Characterizing multi-actor collaborative behavior of flight ground handling process

This study considers the flight ground handling process, which is influenced by the collaboration of multiple handling personnel. It aims to characterize and analyze the multi-actor collaborative behavior network in ground handling from a behavioral network perspective. This paper uses two data modalities: interview audio data from flight ground handling command personnel, and industry regulation for flight safety operation handling. Text mining methods help construct a foundational semantic lexicon for ground handling. Based on the lexicon, this paper extracts collaborative behavior data, constructs a multi-actor personnel collaboration network, and analyzes collaboration patterns with social network analysis. The results indicate that personnel involved in flight ground handling can be grouped into three categories: resource supply personnel, command and coordination personnel, and execution personnel. Network features further identify the flight crew, tower, and aircraft watch personnel as key bridges for cross-actor collaboration, consistent with the operational division of labor. Overall, this paper innovatively mines collaborative behavior data from two modality sources, constructs and analyzes the collaboration network, providing a new research viewpoint for studying collaboration in flight ground handling.