Data-Driven Project Planning and Control: Advancing Cost, Schedule, and Risk Management

Dear Colleagues,

The complexity of construction management is increasing due to the uncertainties inherent in modern project environments. Effective project planning and control are essential to optimize decision-making and achieve project success. These processes involve not only managing costs, durations, and risks but also addressing additional factors such as safety, energy efficiency, sustainability, and social impacts.

This Special Issue focuses on the application of data-driven technologies and techniques that leverage both qualitative and quantitative data, including the following:

• Regression analysis;
• Bayesian inference;
• Fuzzy logic;
• Monte Carlo simulation;
• Time series analysis;
• Artificial intelligence (e.g., machine learning and deep learning);
• Probabilistic and network models;
• Natural language processing and text mining;
• Building information modeling;
• Blockchain;
• Internet of Things.

Potential applications include the following:

• Cost and duration forecasting;
• Scheduling optimization;
• Risk identification, evaluation, and mitigation;
• Methods for integrating uncertainty into project decisions;
• Advanced techniques for enhancing resource allocation;
• Safety monitoring and improvement;
• Ensuring regulatory compliance;
• Energy applications (e.g., renewable energy integration and efficiency optimization);
• Sustainability-focused solutions (e.g., carbon footprint, waste management and water usage);
• Social impact analysis;
• Smart infrastructure planning to support resilient and adaptive systems.

We welcome submissions of technical reports, literature reviews, case studies, empirical research, conceptual papers, and position papers that explore innovative, data-driven approaches to improving project planning and control. This Special Issue aims to bridge theory and practice, contributing to enhanced outcomes in construction project management.

Dr. Giulio Mangano
Prof. Dr. Alberto De Marco
Dr. Filippo Maria Ottaviani
Guest Editors

Manuscript Submission Information

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