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An Architecture Framework Approach for Complex Transport Projects

Author

Listed:
  • Farid Shirvani

    (University of Wollongong)

  • Ghassan Beydoun

    (University Technology of Sydney)

  • Pascal Perez

    (University of Wollongong)

  • William Scott

    (University of Wollongong)

  • Peter Campbell

    (University of Wollongong)

Abstract

Transport infrastructure systems are very complex and expensive. Projects to procure such systems are costly, long and complex to manage. The procurement context usually includes many collaborating organizations but often with different concerns and priorities, and many interactions to other parties. This makes the procurement very complex and entangled. DoDAF, MoDAF and TRAK are three architecture frameworks (AF) that model the whole enterprise/system life cycle that includes system procurement. They are expressed as metamodels. In this paper, we analyse various procurements strategies and identify the concerns that AFs should address. The TRAK AF is then applied to a Rail procurement case study in collaboration with Transport for New South Wales (NSW) in Australia to assess its effectiveness in meeting the procurement needs. In all stages of the study, TRAK is mapped and compared to DoDAF and MoDAF to examine whether DoDAF or MoDAF can cover the inadequacies of TRAK. This paper shows that there is a considerable number of procurement needs which are overlooked by these architecture frameworks. It proposes a metamodel driven expansion to these frameworks to improve their completeness and expressiveness.

Suggested Citation

  • Farid Shirvani & Ghassan Beydoun & Pascal Perez & William Scott & Peter Campbell, 2021. "An Architecture Framework Approach for Complex Transport Projects," Information Systems Frontiers, Springer, vol. 23(3), pages 575-595, June.
  • Handle: RePEc:spr:infosf:v:23:y:2021:i:3:d:10.1007_s10796-019-09978-y
    DOI: 10.1007/s10796-019-09978-y
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    References listed on IDEAS

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    1. Arafat Al-dhaqm & Shukor Razak & Siti Hajar Othman & Asri Ngadi & Mohammed Nazir Ahmed & Abdulalem Ali Mohammed, 2017. "Development and validation of a Database Forensic Metamodel (DBFM)," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-34, February.
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