Effects of Pavement Spatial Variability on Contractor’s Management Strategies

Kim, Seok; Damnjanović, Ivan; Gunby, Molly

doi:10.1061/(asce)is.1943-555x.0000014

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Articles, which cite in the Pavement Management Path, focus on ways of tailoring decisionmaking and support tools such that they are fit-for-use in agencies, such as tailoring prediction models (Kim, Damnjanovic, & Gunby, 2010) and tailoring models to the preferences of an agency (Jorge & Ferreira, 2012). Some articles that cite citations in the Water and Utility Infrastructure Path often indicate the issue that asset management tools appear unfit for the practices of water infrastructure agencies, with agencies feeling that tools are too sophisticated for practical use (Alegre, 2010;Frenette, Bernard, Putallaz, & Gérard, 2010) or too expensive for their size (Osman, Atef, & Moselhi, 2012).…”

Section: Research Orientations Among Retrieved Articlesmentioning

confidence: 99%

Research orientations towards the ‘management’ of infrastructure assets: an intellectual structure approach

Schraven

Hartmann

Dewulf

2013

Structure and Infrastructure Engineering

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In recent decades, research on the management of infrastructure assets has increased steadily. However, there are concerns raised about the contribution of studies to a coherent body of knowledge. There is a call for a more structured understanding of the knowledge that is emerging around the management of infrastructure assets. This paper attempts to answer this call through an empirical study based on the reference lists of over 8200 articles that present their study relevant to the management of infrastructure assets. In so doing, we apply recognised techniques from bibliometric and social network analyses to visualise and identify major and minor topics, where researchers have oriented and contributed. We find that managing infrastructure assets traditionally was object-oriented, such as pavements, bridges, water and utility networks, and that attention is only now emerging on the life-cycle decision-making and organisational aspects, although the latter remains weakly linked with technical aspects. We conclude with shared research orientations in 'managing' infrastructure assets.

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Section: Research Orientations Among Retrieved Articlesmentioning

confidence: 99%

Research orientations towards the ‘management’ of infrastructure assets: an intellectual structure approach

Schraven

Hartmann

Dewulf

2013

Structure and Infrastructure Engineering

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“…Spatial data analysis has been used widely in various areas of civil engineering, such as construction engineering and management (Lee and Adams, 2004; Cheng et al, 2005; Jie and Caldas, 2008; Jia and Wang, 2010), transportation engineering (Li et al, 2007; Vlahogianni et al, 2007; Wang and Kockelman, 2009), water pipeline condition assessment (Adachi and Ellingwood, 2009; de Oliveira et al, 2011), and hydrology (Olivera and Maidment, 1999; Olivera, 2001; Olivera et al, 2006; Cho and Olivera, 2009). In PMS, spatial data analysis has been used to cluster pavement sections based on condition uniformity for project segmentation (Yang et al, 2009) and contracting (Kim et al, 2010) purposes, and for identifying uniform regions for performance modeling purposes (Mishalani and Koutsopoulos, 2002). Many agencies use GIS for generating maps and reports and linking multiple data layers.…”

Section: Literature Reviewmentioning

confidence: 99%

A Spatial‐Bayesian Technique for Imputing Pavement Network Repair Data

Saliminejad¹,

Gharaibeh²

2012

Computer aided Civil Eng

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Pavement construction and repair history is necessary for several pavement management functions such as developing pavement condition prediction models and developing maintenance and rehabilitation (M&R) trigger values based on past repair frequencies.It is often difficult to integrate M&R data with condition data since these data are often stored in disparate heterogeneous databases. This article provides a computational technique for estimating construction and M&R history of a pavement network from the spatiotemporal patterns of its condition data. The technique is founded on Bayesian and spatial statistics and searches pavement condition data in groups of adjacent pavement sections for evidence of repair. The developed technique was applied to a pavement network in Texas and has been found to have a 74% precision and a 95% accuracy in estimating repair history data.

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“…Articles, citing in the Pavement Management path, focus on ways of tailoring decision making and support tools such that they are fit for use in agencies, like tailoring prediction models (Kim et al, 2010) and tailoring models to the preferences of an agency (Ferreira et al, 2011;Jorge and Ferreira, 2012). Some articles that cite citations in the Water and Utility Infrastructure path often indicate the issue that asset management tools appear unfit for the practices of water infrastructure agencies, with agencies feeling that tools are too sophisticated for practical use (Alegre, 2010;Frenette et al 2010) or too expensive for their size (Osman et al, 2012).…”

Section: Research Orientations Among Retrieved Articlesmentioning

confidence: 99%

Implementing asset management inside infrastructure agencies

Schraven¹

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Effects of Pavement Spatial Variability on Contractor’s Management Strategies

Cited by 7 publications

References 20 publications

Research orientations towards the ‘management’ of infrastructure assets: an intellectual structure approach

Research orientations towards the ‘management’ of infrastructure assets: an intellectual structure approach

A Spatial‐Bayesian Technique for Imputing Pavement Network Repair Data

Implementing asset management inside infrastructure agencies

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