🚛 NC Truck Parking Analysis Dashboard
Interactive Facility Location Optimization & Demand Analysis
System-Wide Performance
44.9%
Total Unmet Demand
55.1%
Trucks Served
159
Total Facilities
Base Case Performance by Facility Type
Rest Areas
0.0%
Unmet Demand
Avg Util: nan
Truck Stops
44.9%
Unmet Demand
Avg Util: nan
📋 About This Dashboard
This dashboard presents the results of a comprehensive truck parking facility location optimization study for North Carolina. The analysis evaluates the trade-offs between infrastructure costs and service quality (measured by unmet demand) across different numbers of new facilities (p = 1 to 50).
Interactive Facility Map
🗺️ Map Controls & Visual Encoding
- Major Corridors (Dark Grey): Shows I-26, I-40, I-77, I-95, and I-85
- Line Thickness = Unmet Demand (p=20 scenario) - thicker lines indicate higher unmet demand after adding 20 new facilities
- Hover over any segment to see which interstate it belongs to
- Click on any segment for detailed statistics:
- Interstate/highway name
- Unmet demand (p=20) and percentage
- New Facilities (p=20): 🛏️ Rest Areas (purple bed icon) and ⬛ Truck Stops (purple square icon)
- Other Scenarios: Use the layer control (top right) to toggle p=10, 30, 40, 50 scenarios
- p=10: Blue markers
- p=20: Purple markers (default shown)
- p=30: Orange markers
- p=40: Pink markers
- p=50: Brown markers
- Use fullscreen mode for better viewing
- Zoom and pan to explore different regions
Parametric Analysis: Unmet Demand vs Cost
Facility Type Distribution
Cost Efficiency Analysis
📊 Interpretation Guide
Diminishing Returns: Notice how the unmet demand reduction rate decreases as more facilities are added. The first 20 facilities provide the most significant improvement.
Cost Trade-off: While adding facilities reduces unmet demand, the marginal benefit decreases while costs increase linearly.
Key Findings & Recommendations
🎯 Optimal Configuration
Based on the analysis, p=20 new facilities appears to be a cost-effective solution, providing substantial reduction in unmet demand while maintaining reasonable infrastructure costs.
📈 Performance Metrics
- Base Case: Current system has significant unmet demand in both rest areas and truck stops
- Facility Utilization: Existing facilities show high utilization rates, indicating capacity constraints
- Geographic Distribution: Unmet demand is concentrated in high-traffic corridors (visible on map as thicker dark grey lines)
💡 Strategic Recommendations
- Prioritize High-Demand Corridors: Focus new facilities on segments with highest unmet demand in the p=20 scenario (thicker dark grey lines on map indicate higher residual unmet demand after 20 facilities are added)
- Balanced Facility Mix: Maintain appropriate ratio of rest areas to truck stops based on demand patterns
- Phased Implementation: Consider implementing facilities in phases to manage costs and assess effectiveness
- Expansion Strategy: Expand existing facilities in parallel with new construction where feasible
🔄 Next Steps
- Conduct detailed site assessments for selected candidate locations
- Evaluate environmental and regulatory considerations
- Develop detailed cost estimates including land acquisition and construction
- Establish monitoring framework to track performance post-implementation
- Consider seasonal variations and future demand growth projections