Greening Roadway Infrastructure with Vetiver Grass to Support Transportation Resilience

Assessing Risk and Resilience for Transportation Infrastructure in Canada

Goods producers in Canada rely on transportation networks to move raw materials and intermediate goods among production sites and finished goods to domestic and international markets. Firms in the retail, tourism and other service sectors also depend on transportation networks to assemble supplies and goods for sale and to bring customers to their facilities. Events that disable parts of the tr...

Resilience of Transportation Infrastructure Systems : Quantification and Optimization

Title of Document: RESILIENCE OF TRANSPORTATION INFRASTRUCTURE SYSTEMS: QUANTIFICATION AND OPTIMIZATION Reza Faturechi, Doctor of Philosophy, 2013 Directed By: Professor, Elise Miller-Hooks, Department of Civil and Environmental Engineering Transportation systems are critical lifelines for society, but are at risk from natural or human-caused hazards. To prevent significant loss from disaster e...

Roadway Infrastructure for Neighborhood Electric Vehicles

Estimation of Reconstruction Cost and Traffic Functionality Relating to Roadway Transportation Lifelines after Natural Disasters

Earthquakes are among those natural hazards which may lead to disruption in the function of arterial traffic routes. Road networks are particularly vulnerable, due to their geographical dispersion, extensive functions and structural reliance on favourable geophysical conditions. Traffic functionality after a natural disaster and the repair/rehabilitation cost of roads are crucial considerations...

Defining policies to improve critical infrastructure resilience

Industrial accidents increasingly threaten society and economy; the increasing exposure and vulnerability of our modern interlaced societies contributes to intensifying their impact. Critical Infrastructures (CIs) have a prominent role, since they are vital for the welfare of the population and essential for the economic growth. As hazards are hard to predict, decision-makers need to implement ...