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Journal of Transportation and StatisticsVolume 4 Number 2/3

Journal of Transportation and Statistics - Volume 4, Number 2/3

Journal of Transportation and Statistics
Volume 4 Number 2/3

September/December 2001
ISSN 1094-8848

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.

Table of Contents File Formats
Entire Report
Editorial Board
Contributors
Front Matter
Introduction to the Special Issue on Methodological Issues in Accessibility Measures with Possible Policy Implications by Piyushimita (Vonu) Thakuriah
Paper 1 - Computational Tools for Measuring Space-Time Accessibility Within Dynamic Flow Transportation Networks by Yi-Hwa Wu and Harvey J. Miller
Figure 1 - Individual's Space-Time Prism (adapted from Miller 1991)
Figure 2 - System Architecture
Figure 3 - Dynamic Congestion Pattern in Salt Lake City, Interval 1 (Top) and Interval 20 (Bottom)
Figure 4 - Dynamic Potential Path Tree in Salt Lake City, Given 5 Minutes Travel Time
Figure 5 - Dynamic Potential Path Tree in Salt Lake City, Given 15 Minutes Travel Time
Figure 6 - Dynamic Potential Path Tree in Salt Lake City, Given 10 Minutes Travel Time
Figure 7 - Dynamic Potential Path Tree in Salt Lake City, Given 10 Minutes Travel Time
Figure 8 - Dynamic Potential Path Tree in Salt Lake City, Given 10 Minutes Travel Time
Paper 2 - Accessibility: Concepts and Applications by Britton Harris
Table 1 - Mapped Hypothetical Distributions of Strata and Totals of Number of Workers (In thousands; components may not sum to totals because of rounding.)
Table 2 - Illustrative Set of Simple Accessibilities: b = 1.0
Table 3 - Illustrative Computation of Competitive Accessibilities and Average Costs
Table 4 - Correlations Between Pairs of Accessibility Measures, Within Viewpoints, Across Zones
Paper 3 - Performance of Accessibility Measures in Europe by Siamak Baradaran and Farideh Ramjerdi
Table 1 - Correlation Table for the Calculated Accessibility Measures
Table 2 - Dispersion and Skewness of Accessibility Measures
Table 3 - Descriptive Statistics for Simple and Window Average Transformed Model for Swedish Municipalities
Table 4 - Mean Absolute Difference (MAD) Between Accessibility Measures (Normalized)
Table 5 - Dissimilarity Index (DSI) Between Accessibility Measures (Normalized)
Figure 1 - Demonstration of PPS and PPA
Figure 2 - Differences Between Accessibility Measures Using MAD and DSI Metrics with Respect to Model a1
Figure 3 - Accessibility Map of Europe Using Model a1
Figure 4 - Accessibility Map of Europe Using Model a2
Figure 5 - Accessibility Map of Europe Using Model b2
Figure 6 - Accessibility Map of Europe Using Model c1
Paper 4 - Accessibility Improvements and Local Employment: An Empirical Analysis by Joseph Berechman and Robert Paaswell
Table 1 - Unemployment Rates in New York's Five Boroughs, 1996-1998 (percent)
Table 2 - A Two-Stage Least Squares Estimation of the Accessibility and Employment Functions
Figure 1 - Location of the Bronx Center
Figure 2 - Employment Status (1990)
Figure A.1 - Structure of Database
Paper 5 - Evaluating Neighborhood Accessibility: Possibilities and Practicalities by Susan L. Handy and Kelly J. Clifton
Table 1 - Activity Factors
Table 2 - Transportation Factors by Mode
Paper 6 - Path-Based Accessibility by Svante Berglund
Table 1 - Characteristics of the Application Areas
Table 2 - Correlation of Accessibility Scores for Retail Trade in Jämtland
Table 3 - Correlation of Accessibility Scores for Pharmacies in Jämtland
Table 4 - Correlation of Accessibility Scores for Retail Trade in Stockholm
Table 5 - Correlation of Accessibility Scores for Pharmacies in Stockholm
Table 6 - Moran's I for AMs Used by Gender and Education (L = low, I = intermediate, H = high)
Figure 1 - Illustration of the Difference Between Traditional Accessibility Measures (left) and Path-Based Measures (right)
Figure 2 - Application Areas
Figure 3 - Location of Pharmacies and Employment Within Retail Trade in Jämtland County
Figure 4 - Location of Pharmacies and Employment Within Retail Trade in the Stockholm Region
Figure 5 - Access to Pharmacies in the Stockholm Region (unweighted logsum)
Figure 6 - Access to Pharmacies in the Stockholm Region (logsum weighted by travel pattern for women)
Figure 7 - Mobility Pattern: Low Accessibility to Pharmacies (Men With Low Education) (56% commuters)
Figure 8 - Mobility Pattern: High Accessibility to Pharmacies (Men With High Education) (85% commuters)
Guidelines for Manuscript Submission
Reviewers for Volume 4
Index to Volume 4
Back Cover
Updated: Saturday, May 20, 2017