|
Title: PREDICTING VEHICLE OCCUPANCIES FROM ACCIDENT DATA: AN ACCIDENT SEVERITY APPROACH
Accession Number: 00756143
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Past studies have shown that using accident records to estimate vehicle occupancies (i.e., using the observed occupancies of vehicles involved in accidents) results in an overestimation of occupancy. There are a number of possible reasons for this, one of which is that multioccupant accidents are more likely to be reported (i.e., appear in an accident database) because, with more people, the possibility of an injury is greater. The interaction between vehicle occupancy and accident severity is used to develop a method to correct for the occupancy overestimation bias inherent in accident data. A nested logit model of occupancy and severity is estimated, and a correction technique is applied to eliminate biases. The results show that the proposed approach gives accurate predictions of vehicle occupancies using standard accident data.
Supplemental Notes: This paper appears in Transportation Research Record No. 1635, Safety Analysis Related to Highway Design, Crash Costs, and Traffic Records Systems; Methodologies for Evaluating Safety Improvements.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Chang, L-YMANNERING, F LPagination: p. 93-104
Publication Date: 1998
Serial: ISBN: 0309065070
Features: Figures
(1)
; References
(11)
; Tables
(6)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Safety and Human Factors; I81: Accident Statistics
Files: TRIS, TRB, ATRI
Created Date: Nov 10 1998 12:00AM
More Articles from this Serial Issue:
|