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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| Editorial Board |
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| Contributors |
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| Front Matter |
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| Introduction to the Special Issue on Methodological Issues in
Accessibility Measures with Possible Policy Implications by
Piyushimita (Vonu) Thakuriah |
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Paper 1 - Computational Tools for Measuring Space-Time Accessibility Within Dynamic Flow Transportation Networks by Yi-Hwa Wu and Harvey J. Miller |
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| Figure 1 - Individual's Space-Time Prism (adapted from Miller 1991) |
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| Figure 2 - System Architecture |
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| Figure 3 - Dynamic Congestion Pattern in Salt Lake City,
Interval 1 (Top) and Interval 20 (Bottom) |
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| Figure 4 - Dynamic Potential Path Tree in Salt Lake City, Given 5 Minutes Travel Time |
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| Figure 5 - Dynamic Potential Path Tree in Salt Lake City, Given 15 Minutes Travel Time |
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| Figure 6 - Dynamic Potential Path Tree in Salt Lake City, Given 10 Minutes Travel Time |
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| Figure 7 - Dynamic Potential Path Tree in Salt Lake City, Given 10 Minutes Travel Time |
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| Figure 8 - Dynamic Potential Path Tree in Salt Lake City, Given 10 Minutes Travel Time |
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Paper 2 - Accessibility: Concepts and Applications by Britton Harris |
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| Table 1 - Mapped Hypothetical Distributions of Strata and Totals of Number of Workers (In thousands; components may not sum to totals because of rounding.) |
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| Table 2 - Illustrative Set of Simple Accessibilities: b = 1.0 |
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| Table 3 - Illustrative Computation of Competitive Accessibilities and Average Costs |
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| Table 4 - Correlations Between Pairs of Accessibility Measures, Within Viewpoints, Across Zones |
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Paper 3 - Performance of Accessibility Measures in Europe by Siamak Baradaran and Farideh Ramjerdi |
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| Table 1 - Correlation Table for the Calculated Accessibility Measures |
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| Table 2 - Dispersion and Skewness of Accessibility Measures |
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| Table 3 - Descriptive Statistics for Simple and Window Average Transformed Model for
Swedish Municipalities |
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| Table 4 - Mean Absolute Difference (MAD) Between Accessibility Measures (Normalized) |
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| Table 5 - Dissimilarity Index (DSI) Between Accessibility Measures (Normalized) |
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| Figure 1 - Demonstration of PPS and PPA |
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| Figure 2 - Differences Between Accessibility Measures Using MAD and DSI
Metrics with Respect to Model a1 |
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| Figure 3 - Accessibility Map of Europe Using Model a1 |
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| Figure 4 - Accessibility Map of Europe Using Model a2 |
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| Figure 5 - Accessibility Map of Europe Using Model b2 |
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| Figure 6 - Accessibility Map of Europe Using Model c1 |
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Paper 4 - Accessibility Improvements and Local Employment: An Empirical Analysis by Joseph Berechman and Robert Paaswell |
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| Table 1 - Unemployment Rates in New York's Five Boroughs, 1996-1998 (percent) |
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| Table 2 - A Two-Stage Least Squares Estimation of the Accessibility and Employment Functions |
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| Figure 1 - Location of the Bronx Center |
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| Figure 2 - Employment Status (1990) |
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| Figure A.1 - Structure of Database |
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Paper 5 - Evaluating Neighborhood Accessibility: Possibilities and Practicalities by Susan L. Handy and Kelly J. Clifton |
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| Table 1 - Activity Factors |
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| Table 2 - Transportation Factors by Mode |
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Paper 6 - Path-Based Accessibility by Svante Berglund |
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| Table 1 - Characteristics of the Application Areas |
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| Table 2 - Correlation of Accessibility Scores for Retail Trade in Jämtland |
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| Table 3 - Correlation of Accessibility Scores for Pharmacies in Jämtland |
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| Table 4 - Correlation of Accessibility Scores for Retail Trade in Stockholm |
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| Table 5 - Correlation of Accessibility Scores for Pharmacies in Stockholm |
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| Table 6 - Moran's I for AMs Used by Gender and Education (L = low, I = intermediate, H = high) |
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| Figure 1 - Illustration of the Difference Between Traditional Accessibility Measures (left) and Path-Based Measures (right) |
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| Figure 2 - Application Areas |
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| Figure 3 - Location of Pharmacies and Employment Within Retail Trade in Jämtland County |
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| Figure 4 - Location of Pharmacies and Employment Within Retail Trade in the Stockholm Region |
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| Figure 5 - Access to Pharmacies in the Stockholm Region (unweighted logsum) |
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| Figure 6 - Access to Pharmacies in the Stockholm Region (logsum weighted by travel pattern for women) |
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| Figure 7 - Mobility Pattern: Low Accessibility to Pharmacies (Men With Low Education) (56% commuters) |
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| Figure 8 - Mobility Pattern: High Accessibility to Pharmacies (Men With High Education) (85% commuters) |
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| Guidelines for Manuscript Submission |
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| Reviewers for Volume 4 |
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| Index to Volume 4 |
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| Back Cover |
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