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Estimating Bicycle Demand of a Small Communityoa mark
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dc.contributor.authorRyu, Seungkyu-
dc.contributor.authorSu, Jacqueline-
dc.contributor.authorChen, Anthony-
dc.contributor.authorChoi, Keechoo-
dc.date.issued2019-06-01-
dc.identifier.issn1976-3808-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/30684-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064551905&origin=inward-
dc.description.abstractCurrently, there is a growing movement in the urban planning and transportation sectors advocating for the creation of sustainable and livable communities. Since these communities focus on the promotion of public health and the protection of environmental resources, it comes to no surprise that cycling is experiencing increasing popularity as an alternative mode of transportation. With anticipated increases in cycling mode share, there is a need to account for cycling in future transportation networks by estimating bicycle demand. Thus, the objective of this paper is to present a procedure for estimating bicycle trips in smaller communities with limited resources. A case study at the Utah State University campus in Logan, Utah is conducted to demonstrate the applicability of the bicycle demand estimation procedure. The case study involves data collection, initial bicycle origin-destination (O-D) estimation using a gravity model, and adjustment of the original bicycle O-D matrix using a path flow estimator with an in-depth analysis into the differences between observed and estimated data.-
dc.description.sponsorshipHong Kong Polytechnic University (Project No. 1-ZE5T), the Transportation Research Center for Livable Communities (TRCLC), the Mountain-Plains Consortium (MPC) sponsored by the U.S. Department of Transportation, the Basic Science Research Program through the National Research Foundation (NRF) of Korea by the Ministry of Science (NRF-2016R1C1B2016254), and ICT & Future Planning (NRF-2010-0029443). These supports are gratefully acknowledged.-
dc.description.sponsorshipThis research was supported by the Research Committee of the-
dc.description.sponsorshipThis research was supported by the Research Committee of the Hong Kong Polytechnic University (Project No. 1-ZE5T), the Transportation Research Center for Livable Communities (TRCLC), the Mountain-Plains Consortium (MPC) sponsored by the U.S. Department of Transportation, the Basic Science Research Program through the National Research Foundation (NRF) of Korea by the Ministry of Science (NRF-2016R1C1B2016254), and ICT & Future Planning (NRF-2010-0029443). These supports are gratefully acknowledged.-
dc.language.isoeng-
dc.publisherSpringer Verlag-
dc.subject.meshEnvironmental resources-
dc.subject.meshPath flow estimators-
dc.subject.meshRoute choice-
dc.subject.meshSmall community-
dc.subject.meshTransportation network-
dc.subject.meshTransportation sector-
dc.subject.meshUniversity campus-
dc.subject.meshUtah state universities-
dc.titleEstimating Bicycle Demand of a Small Community-
dc.typeArticle-
dc.citation.endPage2701-
dc.citation.number6-
dc.citation.startPage2690-
dc.citation.titleKSCE Journal of Civil Engineering-
dc.citation.volume23-
dc.identifier.bibliographicCitationKSCE Journal of Civil Engineering, Vol.23 No.6, pp.2690-2701-
dc.identifier.doi10.1007/s12205-019-0415-5-
dc.identifier.scopusid2-s2.0-85064551905-
dc.identifier.urlhttp://www.springer.com/engineering/journal/12205-
dc.subject.keywordbicycle counts-
dc.subject.keywordbicycle demand-
dc.subject.keywordcyclist route choice-
dc.subject.keywordlivable communities-
dc.subject.keywordpath flow estimator-
dc.subject.keywordsmall community-
dc.subject.keyworduniversity campus-
dc.type.otherArticle-
dc.identifier.pissn1226-7988-
dc.description.isoatrue-
dc.subject.subareaCivil and Structural Engineering-
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