Efficient project delivery in the context of contemporary construction management is
dependent on large volumes of data. However, due to pertinent challenges underlying …

Construction cost predictions to reduce time risk assessment are indispensable steps for
process of decision-making of managers. Machine learning techniques need adequate …

Construction industry has one of the highest rates of fatalities and injuries compared to other
industries, despite technological advancements and implementations of occupational health …

Uncertainty of cost items is an important aspect of complex projects. Cost uncertainty
analysis aims to help decision makers to understand and model different factors affecting …

Construction is an extremely information-dependent industry in which a project's success
largely depends on good access to and management of data. Effective project management …

The construction industry causes a number of complex environmental effects, particularly
carbon dioxide emissions. In the past decade, decision makers in the construction industry …

Interaction and integration of uncertainties in on-site and off-site project activities often result
in the risk of delays and schedule overruns in hybrid construction projects. To address this …

Sustainable development requires decision-making systems based on sustainability criteria
and overpassing just economic and financial criteria. Integration of life-cycle cost analysis …

Machine learning plays a vital role in construction industry which could make improve
project's safety, productivity, and quality. Many studies have attempted to explore the …

This book provides in-depth results and case studies in innovation from actual work
undertaken in collaboration with industry partners in Architecture, Engineering, and …