Table 1 - Evaluation of 90% Prediction Intervals: First Factor Group

NOTE: Bolding indicates ATRs that have counts falling outside the credible bounds.

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Table 3 - Evaluation of 90% Prediction Intervals: Third Factor Group

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Volume 4 Number 1 Editorial Board

David Banks, Editor-in-Chief Susan Lapham, Associate Editor John V. Wells, Associate Editor Deborah Moore, Managing Editor Martha Courtney, Editor Marsha Fenn, Project...

Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes - Discussion 1

Johannes Ledolter* University of Iowa

I congratulate the authors for a very careful, statistically sophisticated, and impartial study on the impact of recent speed-limit changes on fatal...

Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes - Discussion 2

Michael D. Fontaine Tongbin Teresa Qu Texas Transportation Institute

Karl Zimmerman Clifford H. Spiegelman* Texas A&M University

The Balkin/Ord paper has addressed the timely and...

Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes - Authors' Rejoinder

Sandy Balkin Keith Ord

First, we would like to thank Johannes Ledolter, Andrew Harvey, and the team of Michael Fontaine, Tongbin Qu, Clifford Speigelman, and Karl Zimmerman (FQSZ) for...

Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes - Discussion 3

Andrew Harvey* Cambridge University

The paper by Balkin and Ord uses stochastic rather than deterministic trends to model the series on crashes. This is important since deterministic trends...

Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes

Sandy Balkin Informed Analytics Group

J. Keith Ord*Georgetown University

This study investigates the relationship between speed-limit increases and increases in the number of fatal crashes on...

Figure 2 - Aggregate Fatal Crashes: Rural, Urban, and All

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Table 2 - Significant Changes in Predicted Accident Rates Attributed to the Speed-Limit Increases on Urban Interstates

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