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QRA model -based risk impact analysis of traffic flow in urban road tunnels

Recurso electrónico / electronic resource
Registro MARC
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LDR  00000cab a2200000 4500
001  MAP20110074869
003  MAP
005  20120119114019.0
008  111229e20111201usa|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎7
24510‎$a‎QRA model -based risk impact analysis of traffic flow in urban road tunnels‎$c‎Qiang Meng... [et al.]
520  ‎$a‎Road 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 the F/N curve). 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 in F/N curves 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 twofactor impact analysis can be illustrated by a contour chart based on the excess risk. Finally, the methodology has been applied to Singapores 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
650 1‎$0‎MAPA20080591182‎$a‎Gerencia de riesgos
650 1‎$0‎MAPA20080601522‎$a‎Evaluación de riesgos
650 1‎$0‎MAPA20080545611‎$a‎Túneles
650 1‎$0‎MAPA20080588953‎$a‎Análisis de riesgos
650 1‎$0‎MAPA20080633578‎$a‎Índices estadísticos de accidentabilidad
7001 ‎$0‎MAPA20110013103‎$a‎Meng, Qiang
7730 ‎$w‎MAP20077000345‎$t‎Risk analysis : an international journal‎$d‎McLean, Virginia : Society for Risk Analysis, 1987-2015‎$x‎0272-4332‎$g‎01/12/2011 Tomo 31 Número 12 - 2011 , p. 1872-1882