Sample-Based Estimation of Bicycle Miles of Travel (BMT)

Persistent link to this item

Statistics
View Statistics

Authors

Davis, Gary A.
Wicklatz, Trina

Published Date

Publisher

Type

Abstract

This project provides a statistically defensible estimate of bicycle-miles of travel (BMT) for at a least substantial portion of the Twin Cities region and assesses the feasibility of monitoring bicycle volumes using sampling methods similar to those used to monitor motor vehicle traffic. Researchers used an ArcView database of the Twin Cities street system for the initial sampling frame and extended the database by manually adding information about average annual daily traffic volumes and about on- and off-road bicycle facilities. A stratified random sample of roadways links in Hennepin, Ramsey, and Dakota counties was drawn, and during the months of May through June and August through October 1998, the daytime bicycle volume for one day at each sampled site was obtained using time-lapse video. Researchers then used Cochrane's combined estimator to compute an estimate of average daytime BMT for the study area. Keywords-bicycle monitoring, bicycle miles of travel, BMT, GIS, bicycle volumes, bicycle traffic, bike lane

Keywords

Bicycle monitoring
Bicycle miles of travel
Geographic information systems
Bicycle volumes
Bicycle traffic
Bicycle lanes

Description

Related to

item.page.replaces

License

Series/Report Number

MnDOT 2001-23

Funding Information

Minnesota Department of Transportation

item.page.isbn

DOI identifier

Previously Published Citation

Other identifiers

Suggested Citation

Davis, Gary A.; Wicklatz, Trina. (2001). Sample-Based Estimation of Bicycle Miles of Travel (BMT). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/742.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.