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contributor authorMiah, Md Mintu
contributor authorGriswold, Julia
contributor authorProulx, Frank
contributor authorBigham, John
contributor authorBanerjee, Ipsita
contributor authorGrembek, Offer
date accessioned2026-08-20T20:52:44Z
date available2026-08-20T20:52:44Z
date copyright2025/08/30
date issued2025
identifier otherJTEPBS.TEENG-8814.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313610
description abstractAbstractLarge-scale bicycle network design, safety, and crash estimates largely depend on network-wide bicycling volume estimation. Previous studies developed direct demand models on a smaller scale (e.g., city or county) where bicycle count and ...Practical ApplicationsAgencies often need to estimate bicycle volumes at the link level across entire networks for planning, safety, and design purposes. This study uses expansion factors to introduce a method for converting short-term site volume data ...
publisherAmerican Society of Civil Engineers
titleMethodology of Large-Scale Annual Average Daily Bicycle Traffic Estimation
typeJournal Article
journal volume151
journal issue11
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-8814
journal fristpage04025088-1
journal lastpage04025088-20
page20
treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 011
contenttypeFulltext


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