Investigation of Effects of Underreporting Crash Data on Three Commonly Used Traffic Crash Severity Models

By Fan Ye, D. Lord. 2011

148 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health, Safety, Risk, Reliability and Quality, Transportation

View Paper: https://www.semanticscholar.org/paper/3644392c6038146f0c01842b9d884c8513687f5f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Public Health, Environmental and Occupational Health

1. Fred L. Mannering
2. Chandra R. Bhat
3. K. Abay
4. Rajesh Paleti
5. D. Lord
6. Ali Behnood

In Safety, Risk, Reliability and Quality

1. Chandra R. Bhat
2. Fred L. Mannering
3. Rajesh Paleti
4. D. Lord
5. K. Abay
6. Mohammed A. Quddus
7. Peter T. Savolainen
8. Panagiotis Ch. Anastasopoulos

In Transportation

1. Fred L. Mannering
2. Rajesh Paleti
3. K. Abay
4. Chandra R. Bhat
5. D. Lord
6. Mohammed A. Quddus
7. Peter T. Savolainen
8. Naveen Eluru

Citations in the corpus

• Joint Analysis of Injury Severity of Drivers in Two-Vehicle Crashes Accommodating Seat Belt Use Endogeneity (2013, background): “…not recognizing the ordinal nature of injury severity levels, provide additional flexibility in capturing variable effects and are also less vulnerable to parameter inconsistency problems caused by varying under-reporting rates (across injury severity levels) in the data (see Ye and Lord, 2011).”
• The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (2011, background): “…injury, disabling injury and fatality, so the noinjury outcome will never exhibit a value of 1 for this variable (here a change in the dependent 6 Ye and Lord (2011b) provide some guidance on the effects of sample size on parameter estimates for various methodological approaches (ordered probit,…”