Year: 2026
Type: conference-paper
Abstract: Selecting drones for surveying and monitoring in construction projects is a complex multicriteria decision-making problem, particularly in the context of Construction 4.0 and engineering education.This study applies the Choosing by Advantages (CBA) method to support the selection of a drone for photogrammetric surveying in an academic construction case study.Four commercially available drones were evaluated using nine technical factors grouped into three categories: environmental (wind resistance, waterproof protection, operating temperature range), operational (maximum flight time, payload capacity, maximum flight speed), and data acquisition (camera resolution, frame rate, field of view).The results indicate that the drone achieving the highest total Importance of Advantages (IoA) score was the most suitable option, primarily due to the site's environmental and climatic requirements.Overall, the findings highlight that advantages associated with environmental and contextual factors are the most influential in selecting drones for construction management education, surpassing operational performance and data capture capabilities.This provides an evidence-based reference framework for educational stakeholders when selecting drones for adoption in construction-related teaching, research, and training.
DOI: 10.24928/2026/0244
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W7203728352