Towards resilient performance for construction projects: The PRL resilience framework

The construction sector owns a bad reputation in terms of performing on time and within budget. The inherent characteristics of large construction projects of complexity and uncertainty play an essential role in such deviations. While current project management and risk management approaches cannot fully predict, prevent, and enable the...

Design of Prognosis model for transportation volumes related to construction methods

The current research stems from the motivation of controlling the phenomenon of traffic congestion in urban areas that can be deteriorated due to the implementation of a construction project. Nowadays, it is frequently observed that construction activities in complex urban environments appear undesirable effects on the communities surrounding...

Sub-components’ lead time optimization in precast concrete house-building industry

Precast concrete appears to be promising in dealing with delays in housing construction, yet long lead times are apparent in this industry. Lead time refers to the time that elapses between placing and receiving an order. The construction company Janssen de Jong recognizes the problem of sub-components’ long lead times in precast concrete house...

Validating Flood Damage Estimations: A framework using plausibility and empirical data

Flood risk models are frequently used to analyse the climate- and socio-economic-driven impact of flooding hazards. However, model validation is rarely done adequately due to the rare occurrence of floods and even less frequent reporting of corresponding damages. <br/> <br/>In this research, validation is defined as the process of ensuring that...

Predicting Truck Cycle Time in Earthworks Using a Machine Learning Approach

Inaccurate truck cycle time (TCT) prediction in earthworks impacts construction projects because more equipment and human resources must be added to complete the project. It also increases fuel consumption and emissions from the machinery. However, the current method gives inaccurate prediction because of subjectivity and human error. <br/>This...