Accurate cost forecasting in budget planning and contract bidding is crucial for the success
of construction projects. Linear models such as the autoregressive integrated moving …

This paper addresses the gap in the scientific literature regarding construction cost
estimates for the construction of underground metro stations. It provides preliminary cost …

Purpose This research aims to forecast the ABI as a leading indicator of US construction
activities, applying multivariate machine learning predictive models over different horizons …

Seismic events disrupt the operation of water distribution networks. Proactive seismic
rehabilitation decision-making methods are necessary to ensure maximum serviceability …

The construction market presents volatile fluctuations through time. These fluctuations are
problematic for project planners and decision-makers to accurately assess business …

Natural hazards pose significant threats to the integrity of pipeline networks. Rapid post-
disaster reconstruction is crucial for both the safety and survival of communities. However …

Cost overrun in residential construction projects is a prevalent issue that adversely affects
project stakeholders and the construction industry as a whole. The objective of this research …

The rapid reconstruction of pipelines is crucial in the aftermath of a disaster since the
pipeline networks transport and distribute life-dependent supplies such as water, natural …

In the context of a growing global pipeline market, the escalating demand for oil and gas
infrastructure is met with intensified scrutiny over environmental impacts, necessitating much …

This paper addresses the gap in the scientific literature regarding construction cost
estimates for the construction of underground metro stations. It provides preliminary cost …