The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

It is challenging to develop accurate models for heavy construction equipment residual
value prediction using conventional approaches. This article proposes three Machine …

The construction industry is one of the most dangerous industries in many countries. To
improve the situation, senior managers overseeing portfolios of construction projects need to …

Material loading is one of the most critical operations in earthmoving projects. A number of
different equipment is available for loading operations. Project managers should consider …

Given the increased demand for public facilities and the lack of funds and skills to maintain,
repair, and replenish the existing facilities, public private partnerships (PPPs) have been …

The aim of this paper is to propose a methodology for supporting decision making in design
activities; in case of new projects or retrofitting of existing buildings. A multidisciplinary …

Purpose Heavy equipment residual value forecasting is dynamic as it relies on the age, type,
brand and model of the equipment, ranking condition, place of sale, operating hours and …

Price forecasting for used construction equipment is a challenging task due to spatial and
temporal price fluctuations. It is thus of high interest to automate the forecasting process …

The utilisation of equipment on construction sites can be challenging as it is expensive and
bulky with difficulties on flexible dispatching. It is therefore essential that equipment be …

Asset management provides a managerial decision-making framework for public agencies
to monitor, evaluate, and make informed decisions about how to best maintain vital civil …