Maintenance in airport infrastructures (MAI) has tempted scientists and practitioners worldwide. It is explained mainly by the critical maintenance function in this field. Maintenance costs represent a significant part of airport infrastructure operating costs. Therefore, Maintenance management methods are becoming increasingly essential, knowing that any damage can substantially affect airport infrastructures. To avoid this, many tools related to BIM will detect all possible failures and solve them before their appearance. This type of management is called “Predictive maintenance.” This study conducted a bibliometric analysis to evaluate the current level of research on the Maintenance of Airport Infrastructure. Thanks to the Web of Science database, a search of documents coping with MAI has been realized. It is a world-leading publisher-independent global citation database. The investigation identified 489 papers, and the data collected was analyzed utilizing a bibliometric tool called Bibliometrix from the Web of Science database (WoS). Key findings are presented and discussed, followed by potential future research avenues.

机场基础设施 (MAI) 的维护吸引了全世界的科学家和从业者。主要是通过该领域的关键维护功能来解释的。维护成本占机场基础设施运营成本的很大一部分。因此，维护管理方法变得越来越重要，因为我们知道任何损坏都会严重影响机场基础设施。为了避免这种情况，许多与 BIM 相关的工具会检测所有可能的故障并在故障出现之前解决它们。这种类型的管理称为“预测性维护”。本研究进行了文献计量分析，以评估机场基础设施维护的当前研究水平。借助Web of Science数据库，实现了MAI相关文献的检索。它是世界领先的独立于出版商的全球引文数据库。该调查确定了 489 篇论文，并利用 Web of Science 数据库 (WoS) 中名为 Bibliometrix 的文献计量工具对收集的数据进行了分析。介绍并讨论了主要发现，然后介绍了未来潜在的研究途径。