Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

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As mentioned above, the critical values are consistent, since the preferences are transitive. But will these critical values as decision rules classify an observation in a transitive way? In other words it is desirable that, if an observation is classified as a truck origin by the barge-truck classification rule, and as a rail origin by the rail-truck classification rule, it should not be classified as a barge origin by the rail-barge rule. Transitivity in classification will not be generally respected, and this can be seen in the following way. From the definition ofwe Xij , have (36) X 31 - X 21 = X 32 for any particular observation. In the case of the January non-weighted critical values: X 31 2 -8.59 if truck is to be chosen in place of-barge, X 21 S -4.45 if barge is -to be chosen in place of rail, X 32 S - 3.44 if rail is to be chosen in place of truck. Such an intransitive classification is entirely possible within restriction (36). If X 32 cannot be greater than -3.44, it.follows. that on the left-hand . side of (36) X 31 should be small compared to X 21 . In the present situation X can be as small as -8.59, and X 21 as large as -4.45. Subtracting -4.45 .31 from , -8.59 gives -.4.14,.the corresponding value of X32 , which is smaller than 73.44. Therefore, there could be observations classified in an intransitive fashion by this set of decision rules. Diagram 1 maps-the area of intransitivity for this case. The shaded area corresponds to the set of X 31 and X 21 values such that the classification would be intransitive. It suggests also that to preclude intransitivity, it-is necessary that 1 - 2 21 32 in which case the shaded araa would be reduced to a point. None of the sets of decision rules fulfills this condition. However, this problem should not be given much importance. In-the case of the January non-weighted data, no observation was within the area of intransitivity. Moreover, the observations falling in that area could only correspond to origins where the shippers are close to indifference. One might wish not to classify them at all. Another solution would be to correct the - Xij 's in such a way that the transitivity condition X - X = X would be 31 21 32 respected. In the case of January non-weighted data, we would then have 3; = 8.36, 7("21-= -4.68, and X32 = -3.66. 31 51
-X _21 5.15 L4.45 TRUCK RAIL lalm■••• DIAGRAM 1 AREA BARGE AREA 7.89 8.59 -X 31 Given equation (36) it is also possible to draw the boundaries of the three decision regions on the X 31 X21 plane, as was done in Diagram 1. We can now compute theprobabilities that each mode will be chosen at a.particular shipment point by using equation (25) for P 1 (X), and the corresponding equations for P 2 (X), and P 3(X). Let us compute an example, assuming that X31 = -lo --' -21 weighed set of rules, 6, and X 32 = -4. Then, for the January • n 3 (X31 ) n (X ) 2 21 n 3 (X32 ) in " -1.412, in _ = r. • 797 . in n = -.126. 1 21 (X 2 32 ). The inverse of these ratios are identical except for the sign. It follows that 1 1 P (X) - .591 P 1 2 (X) = - .244 1 + e -1.412 + e -.797 1 + e -.126 + e .797 1 P 3 (X) - .161. 1 + e 1.412 + e .126 P 1 (X) + P 2 (X) + P 3 (X) = .591 + .244 + .161 = .996, which is very close to 1. As the probability that barge will be chosen is .591, one should classify this origin as a barge origin. Note that if the probabilities were used to classify 52
Page 1 and 2:
c,q /kao, PROPERTY OF THF H S. GOVE
Page 3 and 4:
INSTITUTE FOR WATER RESOURCES In 19
Page 5 and 6:
NORTHWESTERN UNIVERSITY AN ECONOMET
Page 7 and 8:
ACKNOWLEDGMENTS LIST OF FIGURES •
Page 9 and 10:
Figure FIGURES Page 3.1 Two-Market
Page 11 and 12:
Table Page 4.12 Rail Rate Regressio
Page 13 and 14:
Table 4.A.5 Rate Regression Rail Qu
Page 15 and 16:
This paper presents an economic mod
Page 17 and 18:
All transport modes are designed to
Page 19 and 20:
CHAPTER II REVIEW OF THE LITERATURE
Page 21 and 22:
The first significant generalizatio
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artificially contrived solution met
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trannportnLion, thin neglect ham cP
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to the mode under consideration, cr
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that even if the reasoning is 'corr
Page 31 and 32:
competition, that is where the qual
Page 33 and 34:
His estimating process is divided i
Page 35 and 36:
Table 2.1 COMMODITIES CARRIED ON TH
Page 37 and 38:
- 15 In a recent volume on the de=a
Page 39 and 40:
aggregation over regions for each c
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for each of the modes under the ass
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ail rates, and here he encountered
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had statistical significance; howev
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flows with actual shipments. 21 The
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CHAPTER III THE TWO-MARKET MULTI-MO
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the market price in A it is obvious
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P b P o P a T r 0 Fig. 3.4 -- Equil
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for all quantities, we conceive of
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0 (3.6.A) (3.6.B) Q 2 Fig. 3.6 -- T
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• Q2 Qi Q0 Fig. 3.7 -- Two-Mode M
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preference. He pays money today for
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Situation II: Producer Ownership. T
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little consideration will reveal th
Page 67 and 68:
considered these costs in several f
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Then, to calculate the rate of chan
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(T1) (T2) The effect upon Q of an i
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(3.A.7) (3.A.8) APPENDIX A TO CHAPT
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(3.A.17) (3.A.18) ■FQ 5-(43-- -7,
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term more negative and, since it is
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and its inverse (3.B.8) T c • C(Q
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Now, going back to equation (3.3.7)
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APPENDIX C TO CHAPTER THREE The Two
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product to be transported, Q1 units
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(3.C. 3) ,(3.C.6) The monopolist's
Page 89 and 90:
To obtain the greatest profits, the
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.1., OA The sign of — is only sli
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(4.11) (4.12) (4.13) (4.14) 111 Tc
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(4.26) (4.27) (4.28) (4.29) (4.30)
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The tons figure is the total tonnag
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Since the aim of this study is to e
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Distance ' Quantity Rate Eq. (4.33)
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Distance Quantity Rate Eq. (4.33) (
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Distance Quantity Rate Eq. , Source
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Distance Quantity Rate . Eq. Distan
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where R E average, revenue received
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• Table 4.8 332.42 808.54 478.58
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269.02 931.44 900.75 0.98 0.98 0.97
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Table 4.12 RAIL RATE REGRESSIONS FI
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1. date of the freight bill. 2. ori
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(4.41) Rik ■ 0 30 + 0 31 Mik + 0
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making is usually taken to refer to
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Total 728 79,603 Reduction due to m
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Source of Variance Total Reduction
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there is a wide difference between
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All Commodity Classes. Table 4.20 c
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Source of Variance Total 100 599,25
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Intercept Distance Quantity Density
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Intercept Distance Quantity Density
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stability and density showed very l
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groups into STCC commodity groups,
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The reduced form of this system is
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Exogenous , Changes(X) Transport de
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the quantity of commodity k transpo
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Regression Distance < 200 mi. Rail
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Regression Distance Rail Motor Dist
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increase with distances. This is ra
Page 153 and 154:
Table 4.33 contains the derived rat
Page 155 and 156:
Sample Regression Size Intercept M2
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Mode Int. Mode Sample Size Rate Tab
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Mode Sample Size Table 4.38 STCC 32
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Sample Regression Size Intercept Di
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Table 4.42 STCC 37 - TRANSPORTATION
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the three-mode model. Table 4.43 di
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Summary of the Empirical Results In
Page 169 and 170:
Table 4.45 FREIGHT RATE DATA ANALYS
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Commodity Group II III IV V Total C
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Group Mode . I Truck Rail Water /I
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shipments. After a lengthy analysis
Page 177 and 178:
for Group III is positive, large an
Page 179 and 180:
of the underlying structural parame
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Table 4.49 DEMAND REGRESSIONS FINAL
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• supply The model assumes that t
Page 185 and 186:
Commodity Group Table 4.50 DEMAND A
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APPENDIX A TO CHAPTER FOUR The Effe
Page 189 and 190:
Table 4.A.2 RATE REGRESSION RAIL QU
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Table 4.A.4 RATE REGRESSION RAIL QU
Page 193 and 194:
The overall tendency appears to be
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CHAPTER V SUMMARY AND CONCLUSIONS R
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theoretical basis for their empiric
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competitive industries. Applying th
Page 201 and 202:
in the appendix to that chapter. Th
Page 203 and 204:
BIBLIOGRAPHY Baumol, W. J., "Calcul
Page 205 and 206:
United States Department of Commerc
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NORTHWESTERN UNIVERSITY A MODEL OF
Page 209 and 210:
CHAPTER IV EMPIRICAL RESULTS . Page
Page 211 and 212:
. INTRODUCTION Our goal is to study
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Other studies have been done by the
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. Recently air freight has grown aw
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• For instance, suppose a firm ha
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eceive the same criticisms as above
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Per Cent WA Decrease From Current L
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• Cargo . Brewer's analysis depen
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A different type of approach, is ta
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These substantial estimates of elas
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and the consumption points. These a
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Initially, the determinants of a fi
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axis. Q is the quantity the firm wo
Page 235 and 236:
Arc elasticity of the associated tr
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• same A*es (-p)/-11 Skto 4441.
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Suppose that the range of one choic
Page 241 and 242:
is better than getting P 2 tomorrow
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A, At the kink P . Any_further rais
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market price; or inventory costs ma
Page 247 and 248:
The shipper must pay a transport bi
Page 249 and 250:
quantity transported of Z decreases
Page 251 and 252:
The analysis yields a downward slop
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of each market and calculates each
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If more consumption points ,are add
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or ( 5 1) . 1. Q-14.)4 `("P)EXarg (
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4. 0 -A? 040- Net MR 1 0 so. Ira."
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To determine the demand curve for t
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I • The above equations (1-4) wer
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(I). 1■1 (7). Id. (8). •a 0.0.1
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• goods arrive (so that Q A+Q S g
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k The optimal amounts of QA and Q s
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it has been used in economics. Basi
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An analogous relationship exists fo
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• • (11). Now a probability dis
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--_.—..---...........AawmarA D SA
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, (1). APPENDIX TO CHAPTER III SENS
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decreases. Proper choice of P rA (X
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products, have different cost funct
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The above data falls short of the q
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lower than air rates. It rises more
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One of the objectives of the study
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a. Regression equation TABLE IV-1 r
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significant. 8 It was, therefore, d
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in large tonnages tend to have a lo
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T .A T ° S Highest value per pound
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. In addition, only the smallest qu
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Here the deviations are zero. The r
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certain range, the demand estimates
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expected as goods in the discrimina
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• BIBLIOGRAPHY [1] Air Cargo Maga
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[24] 2 Study of the Possibilities f
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[42] Dawson, Michael, "A Technique
Page 313 and 314:
[62] Gorham, G., Sealy, K.R. 1 and
Page 315 and 316:
■•■•■■•••••
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[100] Richards, Anthony, The Role o
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[120] Traffic World Marketing Study
Page 321 and 322:
! i \ NORTHWESTERN UNIVERSITY FREIG
Page 323 and 324:
While working on this dissertation
Page 325 and 326:
BIBLIOGRAPHY Anderson, T.W. "An Int
Page 327 and 328: VITA MICHEL VINCENT BEUTHE Born in
Page 329 and 330: of cost iv iazroduced at once along
Page 331 and 332: In the present theoretical formulat
Page 333 and 334: It is possible to generalize this m
Page 335 and 336: however, because of their nature, t
Page 337 and 338: ij xo ij ,Diagram 3, . 0 X ij of th
Page 339 and 340: equal to+ where E is the median of
Page 341 and 342: CHAPTER II Discrimination With One
Page 343 and 344: which is,.in this case, the only q
Page 345 and 346: Notc that the first subscript of a.
Page 347 and 348: I .' 1) (22) P 1 (X) = (25) Therefo
Page 349 and 350: (34) P 2 (X) (36) 1 = 1 a b c ' and
Page 351 and 352: CHAPTER III An Application - Corn T
Page 353 and 354: time the draft is honored by the co
Page 355 and 356: 2. Critique of the Data. We must no
Page 357 and 358: made through questionnaires to coun
Page 359 and 360: we can still hope to obtain satisfa
Page 361 and 362: common and contract carriers are co
Page 363 and 364: Table II. Rail Time Regressions: Ti
Page 365 and 366: 3. The Statistical Results. After t
Page 367 and 368: Table IV gives the discriminant fun
Page 369 and 370: February non-weighed July weighed T
Page 371 and 372: the binary problems, when the choic
Page 373 and 374: Table VII Probabilities that an obs
Page 375 and 376: Table VIII, Probability of Correct
Page 377: significantly different from the 'n
Page 381 and 382: CHAPTER IV. A Predictive Model of R
Page 383 and 384: C ab /C a is smaller than one, the
Page 385 and 386: II. Rail-Water Competition: One Por
Page 387 and 388: Until now, no attention has been pa
Page 389 and 390: 9 ) (Z a - kZ b ) = C w /C r Zab +
Page 391 and 392: shipper. In the reality of competit
Page 393 and 394: DIAGRAM 5 For the most interesting
Page 395 and 396: DIAGRAM 7 waterway may be numerous.
Page 397 and 398: Note the restriction of Y to its ab
Page 399 and 400: the road-water route. In (24) C t (
Page 401 and 402: Squaring both sides, one obtains an
Page 403 and 404: interesting expressions. However, t
Page 405 and 406: CHAPTER V. This chapter attempts to
Page 407 and 408: TOTAL . COST D = -(L r - L t ) 2 Th
Page 409 and 410: 2. Two Markets Model. subject --co
Page 411 and 412: X 0, X 2 - 0. It can readily be see
Page 413 and 414: the river does not have any --, but
Page 415 and 416: :sLY: x rail 0 truck 0 rail and tru
Page 417 and 418: 'NLY: K rail 0 truck 0 rail and tru
Page 419 and 420: Table XI. Rail Rates Regressions: C
Page 421 and 422: mileages. The reason why this ratio
Page 423 and 424: Table XIII. Boundary Equations. Wat
Page 425 and 426: DIAGRAM 21 Figure T shows the actua
Page 427 and 428: truck sample is small ( 148 origins
Page 429 and 430:
In this application of the spatial
Page 431 and 432:
NORTHWESTERN UNIVERSITY LIBRARY Man
Page 433 and 434:
in the dissertation. In addition, h
Page 435 and 436:
Analysis of Tow in Motion 66 Introd
Page 437 and 438:
Table • TABLES Statistical Result
Page 439 and 440:
deepening or widening the channel,
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lines and isoquants. This locus is
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limited to the cost and production
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problem because engineers also atte
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are ignored. Making sure that the r
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variables, the form of the basic re
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family of cost curves obtained in t
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economies of scale exist in ihe tra
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in which R = resistance, in taw-rop
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(2)marginal productivity of the boa
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conditions are not always met in pr
Page 461 and 462:
production relationship, e.g., a ma
Page 463 and 464:
Howe's production and planning mode
Page 465 and 466:
of the barge coefficient seemed to
Page 467 and 468:
1962 counterparts. However, only (1
Page 469 and 470:
A 10 peicont increase in all inputs
Page 471 and 472:
proportion of constant costs. Typic
Page 473 and 474:
In short, cost was estimated as a f
Page 475 and 476:
o f cars, etc.). Each is then multi
Page 477 and 478:
haul. The variable (Z/X) was used i
Page 479 and 480:
In the switching process--which con
Page 481 and 482:
defined to be the percentage change
Page 483 and 484:
other production analysis of rail i
Page 485 and 486:
of transportation, the inputs contr
Page 487 and 488:
It will be convenient to define T f
Page 489 and 490:
vchicles, is considered to be a poi
Page 491 and 492:
F t (v) = B/v. 6 Therefore, the equ
Page 493 and 494:
The graphical expression of Equatio
Page 495 and 496:
And the distance traveled, D c , du
Page 497 and 498:
CHAPTER IV LINEHAUL PROCESS FUNCTIO
Page 499 and 500:
Form of Process Function The proces
Page 501 and 502:
particular . trip', that tonnage ma
Page 503 and 504:
ostimated from a capacity cable for
Page 505 and 506:
The function was originaliy fit by
Page 507 and 508:
were greater than 11 miles per hour
Page 509 and 510:
effective-push functions will be ex
Page 511 and 512:
ilotilla. These assumptions will no
Page 513 and 514:
Upon testing the hypotheses indicat
Page 515 and 516:
for in the first case tows were sem
Page 517 and 518:
a 0 / V I HP 3000 - 12 - 225 • H
Page 519 and 520:
3.5 3.0 1.5 5.. 2.0 7, 4.0 ■•
Page 521 and 522:
A final note concerning the effect
Page 523 and 524:
predict the time required for trave
Page 525 and 526:
Given the tonnage, 0, to be carried
Page 527 and 528:
existence. For example, the locks o
Page 529 and 530:
If all locks on the waterway arc tr
Page 531 and 532:
loaded ones in 1950; therefore p is
Page 533 and 534:
T L -2; Single Double Locking Locki
Page 535 and 536:
u T L 1 Table 4.7 INDIVIDUAL AND SY
Page 537 and 538:
it would leave the system. Alternat
Page 539 and 540:
The government should incur the cos
Page 541 and 542:
I si,:e was 3.1 bares. The small av
Page 543 and 544:
To simplify the analysis all delay-
Page 545 and 546:
characteristics and delays. Therefo
Page 547 and 548:
Equation (4.37) divides the total :
Page 549 and 550:
Xore confidence may be attached to
Page 551 and 552:
Recapitulation of Tow Linehaul Proc
Page 553 and 554:
function. The difference beiween th
Page 555 and 556:
S -, speed of water, in miles per h
Page 557 and 558:
y the above analysis, but for more
Page 559 and 560:
econoinic analysis of the rail linc
Page 561 and 562:
deceleration, Equation (3.8). Moreo
Page 563 and 564:
Then the cargo weight of the ith ca
Page 565 and 566:
(4, 6, or 8), the weight of the loc
Page 567 and 568:
Analysis of Train in Motion Introdu
Page 569 and 570:
and F(v) = 1.3w c + 29a 0.045w c v
Page 571 and 572:
Adiustment for Grade and Curvature.
Page 573 and 574:
Curve resistance, like grade resist
Page 575 and 576:
F . 0 VI Fd(v) F (v) t Fig. 5.1 --
Page 577 and 578:
and (5.26), and 2-miles-per-hour sp
Page 579 and 580:
per trip into several components, e
Page 581 and 582:
N t = number of trains on a given r
Page 583 and 584:
Table 5.1 STATISTICAL ANALYSIS OF T
Page 585 and 586:
Each of the terms V f and C represe
Page 587 and 588:
nowever, in the case of the rail li
Page 589 and 590:
-, 1 9, D 0 ,- ._ 200 ! i 175 '—
Page 591 and 592:
Horsepowe r ( in t hou sa n ds ) 3
Page 593 and 594:
exceeded 6,000 horsepower, for at p
Page 595 and 596:
Curvatures of greater than 5 degree
Page 597 and 598:
hohavior of rail costs. First, the
Page 599 and 600:
eing charged at the higher rate. Th
Page 601 and 602:
2. If train speed is greater than o
Page 603 and 604:
maximula attainable horsepower of t
Page 605 and 606:
price for each locomotive unit from
Page 607 and 608:
I L' is given by (0.5)($94HP L - $4
Page 609 and 610:
Figure 5.4 displays a set of short-
Page 611 and 612:
Economics of scale, in fact, seem t
Page 613 and 614:
Tab1e 5.8 LONG-RUN MARGINAL COST OF
Page 615 and 616:
obtained this way may then be added
Page 617 and 618:
The estimating methods for each of
Page 619 and 620:
Cos t per ton -mi le (m ;1 1s ) 7.2
Page 621 and 622:
CHAPTER VI SUMMARY AND CONCLUSIONS
Page 623 and 624:
eached for acceleration, which take
Page 625 and 626:
wide range of output would have to
Page 627 and 628:
Isoquants between car and locomotiv
Page 629 and 630:
eported in the dissertation will in
Page 631 and 632:
10. M. Bronfenbrenner and P. H. Dou
Page 633 and 634:
13. A. V.ctor Cabot and Arthur P. H
Page 635 and 636:
7. There are in fact three differen
Page 637 and 638:
26. Eric Bottoms, "Practical Tonnag
Page 639 and 640:
19. Hay, An Introduction to Transpo
Page 641 and 642:
BIBLIOGRAPHY American Railway Engin
Page 643 and 644:
Howe, Charles M... "Methods for Equ
Page 645 and 646:
Soberman, Richard. "A Railway Perfo
Page 647 and 648:
NORTHWESTERN UNIVERSITY ESTIMATION
Page 649 and 650:
TABLE OF COIMETS Page Chapter I. In
Page 651 and 652:
CHAPTER I INTRODUCTION AND REVIEW O
Page 653 and 654:
On the other hand, the statistical
Page 655 and 656:
and capital Outlays are also treate
Page 657 and 658:
TABLE 1 SUMMARY ESTIMATES OF RAILRO
Page 659 and 660:
C (X) FIGURE • ■ 9
Page 661 and 662:
The effects of two types of classif
Page 663 and 664:
egression equations will produce bi
Page 665 and 666:
S = speed in miles per hour W = wid
Page 667 and 668:
(6) S = h(HP, L, B, H, D, W) The ac
Page 669 and 670:
stock which remains idle. Under the
Page 671 and 672:
The planning function also exhibite
Page 673 and 674:
Of the production functions, (13, 1
Page 675 and 676:
sources of data. Despite the use of
Page 677 and 678:
The reader should note several them
Page 679 and 680:
from variations in rates based on v
Page 681 and 682:
service the firm would want to set
Page 683 and 684:
oat output, or effort, is not propo
Page 685 and 686:
this level of disaggregation are ex
Page 687 and 688:
CHAPTER III A STATISTICAL PRODUCTIO
Page 689 and 690:
A second way of generating data inv
Page 691 and 692:
variables, even if it is not accura
Page 693 and 694:
Three major inland waterway firms p
Page 695 and 696:
from changing depth or stream flow.
Page 697 and 698:
made for each. (In the log-linear r
Page 699 and 700:
•Ps Variable Name Riven Districts
Page 701 and 702:
Variable Name River Districts Port
Page 703 and 704:
La Variable Name River Districts TA
Page 705 and 706:
Variable Name River Districts TABLE
Page 707 and 708:
t..n .....1 TABLE 6 . . VARIABLE ME
Page 709 and 710:
A. Linear Regression (Arithi.etic M
Page 711 and 712:
are roughly comparable across all c
Page 713 and 714:
termed "labor embodied technologica
Page 715 and 716:
TABLE 8 COMPANY ONE LINEAR REGRESSI
Page 717 and 718:
the other monthly coefficients indi
Page 719 and 720:
CHAPTER IV AN ANALYSIS OF DIRECT TO
Page 721 and 722:
with the use of dummy variables. To
Page 723 and 724:
A more direct method, and the one e
Page 725 and 726:
. cost In using; for example, , cro
Page 727 and 728:
• ,,, • .. -Excluded Variables
Page 729 and 730:
200,000 EBM per year) comes to abou
Page 731 and 732:
Form C weights have limited accurac
Page 733 and 734:
study as to the level of output to
Page 735 and 736:
The firm in the sample operates a l
Page 737 and 738:
would tend to be slightly higher co
Page 739 and 740:
3. other bulk 4. petroleum products
Page 741 and 742:
In addition, river districts with s
Page 743 and 744:
where: Cost = annual total direct b
Page 745 and 746:
1964 1965 Variable Name Barge Type
Page 747 and 748:
TABLE 13 F-TESTS FOR BARGE COST REG
Page 749 and 750:
tend to rise with increases in barg
Page 751 and 752:
ing is quite consistent with a prio
Page 753 and 754:
TABLE 16 PERCENT COMMODITY REGRESSI
Page 755 and 756:
arge was to ship one more commodity
Page 757 and 758:
1 are the costs of operating and ma
Page 759 and 760:
preparation of barges is necessary
Page 761 and 762:
estimated was the same for all thre
Page 763 and 764:
TABLE 17 DIRECT BARGE EXPENSE r 2 =
Page 765 and 766:
Variable Name TABLE 19 TERMINAL EXP
Page 767 and 768:
considerable growth in the past twe
Page 769 and 770:
also be used in conjunction with di
Page 771 and 772:
to an already scheduled tow). Two k
Page 773 and 774:
The terminal results are quite tent
Page 775 and 776:
The five firms in the sample repres
Page 777 and 778:
sure the extent of this activity, a
Page 779 and 780:
1 linear form of- the functions hav
Page 781 and 782:
C. Net Tons of Barge Capacity TABLE
Page 783 and 784:
Indirect cost is the same for towbo
Page 785 and 786:
A. Total Horsepower TABLE 22 CROSS
Page 787 and 788:
1 .‘ A. Total Horsepower TABLE 23
Page 789 and 790:
to scheduling. In addition, we obse
Page 791 and 792:
:CHAPTER VII SUMMARY AND CONCLUSION
Page 793 and 794:
the coefficients of the dummy varia
Page 795 and 796:
. The coefficients of the dummy var
Page 797 and 798:
Supporting results for neutral tech
Page 799 and 800:
port agencies. A considerable amoun
Page 801 and 802:
I to inland waterway operators, sin
Page 803 and 804:
Footnotes--Continued 7 Howe, Jan.,
Page 805 and 806:
Footnotes--Continued This is also w
Page 807 and 808:
Bibliography--Continued Interstate
Page 809 and 810:
UNCLASSIFIED Security Classificatio
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Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

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