Title: Inland Navigation Economics In Progress Report
1Inland Navigation EconomicsIn Progress Report
- David A. Weekly
- David.a.weekly_at_usace.army.mil
- USACE Planning Center of Expertise for Inland
Navigation (PCXIN) - Inland Waterway Conference
- 5 March 2009
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2Topics
- Waterway Future
- History and Recessions
- Future Uses (MARAD Study)
- National Navigation Economics Product Delivery
Team (PDT) - Estimations of Value and Main Chamber Closure
Costs draft report - Budget Implications
- Great Lakes and Ohio Division (LRD) Navigation
Economics PDT - Input/Output Modeling with REMI
- Pool Loss
- Way Forward
3Economic growth (or decline) affects traffic, but
not dramatically
4Presentation To Maritime Administration, U.S.
Department of Transportation October 3, 2008
5The Five Regional Corridors Evaluated in the
Analysis include 95 percent of the population.
6Water Container potential increases dramatically
in three corridors (Great Lakes, Mississippi and
Gulf) with increasing fuel prices.
7Water bulk traffic also increases dramatically
with increased fuel prices. Example, Mississippi
increases three times if fuel is 7 per gallon.
Critical price is 2 to 4
8MARAD Study Conclusions
- Water and Rail modes are far less affected by
fuel prices than Truck. - Because Rail capacity is limited, the potential
for the Water mode is significantly enhanced. - Water traffic doubles or triples as diesel fuel
goes up from 2 to 7 per gallon. - Great Lakes, Mississippi, and Gulf corridors
generate sufficient traffic to initiate new water
service - East and West Coast generate potential for water
coastal feeder services for gateway ports
9 National PDT Objectives
- Estimate the value of each lock
- Develop a matrix of main chamber closure impacts
on industry
10 Estimate Lock Value
- Develop lock inventory database 198 projects
- Commercial cargo transportation rate savings
supplemented with savings estimated for the Gulf
Coast shrimp fleet and oil rig supply vessels - Value ranges
- 4 locks greater than 1 billion
- 15 locks 500 million - 1 billion
- 76 locks 100 million - 500 million
- 65 locks 1 million - 100 million
- 38 locks less than 1 million
11Rank by Base Savings
12Main Chamber Closure Cost Matrix
- Shipper-Carrier Cost (SCC) Model
- Estimate carrier and shipper costs of unscheduled
main lock chambers - Cost depends on response to closure
- Simulate delays at each project for each closure
duration specified - Random arrivals of historic number of tows
- Use lock specific processing times
- If delays exceed 30-60 hrs, divert to overland
route or draw from inventory - Calculate delay costs
- Estimate overland diversion costs
13Closure Cost Matrix Key Drivers
- Cost of closure
- Duration of closure
- Availability of alternatives
- Auxiliary lock chamber functioning
- Alternate water routes
- Number of transits
- Cost of alternate overland route
- Hourly operating costs
- Remember does not address closure likelihood
14SCC ResultsTop Ten Locks by Tons
- Ranked by
- mtons tons Hr 30-day
- Ohio River LD52 88.9 1 38 33
- Ohio River LD53 78.3 2 20 107
- Smithland 73.7 3 29 105
- Miss River LD27 67.7 4 33 28
- Melvin Price 65.2 5 21 94
- Newburgh LD 65.1 6 31 27
- JT Myers LD 64.6 7 24 43
- Greenup LD 62.2 8 37 46
- Soo Locks Poe 57.5 9 1 1
- Byrd LD 53.9 10 41 83
15SCC ResultsTop Ten Locks by Closure
- Ranked by
- mtons tons Hr 30-day
- Soo Locks - Poe 57.5 9 1 1
- Bowman L, GIWW 41.9 19 122 2
- Calcasieu L,GIWW 41.8 20 143 3
- Miss River LD24 30.1 24 8 4
- Miss River LD22 28.9 26 6 5
- Miss River LD19 25.5 32 7 6
- Miss River LD21 28.5 27 15 7
- Miss River LD18 24.2 35 12 8
- Miss River LD25 30.2 23 25 9
- Lagrange LD 29.0 25 26 10
16Initial SCC ResultsBudget Implications
- High tonnage locks typically have highest asset
value (most have two chambers) - Investment packages
- Base operations maintenance pkgs at high
tonnage locks should rise to the top - Incremental investment pkgs condition
assessments being equal, single chamber, high
transit locks should rise to the top
17LRD PDT Objectives
- Regional Input/Output (IO) Modeling with REMI
- Shipper savings and transportation effects
- Electric rate changes and impacts
- Inability to operate without water
- Pool Loss - estimates basin-wide
- Identify intakes and users
- Estimate water usage value
- Estimate impact on production
18LRD Nav EconomicsRegional IO Model
Work Status
Phase 1 define study area by county and assign
shipper savings to all industries Phase 2
waterway impacts all industries Phase 3
utility rate impacts Phase 4 water captive
impacts
19LRD Navigation EconomicsPool Loss
Step 1 - inventory of water intakes Step 2 -
determine actual and maximum withdrawals and
response to pool loss Step 3 - estimate of the
dollar value of water Step 4 identify
production facilities and employment and sales
data
Study Methodology
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20Inventory of Intakes
Preliminary Results
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21Municipal and Industrial Withdrawals
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22Response to Pool Loss
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23Water Value
Preliminary Results
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24Companies Affected
Preliminary Results
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25LRD Nav EconomicsPool Loss Summary
- Study looked at 3,735 miles of navigable water
way and 57 L/D projects within the Ohio River
system. - Study accounts for 388 intakes currently used to
withdraw water. 23 billion gallons a day is
withdrawn. Estimated value is about 1 billion. - For rivers, the Ohio River has the largest water
withdrawals and for pools, the McAlpine pool has
the largest withdrawal. - Municipal users account for 6 percent of the
water withdrawn and industrial users for 94
percent.
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26Way Forward 1 Improve Data
- Develop non-transportation benefits for locks and
dams - Develop regional effect economics
- Develop non-traditional impacts
- Highway congestion, accidents, emissions
- Other shipper responses like production shifts
- Probability and consequence of failure for each
level of investment for each site chambers and
dams
27Way Forward 2 Improve Modeling
- Address auxiliary closure impacts
- Incorporate dam performance and impacts
- Calculate expected closures, losses and benefits
within one model, not in steps within
spreadsheets - Calculate net benefits (use investment cost as an
input to model) - Optimize investments over a life cycle