PurposeAirport construction is extremely different than the construction of any other transport infrastructure. It is a vital area affecting both the environment and the economy. Therefore, sustainable selection of building materials represents a very important step. The main objective of this paper was to develop a set of sustainable assessment criteria (SAC) to assist design team members in the selection between two different material alternatives when constructing a new runway in Kuwait international airport. The proposed materials were asphalt or concrete.Design/methodology/approachA set of 24 sub-criteria were developed, those were emerged from three main criteria: technical, environmental and socio-economic. Fuzzy analytical hierarchy process (FAHP) was employed to assign weights and to measure the relative importance of these criteria for the material alternatives selection. The prioritizing process for criteria was based on a survey of 100 responses.FindingsIt had been concluded from the use of FAHP that asphalt material was a better alternative in maintainability, ease of construction, health and safety, initial cost and energy saving. Concrete was better in fire resistance, durability, decay resistance, energy saving and thermal insulation, maintenance cost, aesthetics, minimizing pollution, impact on air quality, low toxicity, environmentally disposal sound system, amount of likely wastage and raw material extraction method.Originality/valueDevelop a set of SAC to assist design team members in deciding between two material alternatives to construct a runway.

Background: As a result of the rising costs of housing in Kuwait, several families find it increasingly challenging to purchase new homes. Typically, Kuwaitis carry out extensions of the existing housing spaces they possess, to accommodate their growing families. In the management and execution of house extension projects, construction planning and scheduling are complex albeit critical tasks. Building information modeling (BIM) and optimization techniques have become crucial tools for improving these two critical processes. Methods: This study aimed to integrate 4D BIM and multi- objective optimization using a genetic algorithm (MOGA) for construction planning and scheduling of a precast house extension. A case study was undertaken for a two-storey family house in Kuwait, which has been extended by two additional floors using the precast method. The extension of the house has its own foundation and support, with a design that adheres to Le Corbusier's five points of architecture. The Autodesk Revit software was used to generate a three-dimensional architectural model of the house extension. Results and Discussion: After running the MOGA based on the developed schedule, optimal results were obtained as a Pareto front with 70 combinations across workers' cost and construction time. The preferred schedule was selected and fed into Autodesk Navisworks to generate a 4D BIM model. Navisworks was used to simulate the house extension, accompanied by its scheduling information. Conclusion: The amalgamation of a multi-objective algorithm with 4D BIM may be employed to efficaciously plan and schedule building projects, allowing for quality decision-making.