Infrastructure Value Index: A Powerful Modelling Tool for Combined Long-term Planning of Linear and Vertical Assets

Alegre, Helena; Vitorino, Diogo; Coelho, S. T.

doi:10.1016/j.proeng.2014.11.469

Cited by 41 publications

(34 citation statements)

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“…The first index used is the Infrastructure Value Index, IVI(t), based on the concept of asset value, and proposed by Alegre et al [44]. IVI(t), at a given time, t, is the ratio between the current value of an infrastructure at time t, ICV(t), and the replacement cost on modern equivalent asset basis at time t, IRC(t), excluding the salvage value, as shown in Equation (4).…”

Section: Value-based Condition Assessment Of Assetsmentioning

confidence: 99%

“…ICV(t) for a given year is estimated assuming a linear depreciation model, the theoretical and actual cumulative budgets in maintenance and a certain salvage value. The model assumes a reference year and constant costs [44]. Reductions in the remaining service life with respect to the expected service life will reduce the infrastructure value.…”

Section: Value-based Condition Assessment Of Assetsmentioning

confidence: 99%

“…The second index used is the Asset Sustainability Index, ASI(t), which is defined as the ratio between the Cumulative Amount Budgeted for infrastructure maintenance and preservation over the whole life-cycle of the infrastructure, evaluated at time t, CAB(t), and the total Amount Needed to achieve a specific infrastructure condition over the whole life-cycle of the infrastructure, AN, as shown in Equation (10). The amounts shall include all maintenance actions that contribute to retain the asset in, or to restore the asset to, a certain state, which is the target [44].…”

Section: Maintenance-based Condition Assessment Of Assetsmentioning

confidence: 99%

“…Many methods of valuing assets are available, including the book value, the written down replacement cost and the market value [43]. A value-based asset condition index is the Infrastructure Value Index (IVI) [44]. Another simplified indirect approach is based on investments on maintenance, repair and rehabilitation, which are compared with the theoretical investments that should have been spent to keep the asset in optimal condition.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Condition Assessment of Water Infrastructures: Application to Segura River Basin (Spain)

Urrea-Mallebrera

Altarejos‐García

García

et al. 2019

Water

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The paper deals with the condition assessment of water management infrastructures such as storage facilities, water mains and water distribution facilities. The objective is to develop a methodology able to provide a fast, simple assessment of present asset condition, that can also be used for predicting future conditions under different investment scenarios. The authors investigate the use of different methodologies to assess condition with focus on simple, indirect condition indices based on maintenance records, such as Infrastructure Value Index (IVI) and Asset Sustainability Index (ASI). The novelty of the approach presented is the development of a methodology that combines an asset inventory together with maintenance data, that can be integrated hierarchically, delivering an assessment of condition of elements, assets and groups of assets in a bottom-up fashion. The methodology has been applied to a group of water management infrastructures of the Segura River Basin in Spain. The main conclusion is that the proposed methodology allows to assess assets' sustainability based upon past and current trends in operation and maintenance budgets, providing a baseline for planning future maintenance actions.

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Section: Value-based Condition Assessment Of Assetsmentioning

confidence: 99%

Section: Value-based Condition Assessment Of Assetsmentioning

confidence: 99%

Section: Maintenance-based Condition Assessment Of Assetsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Condition Assessment of Water Infrastructures: Application to Segura River Basin (Spain)

Urrea-Mallebrera

Altarejos‐García

García

et al. 2019

Water

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“…Several networked infrastructures beneath a typical dutch residential street. Coelho, 2014), where instead of object age, the residual value per object is used to obtain a mean infrastructure quality. This method assumes each object, for all players, has equal weight.…”

Section: Game Scenariomentioning

confidence: 99%

A gaming approach to networked infrastructure management

Riel

Post

Langeveld

et al. 2016

Structure and Infrastructure Engineering

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Operational decision-making processes for networked infrastructure management often occur as a multiactor planning problem, implying these are based on negotiations between different stakeholders in addition to available system quality information. As such, does more accurate data about actual structural condition lead to other or better decision-making? A serious game is introduced, Maintenance in Motion, aiming at investigating the influence of information quality on rehabilitation decisions, for single-and multi-actor decision-making. Players manage drinking water, gas, sewer and street infrastructures. They are to balance their individual goal, cost-effectiveness, with their team utility, increasing overall infrastructure quality to minimise failure while minimising overall public costs. The game design, calibration and solution space are presented. this is an Open access article distributed under the terms of the creative commons attribution-noncommercial-noderivatives License (http://creativecommons.org/ licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

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Effect of DMA characteristics on risk and asset analysis of the Metropolitan Waterworks Authority pipe network

Nawik,

Pilailar,

Chittaladakorn

2023

AWWA Water Science

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This study examines the District Metering Area (DMA) characteristics in the pipe networks of Metropolitan Waterworks Authority (MWA), with a specific focus on risk and asset analysis, including water loss rate, water usage, and pipe density. The objective is to classify the DMA types based on these characteristics and to determine the influence of area characteristics on water distribution infrastructure. This is achieved by employing risk assessment and asset valuation techniques to identify pipes that require replacement. Initially, the Area Characteristic Index (ACI) for all 64 DMAs within the Ladprao service office branch was evaluated using a fuzzy inference system. Subsequently, six selected DMAs from three distinct area types were analyzed by the fuzzy logic model to figure out the Risk Index (RI) values. Concurrently, the Infrastructure Value Index (IVI) contributed to the asset valuation. These indices pinpointed both the high‐risk pipe routes and the poor‐condition infrastructure. Moreover, the Modified Risk‐Value Index (MRVI) was adopted to prioritize these pipe routes within a constrained budget. The main conclusion drawn is that while DMA characteristics do not directly influence the identification of deteriorated pipes through risk assessment and asset analysis methods, the characteristic of a high water loss rate does impact the number of pipe routes identified by the RI.

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Infrastructure Value Index: A Powerful Modelling Tool for Combined Long-term Planning of Linear and Vertical Assets

Cited by 41 publications

References 0 publications

Condition Assessment of Water Infrastructures: Application to Segura River Basin (Spain)

Condition Assessment of Water Infrastructures: Application to Segura River Basin (Spain)

A gaming approach to networked infrastructure management

Effect of DMA characteristics on risk and asset analysis of the Metropolitan Waterworks Authority pipe network

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