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dc.contributor.authorGao Jian
dc.contributor.authorZhang Fan
dc.contributor.authorSun Ling
dc.date.accessioned2017-05-08T22:33:49Z
dc.date.available2017-05-08T22:33:49Z
dc.date.copyrightDecember 2015
dc.date.issued2015
dc.identifier.other49745093.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/82705
dc.description.abstractThis second part of the study is a followup to Part I. In addition to the Asset Condition Index (ACI) establishments and statistical model estimates of the first part, this further study analyzed several typical asset improvement methods, which placed priority on safety. This study used data that were identical to those in the previous study, i.e., the one-mile-segment data set for all state primary roads from 2004 to 2009 integrated using geographic information system (GIS) tools. With the estimated ACI and the separate models, this study focused on developing a methodology to prioritize safety improvements based on asset conditions. Results indicate that minor rehabilitation and durable material marking have the highest B/C ratio when a one-year analysis period is considered. To expand the analysis for 5 years, a decision-making matrix of ACI ranges versus treatment alternatives was developed.
dc.publisherAmerican Society of Civil Engineers
dc.titleA Study on the Relationship between Asset Condition and Safety (Part II)
dc.typeJournal Paper
dc.journal.volume9
dc.journal.issue4
dc.journal.titleJournal of Highway and Transportation Research and Development (English Edition)
dc.identifier.doi10.1061/JHTRCQ.0000476
dc.treeJournal of Highway and Transportation Research and Development (English Edition):;2015:;Volume ( 009 ):;issue: 004
dc.contenttypeFulltext


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