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dc.contributor.authorMiah, Md Mintu
dc.contributor.authorGriswold, Julia
dc.contributor.authorProulx, Frank
dc.contributor.authorBigham, John
dc.contributor.authorBanerjee, Ipsita
dc.contributor.authorGrembek, Offer
dc.date.accessioned2026-08-20T20:52:44Z
dc.date.available2026-08-20T20:52:44Z
dc.date.copyright2025/08/30
dc.date.issued2025
dc.identifier.otherJTEPBS.TEENG-8814.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313610
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleMethodology of Large-Scale Annual Average Daily Bicycle Traffic Estimation
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue11
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-8814
dc.journal.fristpage04025088-1
dc.journal.lastpage04025088-20
dc.page20
dc.treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 011
dc.contenttypeFulltext


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