BNSF Railway Carbon Estimator
Entry Worksheet
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Company Name:
Shipment #1
Shipment #2
Shipment #3
Step 1: Commodity
*
Commodity Group:
?
Select One
Ag & Grain Products
Automotive
Lumber / Paper
Chemicals & Plastics
Coal
Construction Products
Food & Beverages
Intermodal
Machinery
Petroleum Products
Waste
Select One
Ag & Grain Products
Automotive
Lumber / Paper
Chemicals & Plastics
Coal
Construction Products
Food & Beverages
Intermodal
Machinery
Petroleum Products
Waste
Select One
Ag & Grain Products
Automotive
Lumber / Paper
Chemicals & Plastics
Coal
Construction Products
Food & Beverages
Intermodal
Machinery
Petroleum Products
Waste
*
Commodity Type:
?
Select Commodity Group
Select Commodity Group
Select Commodity Group
*
Tons per Unit:
?
Step 2: Rail Volume
*
Number of Rail Units:
?
Step 3: Geography / Mileage
Origin:
?
Destination:
?
*
Miles:
?
Step 4: Comparable Truck Volume
*
Equivalent Trucks Required:
?
Detailed Truck Performance Assumptions
Use
BNSF Default Assumptions
?
YES
NO
*
indicates required values
Customized Truck Performance Assumptions
Highway / Long Haul MPG:
?
Highway / Long Haul Out-of-Route Miles Percentage:
?
Highway / Long Haul Empty Miles Percentage:
?
Total Drayage Miles (at Origin and Destination):
?
Drayage MPG:
?
Drayage Out-of-Route Miles Percentage:
?
Drayage Empty Miles Percentage:
?
Shipment #1
Shipment #2
Shipment #3
Your Carbon Footprint and Comparison
Estimated Rail Carbon Footprint (Metric Tons CO
2
equivalent):
Estimated Long Haul Truck Carbon Footprint (Metric Tons CO2 equivalent):
Using a carload or intermodal rail solution instead of truck only would reduce this shipment's estimated Carbon Footprint by:
Please Note:
Actual carbon emissions may vary from the results provided here as a result of variable factors such as topography, weather, unique product characteristics, etc. BNSF’s carbon emission estimator was formed in collaboration with ClearCarbon Consulting, Inc. to illustrate the estimated environmental benefit that is obtained by utilizing rail as part of your company’s supply chain. These carbon estimations rely on data sources including BNSF shipment history and internal shipping metrics, along with assumptions for route mileage calculation, trucking industry averages for empty miles, out-of-route miles, and fuel efficiency (Truck Assumption: 6.5 mpg highway, 6.1 mpg city), and other data sources such as the U.S. EPA’s Climate Leaders program emission factors (Direct Emissions from Mobile Combustion Sources, May 2008).