The evaluation of link criticality is an important step for public officials to apply when planning hazard mitigation. However, this type of analysis presents numerous challenges for capturing the impact of highly stochastic hazard events accurately. An analytical framework and an efficient solution procedure for the evaluation of link criticality are proposed: those tools consider the impact of day-to-day degradable conditions in transportation networks. Link capacity was examined as a multistatus variable, and a sampling technique was used to generate realizations of capacity value for transportation networks. With different capacity realizations, traffic demand was repeatedly assigned on the regional planning model network. The assignment results were measured with multiple criteria and analyzed with several statistical indices. A case study based on a section of the New Jersey roadway network verified the proposed approach.
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering