The influence of information quality on decision-making for networked infrastructure management

Abstract

The influence of information quality on decision-making for networked infrastructure management Wouter van Riel a , Jeroen Langeveld a,b , Paulien Herder c and François Clemens a,d a faculty of civil engineering and geosciences, Section Sanitary engineering, delft university of technology, delft, the netherlands; b Partners4urbanWater, nijmegen, the netherlands; c faculty of technology, Section energy and Industry, Policy and Management, delft university of technology, delft, the netherlands; d deltares, delft, the netherlands ABSTRACT Operational decision processes for networked infrastructure management often occur as a multi-actor planning problem, implying these are partly based on negotiations between different stakeholders. The starting point for negation for each stakeholder is the available information about the structural condition of his infrastructure. In this respect, this leads to the question: '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 about structural condition on replacement decisions, for single and multi-actor decision-making. Players are challenged to balance their individual goal, cost-effectiveness, with their team utility, increasing overall infrastructure quality to minimise failure while minimising overall public costs. Results show that if players are presented with perfect instead of imperfect information, in a single player environment, they played more cost-effectively. The availability of perfect instead of imperfect information about object state hardly changes game outcome in terms of team utility. It means collaborative choices for team utility are primarily based on negotiations that lead to compromises, instead of analytical reasoning as a group. This indicates that efforts in improving decisionmaking by improving information quality are only partly effective.

Combining recorded failures and expert opinion in the development of ANN pipe failure prediction models

“…The water utility that provided the failure data for this study coordinates, on average, 80% of pipe interventions with at least one other utility (i.e., using the political process). Based on results from a serious game, simulating decision-making involving multiple municipal infrastructure networks, reseachers concluded that information quality (i.e., the certainty of the information on pipe condition) had little influence on decision-makers (van Riel et al, 2017).…”

A Critical Review for Trustworthy and Explainable Structural Health Monitoring and Risk Prognosis of Bridges with Human-In-The-Loop

“…In addition, various bridge users, stakeholders, and decision-makers could significantly influence operational risks and performance of bridges. Rigorous inspection, maintenance planning, and field considerations of bridge engineers determine the priority of maintenance options of CIs [1,2]. Engineers working on structural health monitoring (SHM) of bridges should consider coupled infrastructure failures and quantify the risks in order to prioritize maintenance and repair actions of CIs.…”

Data-driven asset management in urban water pipe networks: a proposed conceptual framework

“…Therefore, the alignment of data collection, quality, storage and utilisation will analogously support the alignment of strategic objectives between IAM levels. Findings of Riel et al (2017), assessing the influence of data quality (DQ) on decision-making in networked infrastructures via a serious game, indicated that increased DQ leads to decisions that ensure more cost-effective management of networked infrastructures. Furthermore, Riel et al (2017) found that collaborative decision-making between IAM levels aimed at set objectives was based on intuitive judgements rather than analytical reasoning due to a lack of quality and data reliability.…”