Please use this identifier to cite or link to this item: https://doi.org/10.1111/j.1539-6924.2011.01624.x
Title: QRA Model-Based Risk Impact Analysis of Traffic Flow in Urban Road Tunnels
Authors: Meng, Q. 
Qu, X. 
Yong, K.T.
Wong, Y.H.
Keywords: Impact analysis
Quantitative risk assessment model
Road tunnel
Societal risk
Traffic volume
Issue Date: Dec-2011
Source: Meng, Q., Qu, X., Yong, K.T., Wong, Y.H. (2011-12). QRA Model-Based Risk Impact Analysis of Traffic Flow in Urban Road Tunnels. Risk Analysis 31 (12) : 1872-1882. ScholarBank@NUS Repository. https://doi.org/10.1111/j.1539-6924.2011.01624.x
Abstract: Road tunnels are vital infrastructures providing underground vehicular passageways for commuters and motorists. Various quantitative risk assessment (QRA) models have recently been developed and employed to evaluate the safety levels of road tunnels in terms of societal risk (as measured by theF/Ncurve). For a particular road tunnel, traffic volume and proportion of heavy goods vehicles (HGVs) are two adjustable parameters that may significantly affect the societal risk, and are thus very useful in implementing risk reduction solutions. To evaluate the impact the two contributing factors have on the risk, this article first presents an approach that employs a QRA model to generate societal risk for a series of possible combinations of the two factors. Some combinations may result inF/Ncurves that do not fulfill a predetermined safety target. This article thus proposes an "excess risk index" in order to quantify the road tunnel risk magnitudes that do not pass the safety target. The two-factor impact analysis can be illustrated by a contour chart based on the excess risk. Finally, the methodology has been applied to Singapore's KPE road tunnel and the results show that in terms of meeting the test safety target for societal risk, the traffic capacity of the tunnel should be no more than 1,200 vehs/h/lane, with a maximum proportion of 18% HGVs. © 2011 Society for Risk Analysis.
Source Title: Risk Analysis
URI: http://scholarbank.nus.edu.sg/handle/10635/59175
ISSN: 02724332
DOI: 10.1111/j.1539-6924.2011.01624.x
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