Journal of Transportation and StatisticsVolume 6 Number 2/3
Wednesday, March 22, 2017
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Journal of Transportation and Statistics
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NOTES: The views presented in the articles in this journal are those of the authors and not necessarily the views of the Bureau of Transportation Statistics. All material contained in this journal is in the public domain and may be used and reprinted without special permission; citation as to sources is required.
The Journal of Transportation and Statistics has been discontinued by BTS because of budget constraints. Papers are therefore no longer being accepted or considered for publication. BTS hopes to bring the Journal back as a virtual publication in the future, and will post any news about the status of JTS on this page.
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| Entire Report |
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| Editorial Board |
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| Contributors |
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| Front Matter |
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| Paper 1 - Monthly Output Index for the U.S. Transportation Sector by Kajal Lahiri, Herman Stekler, Wenxiong Yao, and Peg Young |
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| Table 1 - Final Weight for Transportation Indexes (Linked Laspeyres) |
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| Table 2 - Lead and Lag Analysis Between Transportation and the Economy |
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| Table 3 - Comparisons of Alternative Measures of Output Growth in the Transportation Sector (Compound annual rate) |
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| Figure 1 - Annual Weights for the Aggregation of Transportation |
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| Figure 2 - Total Transportation Index: Linked Laspeyes vs. Fisher Ideal |
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| Figure 3 - Three Transportation Output Indexes: Seasonally Adjusted |
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| Figure 4 - Trends in the Transportation Output Index |
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| Figure 5 - Growth Cycles in the Transportation Output Index |
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| Appendix 1 - Documentation of the Data Series |
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| Appendix 2 - Monthly Values of Transportation Indexes |
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| Paper 2 - The Importance of Transportation in the Canadian Economy by Jeff Harris |
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| Table 1 - Description of the w- and l-Level Matrices |
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| Table 2 - Composition of the Transportation Margins: 1971–1996 |
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| Table 3 - Allocation of Commercial Freight Industries' Gross Output to Transportation Margins, Own Uses, and Commercial Transportation at Factor Prices: 1976–1996 |
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| Table 4 - Transportation-Related Consumption as a Proportion of Total Consumption |
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| Table 5 - Investment by Transportation Industries |
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| Table 6 - Transportation-Related Investment by Businesses Other Than Transportation Industries |
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| Table 7 - Transportation-Related Investment by Government |
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| Table 8 - Transportation-Related Investment as a Proportion of Total Investment |
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| Table 9 - Transportation Commodities as a Share of Exports |
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| Table 10 - Transportation Commodities as a Share of Imports |
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| Table 11 - Government Spending on Transportation as a Share of Total Inputs |
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| Table 12 - Transportation Commodities as an Indirect Share of Domestic Demand |
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| Table 13 - Transportation Commododities as an Indirect Share of Exports |
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| Table 14 - Transportation Demand as a Proportion of GDP and Domestic Demand |
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| Table 15 - Exports and Imports as a Percentage of GDP: 1971–1996 |
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| Table 16 - Price, Output, and Productivity Changes in Rail and Trucking Relative to the Economy: 1981–1996 |
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| Table 17 - Transportation Demand by Categorization as Goods and Services |
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| Figure 1- The Canadian Input/Output Tables |
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| Paper 3 - Effects of Alcohol and Highway Speed Policies on Motor Vehicle Crashes Involving Older Drivers by Patrick McCarthy |
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| Table 1 - Definitions of Variables |
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| Table 2 - Descriptive Statistics: Dependent Variables |
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| Table 3 - Descriptive Statistics: Explanatory Variables |
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| Table 4 - FGLS Regression: Involved Drivers in Total and Fatal Crashes, ≥ 60 |
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| Table 5 - FGLS Regression: Involved Drivers in Injury and PDO Crashes, ≥ 60 |
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| Table 6 - FGLS Regression: Involved Drivers in Total and Fatal Crashes, < 60 |
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| Table 7 - FGLS Regression: Involved Drivers in Injury and PDO Crashes, < 60 |
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| Table 8 - Sensitivity Measures: Involved Drivers, ≥ 60 |
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| Table 9 - Sensitivity Measures: Involved Drivers, < 60 |
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| Paper 4 - Estimation and Accuracy of Origin-Destination Highway Freight Weight and Value Flows by Paul Metaxatos |
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| Table 1 - Average Distance, Time, and Speed by Decile |
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| Table 2 - Parameter Estimates for PIERS Data |
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| Table 3 - Parameter Estimates for Transborder Data |
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Table 4 - An Illustration of N ij ,  and 90% Confidence Intervals |
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| Figure 1 - PIERS Data: Weight Length Frequency Distribution |
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| Figure 2 - PIERS Data: Value Length Frequency Distribution |
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| Figure 3 - Transborder Data: Weight Length Frequency Distribution |
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| Figure 4 - Transborder Data: Value Length Frequency Distribution |
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| Paper 5 - Predicting the Construction of New Highway Links by David Levinson and Ramachandra Karamalaputi |
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| Table 1 - Assumed Values of Weights and Parameters of Parallel Link Attributes |
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| Table 2 - Regression Coefficients for Cost Model |
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| Table 3 - Estimated Models for New Construction |
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| Paper 6 - Demand Elasticity on Tolled Motorways by Anna Matas and José-Louis Raymond |
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| Table 1 - Elasticity of Traffic Level with Respect to Tolls |
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| Table 2 - Definition of the Dummy Variables Included in the Estimated Demand Equation |
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| Table 3 - Descriptive Statistics |
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| Table 4 - Estimated Demand Equation |
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| Table 5 - Estimated Short-Term and Long-Term Elasticities |
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| Table 6 - Estimation Results of the Ordered Probit Model Dependent variable: category of toll elasticity (from 1 to 4) Robust t -statistics |
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| Table 7 - Estimated Probabilities |
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| Figure 1 - Rate of Growth of GDP and Traffic Volume |
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| Figure 2 - Traffic Cycle and GDP Cycle |
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| Appendix B - Estimated General Model Dependent variable: D(LTRAFFIC) Estimation method: weighted least squares Total system (unbalanced) observations: 990 |
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| Guidelines for Manuscript Submission |
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| 2003 Reviewers |
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| Index for Volume 6 |
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| Back Cover |
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