, which in turn can predict the probability of road collapse accidents in a given scenario. This study can provide a theoretical basis for urban safety management and reduce the risk of road collapse and potential loss of life and property, which is important for the sustainable development of societies. Full article
(This article belongs to the Special Issue Risk and Resilience Analysis of Road Tunnels)
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