Connectivity is key in this new era of smart infrastructure. Smart airports utilize new connected technologies to improve end-user experience while ensuring operational feasibility in aeronautical and non-aeronautical segments. The increasing need for digitizing the design-build-operate life cycles of airports can be met by implementing building information modeling (BIM) that enables accessing, managing, utilizing, and connecting physical and operational data in a digital collaborative environment. This study investigates the current state of practice in airport BIM (ABIM) and the use of ABIM processes in digital airport operations and maintenance by connecting existing data sources and integrating smart airport systems. The study proposes a comprehensive and adaptive ABIM management framework that depicts the alignment and connectivity of ABIM processes, resources and stakeholders with airport operational requirements by identifying gaps in the industry and literature, and developing a global understanding in ABIM visions. Research data are collected through literature and industry review, online surveys, and semi-structured interviews with aviation professionals. Mixed methods including non-parametric statistical analysis and qualitative analysis are used to determine the elements of the framework. Model-based systems engineering (MBSE) principles and language are used to generate the framework. For framework validation, a proof of concept (POC) is conducted by development and deployment of a web-based application. The developed ABIM framework is expected to guide major airport stakeholders in their BIM implementation processes to enhance airport operational efficiencies and in strategizing digital initiatives on a connected-BIM platform.


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    Titel :

    Building Information Modeling Implementation Framework for Smart Airport Life Cycle Management


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:
    Keskin, Basak (Autor:in) / Salman, Baris (Autor:in)


    Erscheinungsdatum :

    2020-05-05




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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