Civil Integrated Management: Empirical study of digital practices in highway project delivery and asset management

Sankaran, Bharathwaj; Nevett, Guillermo; O’Brien, William J.; Goodrum, Paul M.; Johnson, Joshua A.

doi:10.1016/j.autcon.2017.12.006

Cited by 25 publications

(20 citation statements)

References 16 publications

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“…While modelling and visualisation are considered as one of the most comprehensible forms of digital engineering, it is critical to understand the role of the computable data behind the model as well. Sankaran et al [37] provide evidence for using CIM for 3D design and for terrain modelling and advance visualisation of structures. The implementation of CIM is influenced by factors including contract specifications, project delivery, and budget.…”

Section: Data Management Modelling/visualizationmentioning

confidence: 99%

Exploring the Role of Digital Infrastructure Asset Management Tools for Resilient Linear Infrastructure Outcomes in Cities and Towns: A Systematic Literature Review

et al. 2021

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Linear infrastructure such as roads, railways, bridges and tunnels enable critical functionality within and between metropolitan and regional cities and towns, facilitating the movement of goods and services, as part of vibrant, thriving economies. However, these asset types are typically challenged by costly asset management schedules and continually eroding maintenance and refurbishment budgets. These challenges are compounded by the increasing frequency and intensity of disruptive events such as fire, floods, and storm-surge that can damage or destroy property. The United Nations Sustainable Development Goal 9 (SDG-9) highlights the urgent need for enabling evidence-based decision making for infrastructure asset management (IAM). Around the world, digital engineering (DE) efforts are underway to streamline the capture, processing, and visualization of data for IAM information requirements, towards timely and evidence-based decision support that enables resilient infrastructure outcomes. However, there is still limited understanding about which IAM information can be digitized and the types of tools that can be used. This study sought to address this knowledge gap, through reviewing the extent of available and emerging linear infrastructure related DE technologies and their IAM information requirements. A systematic literature review elicited 101 relevant conceptual and empirical papers, which were subsequently evaluated with regard to the extent and characteristics of digital infrastructure asset management tools. Findings are discussed using three themes that emerged from the analysis: (1) DE tools and their IAM asset information requirements; (2) Interoperability and integration of DE tools across IAM platforms; and (3) Application of DE tools to enable resilient linear infrastructure outcomes. A ‘Digital Technology Integration Matrix’ is presented as an immediately useful summary for government and industry decision-makers, particularly in the field of disaster management preparedness and recovery. The Matrix communicates the synthesis of tools and likely end-users, to support effective data gathering and processing towards more timely and cost-effective infrastructure asset management. The authors conclude with a research roadmap for academics, including recommendations for future investigation.

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Section: Data Management Modelling/visualizationmentioning

confidence: 99%

Exploring the Role of Digital Infrastructure Asset Management Tools for Resilient Linear Infrastructure Outcomes in Cities and Towns: A Systematic Literature Review

et al. 2021

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“…Integration and decision making: Considering transportation infrastructure, Aziz et al (2017) proposed the use of an open-source cloud computing platform, Hadoop, to allow for continuous flow of data throughout an asset's life cycle; while, Sankaran et al (2018) considered the potential benefit of using Civil Integrated Management (CIM), a set of practices and tools that can facilitate the workflow of highway project delivery and management. Other authors presented frameworks for utility infrastructure management: Edmondson et al (2018) developed a prototype to aid prediction and decision making about a sewerage network; Lee et al (2018) presented a framework, based on the integration of BIM/GIS, to improve performance of current maintenance management system; Love et al (2018) developed a System Information Model (SIM), in which each component has geometric data (3D model), non-geometric data (type and functionality) and geographic data.…”

Section: 42mentioning

confidence: 99%

Bim and Gis Integration for Infrastructure Asset Management: A Bibliometric Analysis

Garramone

Moretti

Scaioni

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The integration of Building Information Modelling (BIM) and Geographical Information Systems (GIS) is gaining momentum in digital built Asset Management (AM), and has the potential to improve information management operations and provide advantages in process control and delivery of quality AM services, along with underlying data management benefits through entire life cycle of an asset. Work has been carried out relating GeoBIM/AM to buildings as well as infrastructure assets, where the potential financial savings are extensive. While information form BIM maybe be sufficient for building-AM; for infrastructure AM a combination of GIS and BIM is required. Scientific literature relating to this topic has been growing in recent years and has now reached a point where a systematic analysis of current and potential uses of GeoBIM in AM for Infrastructure is possible. Three specific areas form part of the analysis – a review of BIM and Infrastructure AM and GIS and Infrastructure AM leads to a better understanding of current practice. Combining the two, a review of GeoBIM and Infrastructure AM allows the benefits of, and issues relating to, GeoBIM to be clearly identified, both at technical and operational levels. A set of 54 journal articles was selected for in-depth contents analysis according to the AM function addressed and the managed asset class. The analysis enabled the identification of three categories of issues and opportunities: data management, interoperability and integration and AM process and service management. The identified knowledge gaps, in turn, underpin problem definition for the next phases of research into GeoBIM for infrastructure AM.

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“…However, emergent technologies, such as building information modeling, supports asset managers by complementing their strategic and tactical skills with the capacities required for data management (Roberts et al , 2018). Moreover, built data and drawings of properties and physical assets can be updated to digital archives of information to facilitate asset management and future development (Sankaran et al , 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Performance of physical asset management using the analytic hierarchy process

Marzooqi

Hussain

Ahmad

2019

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Purpose The purpose of this paper is to explore certain resources, capabilities and competencies needed to improve the performance of physical asset management (PAM). Design/methodology/approach The analytic hierarchy process (AHP) is used to select and prioritize the most appropriate factors for improving performance. A multi-criteria approach is used to analyze and compare the importance of 6 main criteria and 18 subcriteria identified from a survey of relevant literature. Findings The study revealed that not all factors are viewed as having equal importance in improving PAM performance, as three of the main factors attained greater importance among the six factors. Research limitations/implications This study explored the factors required for managing assets only within the third stage of asset lifecycle, that is, the utilization stage. It is recommended that future studies be conducted in such a way as to determine the importance of similar factors in the other stages of the asset lifecycle, or to identify new factors and add new criteria. Practical implications Knowledge of the differential impacts of the factors on the performance of PAM can impact asset managers and decision makers in their allocation of resources and focus their work on the highest-ranked rather than the lowest-ranked factors. Also, AHP used provides an effective mean for asset managers to identify priorities among decision criteria in their organization. Originality/value To date, no study has explored the impact of six combined factors on the performance of PAM. Previous studies have found that these factors each had equal importance. However, their relative ranking in practice and when they appear together have remained unrecognized.

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Civil Integrated Management: Empirical study of digital practices in highway project delivery and asset management

Cited by 25 publications

References 16 publications

Exploring the Role of Digital Infrastructure Asset Management Tools for Resilient Linear Infrastructure Outcomes in Cities and Towns: A Systematic Literature Review

Exploring the Role of Digital Infrastructure Asset Management Tools for Resilient Linear Infrastructure Outcomes in Cities and Towns: A Systematic Literature Review

Bim and Gis Integration for Infrastructure Asset Management: A Bibliometric Analysis

Performance of physical asset management using the analytic hierarchy process

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