Factors affecting vehicle occupancy measurement were examined with the
aim of improving state and local vehicle occupancy monitoring program
s. A comparison was conducted of five data sets looking at the effects
on average vehicle occupancy (AVO) of time of day, day of week, road
types, HOV lanes, locational differences, and traffic volume. It was f
ound that AVO was higher in the afternoons, on Saturdays, and on HOV l
anes. Inconsistent differences were found for the other variables, tho
ugh there were considerable locational variations. Current vehicle occ
upancy monitoring programs do not generally take these factors into ac
count and, most likely, produce biased estimates of AVO. Suggestions a
re made for using these factors in sample designs to represent regiona
l and corridor-level vehicle occupancy levels. (C) 1998 Elsevier Scien
ce Ltd. All rights reserved.