Please use this identifier to cite or link to this item:
|Title:||Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels|
|Authors:||Meng, Q. |
Nonhomogeneous urban road tunnel
|Citation:||Meng, Q., Qu, X., Wang, X., Yuanita, V., Wong, S.C. (2011-03). Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels. Risk Analysis 31 (3) : 382-403. ScholarBank@NUS Repository.|
|Abstract:||Urban road tunnels provide an increasingly cost-effective engineering solution, especially in compact cities like Singapore. For some urban road tunnels, tunnel characteristics such as tunnel configurations, geometries, provisions of tunnel electrical and mechanical systems, traffic volumes, etc. may vary from one section to another. These urban road tunnels that have characterized nonuniform parameters are referred to as nonhomogeneous urban road tunnels. In this study, a novel quantitative risk assessment (QRA) model is proposed for nonhomogeneous urban road tunnels because the existing QRA models for road tunnels are inapplicable to assess the risks in these road tunnels. This model uses a tunnel segmentation principle whereby a nonhomogeneous urban road tunnel is divided into various homogenous sections. Individual risk for road tunnel sections as well as the integrated risk indices for the entire road tunnel is defined. The article then proceeds to develop a new QRA model for each of the homogeneous sections. Compared to the existing QRA models for road tunnels, this section-based model incorporates one additional top event-toxic gases due to traffic congestion-and employs the Poisson regression method to estimate the vehicle accident frequencies of tunnel sections. This article further illustrates an aggregated QRA model for nonhomogeneous urban tunnels by integrating the section-based QRA models. Finally, a case study in Singapore is carried out. © 2010 Society for Risk Analysis.|
|Source Title:||Risk Analysis|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 27, 2018
WEB OF SCIENCETM
checked on Apr 16, 2018
checked on Jul 6, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.