“Artificial Intelligence in Reforming General Aviation Operations at an Airport in Pasay City: A Focus on Enhancing Airline Staff Roles”

Abstract

An airport located in Pasay City, serving as the country’s entry point, is considered the busiest airport, handling both international and domestic flights and making a great contribution to the air transportation network, but given its favorable standing, this airport still needs to modernize its aviation operations to ensure reliable and efficient service and to keep pace with the growing passenger volumes. This study addresses inefficiencies in general aviation operations through integrating Artificial Intelligence (AI), especially in the presence of resource allocation, manual workload during operational delays, and how inconsistencies in aviation management and a lack of standardized AI implementation slow technology adoption. To validate findings through triangulation and address questions from multiple angles, the researcher uses a mixed-method design by combining both qualitative and quantitative approaches upon conducting a survey and interviews among flight operational professionals at an airport in Pasay City. This study also highlights transformative technologies to address such shortcomings and enhance staff roles and operational efficiency by having AI-driven tools like predictive analytics, facial recognition, virtual queues, and machine learning. As for the results, it shows that AI integration indeed can significantly reduce manual workloads and help with managing complex flight operations while ensuring its effectiveness is being done smoothly since the majority of the respondents working at NAIA agreed to the adoption of AI, which shows that standardized AI implementation is key to maximizing operational benefits to prepare the airport for future demands because, after all, this study is all about Reforming General Aviation Operations: A focus on enhancing staff roles.