TRB Pubsindex
Text Size:

Title:

PREDICTING VEHICLE OCCUPANCIES FROM ACCIDENT DATA: AN ACCIDENT SEVERITY APPROACH

Accession Number:

00756143

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Find a library where document is available


Order URL: http://worldcat.org/isbn/0309065070

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
Washington, DC 20001 United States

Authors:

Chang, L-Y
MANNERING, F L

Pagination:

p. 93-104

Publication Date:

1998

Serial:

Transportation Research Record

Issue Number: 1635
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309065070

Features:

Figures (1) ; References (11) ; Tables (6)

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: