Aims

Intelligent, Resilient, and Integrated Infrastructure Systems (IR2IS) is an international, peer-reviewed, open-access journal that publishes research on how contemporary infrastructure systems are conceived, analysed, monitored, operated, and governed through intelligent, resilient, and integrated approaches in the presence of complexity, uncertainty, and evolving performance requirements.

The journal treats infrastructure not as isolated physical assets, but as interconnected and dynamic systems composed of technical components, operational processes, information flows, and decision mechanisms. It focuses on system-level perspectives that examine how infrastructure systems function, interact, and adapt over their life cycle, including planning, design, operation, maintenance, adaptation, and renewal.

IR2IS places particular emphasis on the analytical and methodological foundations underlying intelligent and resilient infrastructure systems. This includes how system structures and interdependencies are modelled, how monitoring and sensing information is incorporated into system operation, how decisions are supported under uncertainty, and how system performance, reliability, safety, and resilience are assessed and enhanced in practice.

The journal aims to advance understanding of how intelligent mechanisms—such as data-informed analysis, adaptive operation, and decision-support frameworks—are integrated within infrastructure systems to improve coordination, robustness, and long-term functionality. Contributions are expected to engage substantively with system modelling, analysis, evaluation, or decision processes, rather than providing purely descriptive accounts of technologies or case studies without analytical depth.

IR2IS provides a forum for research at the intersection of infrastructure engineering, systems science, data analytics, and decision-making, where the system perspective remains central. Submissions may address how multiple infrastructure domains are integrated, how system resilience is designed and evaluated, and how intelligent approaches improve infrastructure performance in real-world engineering and operational contexts.

The journal publishes conceptual, methodological, computational, and applied studies that advance knowledge of infrastructure systems as complex and evolving entities, supporting transparent, evidence-based, and analytically grounded decisions in engineering practice, infrastructure management, and policy formulation.

The journal is published quarterly by Acadlore and follows a structured peer-review process and established editorial standards to ensure clarity of argument, transparency of methods, and consistency in the evaluation of submitted work.

Key features of IR2IS include:

• The journal addresses infrastructure systems as integrated and interdependent systems, rather than focusing on isolated components, individual assets, or narrowly defined engineering disciplines;

• It emphasises intelligent and resilient approaches to infrastructure analysis and operation, with particular attention to how information, models, and decisions are embedded within system processes;

• The journal values contributions that present explicit analytical, modelling, or evaluative frameworks, supported by clearly stated assumptions, methodological justification, and systematic evidence;

• Research on resilience, reliability, safety, and robustness of infrastructure systems is encouraged, where these aspects are examined through formal system analysis, modelling, or decision-support approaches;

• Governance, management, and policy dimensions of infrastructure systems are considered where they are analytically integrated into system operation, performance evaluation, or decision processes, rather than treated as standalone policy commentary;

• The journal encourages comparative, cross-system, and cross-method studies that clarify how different analytical or operational approaches influence infrastructure system behaviour and outcomes;

• The editorial and review process emphasises methodological transparency, clarity of system definition, and reproducibility of analysis, enabling published research to be critically assessed and meaningfully reused.

Scope

IR2IS welcomes original research articles, theoretical contributions, systematic reviews, and well-founded empirical or computational studies that provide analytical insight into intelligent, resilient, and integrated infrastructure systems, including but not limited to the following areas:

Infrastructure Systems and Integration

• Water, energy, transportation, environmental, and urban infrastructure systems

• Integrated and interdependent infrastructure systems

• Cross-sectoral infrastructure coupling and coordination

• System architecture and functional integration across infrastructure domains

• Life-cycle analysis and system evolution of infrastructure systems

Intelligent Monitoring, Operation, and Control

• Monitoring, sensing, and diagnostic methods for infrastructure systems

• Data-informed and adaptive operational strategies

• Intelligent control and optimisation of infrastructure system operation

• Predictive maintenance and condition-based management

• Integration of monitoring data with operational decision-making

System Modelling, Simulation, and Analytics

• Modelling and simulation of infrastructure systems and networks

• System dynamics, network-based, and agent-based approaches

• Statistical and data-driven analysis of infrastructure performance

• Hybrid modelling frameworks combining physical models and data analytics

• Digital representations and virtual system environments

Resilience, Reliability, and Safety Analysis

• Assessment of infrastructure system resilience and robustness

• Reliability analysis and failure propagation in interconnected systems

• Risk assessment and safety analysis of infrastructure operations

• System response to uncertainty, disturbances, and extreme events

• Performance-based design and evaluation of resilient infrastructure systems

Decision Support, Governance, and Management

• Decision-support frameworks for infrastructure planning and operation

• Integration of engineering analysis with management and policy decisions

• Evidence-based infrastructure management and regulatory support

• Institutional and organisational factors embedded in system operation

• Case studies demonstrating integrated and resilient system decision-making

Evaluation, Validation, and Methodological Reflection

• Validation and benchmarking of infrastructure system models

• Comparative analysis of modelling, monitoring, and decision-support approaches

• Sensitivity, robustness, and uncertainty analysis at the system level

• Critical examination of methodological assumptions and limitations

• Reproducibility, transparency, and interpretability of system analyses

Related and Emerging Topics

• Intelligent and resilient infrastructure systems across spatial and temporal scales

• Longitudinal and dynamic analysis of infrastructure system behaviour

• Integration of infrastructure systems with environmental and societal contexts

• Scenario-based analysis and long-term infrastructure system planning

• System-oriented approaches to infrastructure transformation and adaptation