NOTE: 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.
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Editorial Board |
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Contributors |
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Front Matter |
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Introduction to the Special issue on the 2001 National Household Travel Survey |
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Figure 1 - Concerns about the Quality of Transportation Services: 2001 |
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Figure 2 - Percentages of Travelers Indicating a Significant Transportation Problem |
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Figure 3 - Minutes Spent Driving per Day |
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Paper 1 - Assessment of 2001 New York State NHTS Add-On Data Using Empirical and Auditable Data Sources by Nathan Erlbaum |
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Table 1 - Total Travel by Residents, Business, and Vehicles |
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Table 2 - Comparison of Survey and MTA Estimates of Transit Trips |
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Table 3 - Comparison of Survey Estimates for Subway Ridership with Actual System Statistics |
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Table 4 - Census Estimate of Workers and Worker Imputation |
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Table 5 - Census and NHTS Estimates of Workers |
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Table 6 - NHTS Worker Question Categories |
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Table 7 - Census and "Question-Equivalent" NHTS Workers |
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Table 8 - New York State DMV-Licensed Drivers vs. NHTS Drivers, by Gender |
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Table 9 - New York State DMV Registrations vs. Census and NHTS Vehicles Available in Households |
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Figure 1 - Monthly Vehicle-Miles of Travel (VMT) Estimate |
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Figure 2 - Temporal Distribution of Monthly Vehicle-Miles of Travel (MVMT) |
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Figure 3 - Average 2001/2002 and 1995/1996 Statewide Vehicle-Miles of Travel (VMT) Temporal Distribution |
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Figure 4 - Survey of Statewide Vehicle-Miles of Travel (VMT) |
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Figure 5 - Heating Degree Days |
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Figure 6 - Population Weighted Snowfall Adjusted for Impact on Propensity to Travel |
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Figure 7 - Understanding Main Mode and Access and Egress Mode Change Relationships with Respect to Access and Egress 1-5 Coding |
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Paper 2 - Bayesian Approaches to Learning from Data: Using NHTS Data for the Analysis of Land Use and Travel Behavior by Marco G. Scuderi and Kelly J. Clifton |
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Table 1 - Number of Directed Acyclic Graphs (DAGs) as Function of the Number of Nodes (G) |
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Table 2 - Variable List |
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Table 3 - Summary of Model Runs |
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Table 4 - A Sample Conditional Probability Table (Version 1) |
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Table 5 - A Sample Conditional Probability Table (Version 2) |
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Table 6 - A Sample Conditional Probability Table (Version 3) |
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Figure 1 - Serial Connections (A), Diverging Connections (B), Feedback Loop (Cyclic Graph) |
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Figure 2 - Model Runs at the Tract and Zip Code Level |
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Figure 3 - Decision Trees and Details of Probabilities of Mode Choice as a Function of Road Density, Income, and Percentage of Commercial Uses |
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Paper 3 - A Closer Look at Public Transportation Mode Share Trends by Steven E. Polzin and Xuehao Chu |
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Table 1 - Summary of NHTS 2001 Mode Share Adjustments |
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Table 2 - Comparisons of Various Survey Estimates of Public Transportation Mode Share |
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Table 3 - Omnibus Household Survey Transit Use Results |
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Table 4 - Work Travel Usual vs. Actual Mode Choice Percentages |
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Figure 1 - Transit Ridership Trends |
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Figure 2 - National VMT Trends |
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Figure 3 - Rates of Change in Transit Ridership and Vehicle-Miles of Travel (VMT) |
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Figure 4 - Person-Miles of Travel (PMT) Trends for Vehicles and Public Transit |
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Figure 5 - PMT-Based Transit Mode Share |
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Figure 6 - Transit Mode Share TrendsSurvey Data |
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Paper 4 - Built Environment and Nonmotorized Travel: Evidence from Baltimore City Using the NHTS by Felipe Targe and Kelly J. Clifton |
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Table 1 - Data Description and Summary Statistics |
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Table 2 - Estimated Poisson Models for Number of Walking Trips and Estimated Ordinary Least Squares (OLS) Model for Share of Walking Trips |
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Table 3 - Marginal Effects for Predicted Probabilities of Poisson Model 3 |
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Figure 1 - Surveyed Households in the 2001 NHTS Baltimore Add-On Sample |
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Figure 2 - Frequency of Walking Trips on the Reported Day of Travel |
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Figure 3 - Predicted Probabilities for Frequency of Walking Trips to Changes in Street Network Connectivity |
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Figure 4 - Predicted Probabilities for Frequency of Walking Trips to Changes in Land-Use Mix Diversity |
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Paper 5 - Using Bayesian Updating to Enhance 2001 NHTS Kentucky Sample Data for Travel Demand Modelling by Bing Mei, Thomas A. Cooney, Niels R. Bostrom |
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Table 1 - Kentucky Add-On Sample Allocation |
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Table 2 - All-Purpose Average Household Person-Trip Rates |
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Table 3 - Average Household Person Trip Rates by Purpose (All Area Types) |
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Table 4 - Average Household Person Trip Rates by Purpose (Urbanized Area) |
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Table 5 - Average Household Person Trip Rates by Purpose (Urban Cluster) |
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Table 6 - Average Household Person Trip Rates by Purpose (Rural Area) |
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Table 7 - Average Trip Lengths by Trip Purpose |
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Table 8 - Add-On Sample Average Person Trip Rates by Trip Purpose by Area Type |
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Table 9 - Add-On Sample Average Trip Lengths by Tryp Purpose (in minutes) |
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Table 10 - Comparison of Updated and Observed Trip Rates for Urban Clusters |
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Table 11 - Comparison of Updated and Observed Trip Rates for Rural Areas |
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Table 12 - Comparison of Updated and Observed Average Trip Lengths |
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Figure 1 - Kentucky Add-On Sample Locations |
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Paper 6 - Using National Data to Simulate Metropolitan Area Household Travel Data by Peter R. Stopher, Stephen P. Greaves, and Min Xu |
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Table 1 - Categories Used for Selected Trip Purpose Distributions |
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Table 2 - Categorization Scheme for Travel Mode Simulation (in percent) |
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Table 3 - O'Fallon and Sullivan's Classification of Tours |
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Table 4 - Proposed Tour Classification for Simulation |
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Table 5 - Count of Tours from NHTS by Simplified Types |
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Figure 1 - Overview of the Approach |
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Figure 2 - Distributions for Simulating Home-Work Trips |
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Figure 3 - Distributions for Simulating Mode of Travel for Home-Work Trips |
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Figure 4 - Distributions for Simulating Mode Using an Updated Sample of 300 Households (Sydney) |
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Paper 7 - Travel Surveys: Methodological and Technology-Related Considerations by Joy Sharp and Elaine Murakami |
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Table 1 - Comparison of Four Designs for Passenger Travel Surveys |
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Table 2 - Alternative Sample Frame Designs |
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Table 3 - Description and Comparison of Data-Collection Methodologies |
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Reviewers for 2005 |
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Index to Volume 8 |
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Back Cover |
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