Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels

Quantitative risk assessment modeling for nonhomogeneous urban road tunnels.

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 p...

Risk Assessment and Optimization of Road Tunnels

Probabilistic methods of risk optimization are applied to specify the most effective arrangements of road tunnels. The total consequences of alternative arrangements are assessed using Bayesian networks supplemented by decision and utility nodes. It appears that the optimization may provide valuable information for a rational decision concerning number of escape routes. Discount rate seems to a...

A probabilistic quantitative risk assessment model for fire in road tunnels with parameter uncertainty

Quantitative Risk Assessment Model for Fire in Road Tunnels with Parameter Uncertainty

Quantitative Risk Assessment (QRA) models have already been developed and used to assess various risks of road tunnels, including the societal risk and expected number of fatalities (ENF). Fire in a road tunnel is considered as the most severe disaster in that road tunnel is an enclosed space. The risk assessment for fire in road tunnels involves a number of parameters. Some of these parameters...

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

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 the F/N curve). For a particular road tunnel, traffic volume and proportion of heavy goods vehicles (HGVs...