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32 JOURNAL OF TRANSPORTATION AND STATISTICS V8, N1 2005TABLE A1 All Ton-Miles (continued)Eno Ton-Miles(billions)Mode 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001Air 10 10 11 12 12 13 14 14 14 15 16 15Intercity truck 735 758 815 861 908 921 972 996 1,027 1,059 1,074 1,051Railroad 1,091 1,100 1,138 1,183 1,275 1,375 1,426 1,421 1,442 1,499 1,534 1,558Water 353 345 353 340 356 366 355 356 357 362 360 348Rivers/canals 292 290 298 284 298 306 297 294 295 305 303 297Great Lakes 61 55 56 56 58 60 58 62 62 57 58 51domesticPipeline 584 579 589 593 591 601 619 617 620 618 577 576Oil and oil 584 579 589 593 591 601 619 617 620 618 577 576productsNatural gas — — — — — — — — — — — —TOTAL 2,774 2,792 2,906 2,989 3,142 3,276 3,386 3,404 3,459 3,552 3,561 3,548TABLE A2 Airline Freight, Express, and Mail Revenue Ton-Miles(billions)1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 pAir (improved 10.420 9.960 10.990 11.540 12.030 12.720 13.760 13.900 14.140 14.500 15.810 13.288 13.837 15.096BTS) 1,2Air (NTS) 3 9.064 8.860 9.820 10.675 11.803 12.520 12.861 13.601 13.840 14.202 14.983 13.088Air (Eno) 4 10.420 9.960 10.990 11.540 12.030 12.720 13.760 13.900 14.140 14.500 15.810 15.1801U.S. Department of Transportation, Bureau of Transportation Statistics, Office of Airline Information, Air Carrier Traffic Statistics Monthly (Washington, DC: 1990–2003), Freight, Express, and MailRevenue Ton-Miles table, p. 2, line 3.2 Federal Aviation Administration, supplementary statistics.3U.S. Department of Transportation, Bureau of Transportation Statistics, National Transportation Statistics (Washington, DC: 2003), table 1-44.4Eno Transportation Foundation, Transportation in America (Washington, DC: 2002).Key: p = preliminary.
TABLE A3 Development of Truck Ton-Mile Estimates1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 pOak Ridge National Lab910 1,109estimate (billions) 1Single-unit truck VMT 52 53 54 57 61 63 64 67 68 70 71 72 76 78(billions) 2Combination truck VMT 94 97 100 103 109 115 119 125 128 132 135 137 139 138(billions) 2Total truck VMT (billions) 146 150 153 160 170 178 183 191 196 203 206 209 215 216Truck VMT index,0.915 0.935 0.959 1.000 1.065 1.114 1.144 1.197 1.228 1.268 1.285 1.307 1.342 1.3501993 baseEstimated truck traffic, 1993 832 851 873 910 968 1,014 1,041 1,089 1,117 1,153 1,169 1,189 1,221 1,228base (billion ton-miles)Truck VMT index,0.764 0.782 0.802 0.836 0.890 0.931 0.956 1.000 1.026 1.059 1.074 1.092 1.122 1.1281997 baseEstimated truck traffic, 1997base (billion ton-miles)848 867 889 927 987 1,033 1,060 1,109 1,138 1,175 1,191 1,212 1,244 1,2511 U.S. Department of Transportation, Bureau of Transportation Statistics, Transportation Statistics Annual Report (Washington, DC: 2000), p. 124.2 U.S. Department of Transportation, Federal Highway Administration, Highway Statistics (Washington, DC: 1990–2003), table VM-1.Key: p = preliminary; VMT = vehicle-miles traveled.TABLE A4 Truck Ton-Miles(billions)DENNIS 331990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 pIntercity truck(NTS, Eno) 1, 2 735 758 815 861 908 921 972 996 1,027 1,059 1,074 1,051All truck, 1997 base(improved BTS)854 874 896 936 996 1,042 1,071 1,119 1,149 1,186 1,203 1,224 1,255 1,2641U.S. Department of Transportation, Bureau of Transportation Statistics, National Transportation Statistics (Washington, DC: 2003), table 1-44.2 Eno Transportation Foundation, Transportation in America (Washington, DC: 2002), p. 42.Key: p = preliminary.
Page 1 and 2: Volume 8 Number 1, 2005ISSN 1094-88
Page 3 and 4: A PEER-REVIEWED JOURNALJOURNAL OF T
Page 5: JOURNAL OF TRANSPORTATION AND STATI
Page 9 and 10: The Dynamics of Aircraft Degradatio
Page 11 and 12: would show a corresponding increase
Page 13 and 14: FIGURE 2 Aircraft Degradation and R
Page 15 and 16: so that- r 2 1 ) . (15)This change
Page 17 and 18: β⎛⎜⎜⎜= ⎜⎜⎜⎜⎝β 1
Page 19: and the fleet management practices
Page 22 and 23: of passengers and cargo to the econ
Page 24 and 25: TABLE 3 Cycle Parameters and Final
Page 26 and 27: TABLE 4 Forecasts of Numbers of Pas
Page 28 and 29: FIGURE 4 Slope Components for the Z
Page 30 and 31: 2. LS: this kind of intervention ha
Page 32 and 33: CONCEPTTon-miles is the primary phy
Page 34 and 35: FIGURE 2 Air Freight, Express, and
Page 36 and 37: FIGURE 5 Railroad Ton-MilesTon-mile
Page 38 and 39: Transport Canada. 1990-2002. Transp
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Page 44 and 45: 36 JOURNAL OF TRANSPORTATION AND ST
Page 46 and 47: account for premature investments i
Page 48 and 49: zonal definitions. In Supernak et a
Page 50 and 51: TABLE 2 Differences Among the 1972,
Page 52 and 53: FIGURE 1 Research Sequence of Stage
Page 54 and 55: TABLE 3 Regression Models by Metrop
Page 56 and 57: TABLE 5 Tobit Models by Metropolita
Page 58 and 59: Table 9 presents the predicted aver
Page 60 and 61: TABLE 9 Aggregate Estimation Result
Page 62 and 63: TABLE 11 Tobit Estimation of Nontra
Page 64 and 65: Fleet, C. and S. Robertson. 1968. T
Page 66 and 67: INTRODUCTIONThe Intermodal Surface
Page 68 and 69: SUPPLEMENTAL STATE-LEVEL DATAIn add
Page 70 and 71: METHODOLOGYAn exploratory factor an
Page 72 and 73: Thus, a relatively large p value an
Page 74 and 75: FIGURE 1 Final Model Specifications
Page 76 and 77: CONCLUSIONSISTEA and the TEA-21 leg
Page 78 and 79: Survey Question 2: Do your agency
Page 80 and 81: Survey Question 11 (continued): Has
Page 82 and 83: Survey Question 16: Every state has
Page 84 and 85: Incidents have become one of the ma
Page 86 and 87: FIGURE 1 Map of the M4 MotorwayA40A
Page 88 and 89: TABLE 2 Variables in the Fuzzy Logi
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FIGURE 9 Result of the ANN ModelMod
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Garib, A., A.E. Radwan, and H. Al-D
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proportional to overlap length. Rou
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Fx ( )Working Correlation Matrix in
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that had a lower level of congestio
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dependent variable takes on a value
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TABLE 3 Modeling Results for the MG
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REFERENCESAbdalla, M. 2003. Modelin
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the relevant covariates including t
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BOOK REVIEWSEconomic Impacts of Int
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I found the second section dealing
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TABLE 1 Airline Employees by Busine
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JOURNAL OF TRANSPORTATION AND STATI
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U.S. Department of TransportationRe
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