Digital Technologies for Cost and Time Management in Construction

A Special Issue of Buildings (ISSN 2075-5309) belonging to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 10 February 2027 | Viewed by 561

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Guest Editor
Department of Architecture, School of Architectural Engineering, Politecnico di Milano, 20133 Milan, Italy
Interests: BIM; knowledge management; digital twins; ICT for construction; digital platforms; standardization; cost management
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Guest Editor
Department Architecture, Built Environment, and Construction Engineering (DABC), Politecnico di Milano, 20133 Milan, Italy
Interests: BIM; openBIM; linked data; knowledge management; data management; project management; digital twins; AI for construction; digital platforms; standardization; cost management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In construction projects, the risk of cost overruns and schedule delays is high. Construction projects for buildings and infrastructure are becoming increasingly complex with a greater demand for boosted performance while reducing costs and time. These elements highlight the need for more effective and precise cost and time management procedures that have become the main source of innovation and improvement in the integration of digital technologies. The combination of geometrical data from building information models with time information (4D modelling) and cost information (5D modelling) is still under exploration both in terms of research and industrial applications. The possibilities offered by the use of artificial intelligence to automate and improve the existing processes are still unexplored and can drive a new wave of innovation in terms of time and cost management activities. Extending the case study applications to different contexts as well as promoting new and innovative ways to integrate multidisciplinary information considering geometry, time and cost represent an open challenge for the construction sector. Thus, this Special Issue calls for contributions that lead to more integrated time and cost management activities with the support of digital technologies in the construction sector.

Dr. Mirarchi Claudio
Dr. Jacopo Cassandro
Guest Editors

Manuscript Submission Information

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Keywords

  • artificial intelligence for cost and time management in construction
  • AI-based decision support systems for project control
  • predictive analytics for cost and schedule forecasting
  • integrated cost and schedule control
  • automation in construction project management

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Published Papers (1 paper)

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Research

46 pages, 3434 KB  
Article
Towards an Effective Risk Management Framework for Large-Scale Infrastructure Projects
by Fairooz Ferdous, Mickael Sassine, Anjuhan Saravana, Michel Chaaya, Faham Tahmasebinia and Samad M. E. Sepasgozar
Buildings 2026, 16(17), 3490; https://doi.org/10.3390/buildings16173490 - 1 Sep 2026
Viewed by 254
Abstract
Large-scale infrastructure projects (LSIPs) frequently exceed budgets and schedules despite the accessibility or the adoption of risk management frameworks (RMFs). This study addresses or discusses two gaps: the lack of triangulated evidence on why structurally sound frameworks such as ISO 31000 and PMBOK [...] Read more.
Large-scale infrastructure projects (LSIPs) frequently exceed budgets and schedules despite the accessibility or the adoption of risk management frameworks (RMFs). This study addresses or discusses two gaps: the lack of triangulated evidence on why structurally sound frameworks such as ISO 31000 and PMBOK remain procedural rather than adaptive during delivery, and the absence of a practical, governance-integrated mechanism for strengthening them. An exploratory mixed-methods design combined a structured narrative review of the literature, a survey of infrastructure practitioners in Australia, semi-structured interviews with selected senior practitioners, and analysis of five international megaprojects. Findings indicate that risk management is predominantly compliance-driven: risk identification weakens during delivery, risk allocation performs weakest among the six domains, and digital tool adoption remains limited on a five-point scale where higher values indicate stronger performance. Governance was strongly associated with risk allocation and monitoring with identification, while appetite for reform was high but uncorrelated with operational domains. Internal consistency was acceptable to excellent. The study contributes (1) triangulated empirical evidence of systemic RMF weaknesses in LSIPs and (2) the cadence–ownership–feedback (COF) spine with a record-why-changed (RWC) routine, a governance-integrated mechanism for making existing frameworks adaptive, together with a five-stage implementation roadmap. These propositions are conceptually derived from the triangulated evidence rather than empirically validated, and their validation through Delphi review and structured pilots is identified as future work. Full article
(This article belongs to the Special Issue Digital Technologies for Cost and Time Management in Construction)
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