Abstract: Deferred maintenance (DeM) backlogs can accelerate facility deterioration, which can cause buildings to reach demolition conditions prematurely. Although higher-education institutions allocate DeM costs to the budget, they ...

Abstract: Every year power outages affect millions of people. In the US, historical data show that between 2000 and 2016, 75% of outages (in terms of duration) were caused by severe weather events. The National Association of ...

Abstract: The Purdue index for construction (Pi-C) was previously developed to facilitate and promote data-driven decision-making. Pi-C is an analytical platform that allows stakeholders and decision makers to measure the current ...

Abstract: The Purdue Index for Construction (Pi-C) was developed to gauge the health of the construction industry. It is a composite index consisting of five dimensions: economic, stability, social, development, and quality. This ...

Abstract: Debris generated and left in the wake of a disaster is one of a community’s greatest obstacles in the ability to restore function. The objectives of this paper are (1) to provide systematic procedures to develop and ...

Abstract: Composite pavements currently are the most prevalent pavement type for highway rehabilitation projects in the US. However, composite pavements are susceptible to pavement distresses inherent in hot-mix asphalt (HMA) pavement ...

Abstract: The construction industry is one of the most significant contributors to the growth of the US economy as well as the global market. The Purdue Index for Construction (Pi-C) was developed in the form of a composite index ...

Abstract: This research proposes a systematic data-driven analytics protocol and case studies that can help decision makers in the construction industry embrace the practice of using data to make critical choices. The protocol ...