... (ML) regression trained on data from 160 projects across ten progress intervals. It incorporated five scope metrics, nine EVM metrics, eight LPS performance metrics and eight LPS collaboration metrics to predict the schedule performance index (SPI) at the end of the initial plan. Data Science and SNA...

..., group discussions and questionnaire methods. The actual uncertainties and exposure conditions of construction activities were recorded. The data were verified with the standard guideline to remove the outliers. The prediction model was developed using support vector regression (SVR), a machine learning...

...Hassan Adaviriku Ahmadu; Ahmed Doko Ibrahim; Yahaya Makarfi Ibrahim; Kulomri Jipato Adogbo Purpose This study aims to develop a model which incorporates the impact of both aleatory and epistemic uncertainties into construction duration predictions, in a manner that is consistent with the nature...

... at crossroads, a pro-active warning system that could provide six functions for countermeasures was designed. Several approaches relating to computer vision and a prediction algorithm were applied and proposed to realize the setting functions. Findings One 12-hour video that films a crossroad...

...-scale construction projects are classified based on SSI. Applying RST for building rule-based system and classifying projects in construction project area are novel attempts undertaken in this paper. The rules induced in this study can be applied to develop a sustainable success prediction model...

...Ajibade A. Aibinu; Dharma Dassanayake; Toong-Khuan Chan; Ram Thangaraj Purpose – The study reported in this paper proposed the use of artificial neural networks (ANN) as viable alternative to regression for predicting the cost of building services elements at the early stage of design...

... source for predicting future bridge deterioration in BMSs. However, historical condition ratings are very limited in most bridge agencies, thus posing a major barrier for predicting reliable future bridge performance. The purpose of this paper is to present a preliminary study as part of a long‐term...

... sewers with the following conditions: non‐cohesive soil backfill, low ground water table, and non‐typical depth of cover. Maintenance programmes Prediction Models Life cycle costing Dynamic modelling Simulation When sewer system maintenance/rehabilitation (M&R) options are viewed...

...CHING MING TAM; FRANK HARRIS This study describes the development of operational research models for predicting contractor performance in Hong Kong, using discriminant and multiple regression analysis techniques. An important aim was to determine the underlying factors that influence contractor...