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Exploratory state-level empirical assessment of pavement performance

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dc.contributor.author Anastasopoulos, PC en
dc.contributor.author Labi, S en
dc.contributor.author Karlaftis, MG en
dc.contributor.author Mannering, FL en
dc.date.accessioned 2014-03-01T02:08:59Z
dc.date.available 2014-03-01T02:08:59Z
dc.date.issued 2012 en
dc.identifier.issn 10760342 en
dc.identifier.uri http://hdl.handle.net/123456789/29763
dc.subject Pavement condition en
dc.subject Pavement management en
dc.subject Preservation en
dc.subject Statistical models en
dc.subject Surface roughness en
dc.subject United States en
dc.subject.other Empirical assessment en
dc.subject.other Federal Highway Administration en
dc.subject.other Functional classification en
dc.subject.other Geographic location en
dc.subject.other International roughness index en
dc.subject.other Mixed logit en
dc.subject.other Pavement condition en
dc.subject.other Pavement management en
dc.subject.other Pavement performance en
dc.subject.other Pavement preservation en
dc.subject.other Pavement roughness en
dc.subject.other Random variation en
dc.subject.other Statistical models en
dc.subject.other Time-periods en
dc.subject.other United States en
dc.subject.other Climate models en
dc.subject.other Geology en
dc.subject.other Highway administration en
dc.subject.other Surface roughness en
dc.subject.other Wood preservation en
dc.subject.other Pavements en
dc.subject.other empirical analysis en
dc.subject.other modeling en
dc.subject.other pavement en
dc.subject.other performance assessment en
dc.subject.other statistical analysis en
dc.subject.other surface roughness en
dc.subject.other United States en
dc.title Exploratory state-level empirical assessment of pavement performance en
heal.type journalArticle en
heal.identifier.primary 10.1061/(ASCE)IS.1943-555X.0000057 en
heal.identifier.secondary http://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000057 en
heal.publicationDate 2012 en
heal.abstract This study uses aggregate state-level data from 1999 to 2006 in the United States to examine the relationships among pavement performance (pavement roughness) and preservation expenditure, dominant surface geology, and climate. To account for possible random variations in parameters across geographic locations and time periods, a random-parameters logit (mixed logit) model was used. The analysis was carried out separately for roads in different functional classifications and considered the effect that a variety of variables had on the proportion of pavements in each state that are in one of the four International Roughness Index categories (excellent, good, fair, poor) defined by the Federal Highway Administration. The results of the analysis showed the extent to which increased pavement preservation spending yields increased pavement performance and the nature of this relationship for different base pavement-performance conditions and different regions of climate and surface geology. © 2011 American Society of Civil Engineers. en
heal.journalName Journal of Infrastructure Systems en
dc.identifier.doi 10.1061/(ASCE)IS.1943-555X.0000057 en
dc.identifier.volume 17 en
dc.identifier.issue 4 en
dc.identifier.spage 200 en
dc.identifier.epage 215 en


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