Factors affecting vehicle occupancy measurement

Ned Levine and Martin Wachs

Transportation Research Part A: Policy and Practice, 1998, vol. 32, issue 3, 215-229

Abstract: Factors affecting vehicle occupancy measurement were examined with the aim of improving state and local vehicle occupancy monitoring programs. 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 found that AVO was higher in the afternoons, on Saturdays, and on HOV lanes. Inconsistent differences were found for the other variables, though there were considerable locational variations. Current vehicle occupancy monitoring programs do not generally take these factors into account and, most likely, produce biased estimates of AVO. Suggestions are made for using these factors in sample designs to represent regional and corridor-level vehicle occupancy levels.

Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965-8564(97)00011-6
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:32:y:1998:i:3:p:215-229

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().