ACCOUNTING FOR SERIAL CORRELATION IN COUNT MODELS OF TRAFFIC SAFETY

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概要

• 論文の詳細を見る

• This research explores the impact of inflated variances on statistical significance and identification of variables correlated with median crossover accident frequencies. In roadway and accident data that is comprised of cross-sectional panels, serial-correlation effects across time arise due to shared unobserved effects through random error terms. We use an empirical technique to adjust for downward bias in standard errors in count models of traffic accidents, so that proper identification of variables is ensured. The identified model structures reflect the impact of inflated significance values, and provide specifications that include truly significant geometric, traffic and environmental effects contributing to median crossover accidents. It should be noted that the results from this study are localized and hence limited to inferences from the median crossover context in Washington State in the United States. Further study is required to ensure the transferability of these findings to other contexts.

• Eastern Asia Society for Transportation Studiesの論文

著者

• SITTIKARIYA Sittipan

  Department of Civil and Environmental Engineering Pennsylvania State University

• SHYU Ming-Bang

  Department of Civil and Environmental Engineering Pennsylvania State University

• SHANKAR Venky

  Department of Civil and Environmental Engineering Pennsylvania State University

• CHAYANAN Songrit

  DKS Associates, Inc.

関連論文

• SOME INSIGHTS ON ROADWAY INFRASTRUCTURE DESIGN FOR SAFE ELDERLY PEDESTRIAN TRAVEL
• ACCOUNTING FOR SERIAL CORRELATION IN COUNT MODELS OF TRAFFIC SAFETY

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