Journal of Transportation and StatisticsVolume 6 Number 1
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 - Truth in Transportation Planning by Donald C. Shoup |
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Figure 1 - Fast Food Restaurant with Drive-Through Window (Land Use 834) Average Vehicle Trip Ends vs: 1,000 Square Feet Gross Floor Area On a: weekday |
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Figure 2 - Fast Food Restaurant with Drive-In Window (Land Use 836) Peak Parking Spaces Occupied vs: 1,000 Gross Square Feet Leasable Area On a: weekday |
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Figure 3 - Fast Food Restaurant with Drive-Through Window (Land Use 834) Average Vehicle Trip Ends vs: 1,000 Square Feet Gross Floor Area On a: weekday |
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Figure 4 - Fast Food Restaurant with Drive-Through Window (Land Use 834) Average Vehicle Trip Ends vs: 1,000 Square Feet Gross Floor Area On a: weekday |
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Figure 5 - Truck Terminal (Land Use 030) Average Vehicle Trip Ends vs: Acres On a: weekday |
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| Discussion by Carl H. Buttke and Eugene D. Arnold, Jr. |
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| Rejoinder by Donald C. Shoup |
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| Paper 2 - Modeling Trip Duration for Mobile Source Emissions Forecasting by Harikesh S. Nair and Chandra R. Bhat |
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| Table 1 - Distribution of Trips by Trip Purpose |
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| Table 2 - Distribution of Trips by Time of Day |
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| Table 3 - Empirical Results for Trip Duration Model |
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| Table 4 - Split of Home-Based Work Trips by Time of Day |
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| Table 5 - Split of Home-Based Other Trips by Disaggregate Trip Purpose and Time of Day |
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| Table 6 - Split of Nonhome-Based Trips by Disaggregate Trip Purpose and Time of Day |
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| Table 7 - EPA-Recommended Default Trip Duration Proportions |
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| Table 8 - Performance Measures of Proposed vs. Default Models for Each Trip Purpose and Time Period |
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Figure 1 - Normal Q-Q Plot of Log Trip Duration |
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Figure 2 - Normal P-P Plot of Log Trip Duration |
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| Paper 3 - Roadway Traffic Crash Mapping: A Space-Time Modeling Approach by Shaw-Pin Miaou, Joon Jin Song, and Bani K. Mallick |
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| Table 1 - Deviance Information Criterion and Related Performance Measures for Models of Various Complexities |
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| Table 2 - Example MCMC Simulation Output for Model 27: Some Statistics of the Estimated Posterior Density for a Selected Number of Parameters |
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| Figure 1 - Georgraphic Districts, Counties, and Urbanized Areas in Texas |
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| Figure 2 - Number of KAB Crashes on Rural, 2-Lane, Low-Volume, On-System Roads in Each Texas County: 1999 |
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| Figure 3 - Vehicle-Miles Traveled on Rural, 2-Lane, Low-Volume, On-System Roads in Each Texas County: 1999 |
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| Figure 4 - "Raw" Annual KAB Crash in Crashes per MVMT by County: Highest, Lowest, and Average Rates, 1992-1999 |
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| Figure 5 - Topographical Map of Texas |
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| Figure 6 - Proportion of KAB Crashes1 that Occured on Sharp Horizontal Curves in Each County |
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| Figure 7 - Proportion of KAB Crashes1 that Occurred Under Wet Pavement Conditions for Each County: 1999 |
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| Figure 8 - Proportion of KAB Crashes1 that were Intersection, Intersection Related, or Driveway Access Related for Each County: 1999 |
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| Figure 9 - Proportion of KAB Crashes1 Involving Vehicles that Ran Off Roads and Hit Fixed Objects on the Roadside for Each County |
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| Figure 10 - Estimated KAB Crash Rates1 in Crashes per MVMT by County from Model 27: 1999 |
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| Figure 11 - Locations of KAB Crashes on the State-Maintained Highway Network of a Texas County in 1999 |
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| Paper 4 - Development of a Random Sampling Procedure for Local Road Traffic Count Locations by Sarah T. Bowling and Lisa Aultman-Hall |
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| Table 1 - y-Intercept, R2, and x2 Coefficient |
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| Table 2 - Slope Comparison |
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| Table 3 - Corrected and Uncorrected ADT and DVMT Values (0.2 mile grid-based sample) |
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| Figure 1 - A "Cookie Cutter" Grid on a Network of Roads |
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Figure 2 - Bias Analysis for Pike County (0.2 mile grid) |
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| Figure 3 - Pike County Weights |
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| Paper 5 - Containerized Cargo Shipper's Behavior in China: A Discrete Choice Analysis by Piyush Tiwari, Hidekazu Itoh, and Masayuki Doi |
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| Table 1 - Descriptive Statistics |
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| Table 2 - Estimated Discrete Choice Functions |
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| Table 3 - 3 Distance Elasticity of Port-Shipping Line Market Shares |
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| Table 4 - TEUs per Berth Elasticity of Port-Shipping Line Market Shares |
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| Table 5 - TEUs per Crane Elasticity of Port-Shipping Line Market Shares |
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| Table 6 - Number-of-Routes Elasticity of Port-Shipping Line Market Shares |
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| Table 7 - Ship-Calls Elasticity of Port-Shipping Line Market Shares |
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| Figure 1 - Location of Chinese Ports |
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| Figure 2 - Alternatives in Shippers' Decision Process in China |
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| Guidelines for Manuscript Submission |
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| Back Cover |
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