An optimization approach for resilient and sustainable planning of intermodal transport

Keyphrases

• Numerical Results 100%
• Optimization Approach 100%
• Resilient 100%
• Intermodal Transport 100%
• Resilience Planning 100%
• Sustainable Planning 100%
• Economic Performance 50%
• Cost Savings 50%
• Carbon Emissions 50%
• Environmental Impact 50%
• United Nations Sustainable Development Goals (UN SDGs) 50%
• Network Planning 50%
• Knowledge Gaps 50%
• Transportation Mode 50%
• Transportation Network 50%
• Planning Problem 50%
• Network Design Problem 50%
• Bi-objective 50%
• Environmental Sustainability 50%
• Capacity Utilization 50%
• Two-objective 50%
• Non-dominated Solutions 50%
• Vehicle Counting 50%
• Multimodal Network 50%
• Disruption Risk 50%
• Optimal number 50%
• Best Route 50%
• Met Demand 50%
• Network Disruption 50%
• Disruption Scenarios 50%
• Low Carbon Emission 50%
• Stochastic Formulation 50%
• Road Mode 50%
• Freight Network 50%
• Strategic Investment 50%
• Recovery Action 50%
• Augmented Constraint Method 50%

Social Sciences

• Transport 100%
• Greenhouse Gas Emissions 66%
• Stochastics 33%
• Cost Saving 33%
• Knowledge Gap 33%
• UK 33%
• Transport Network 33%
• Capacity Utilization 33%