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Using data envelopment analysis as a public transport project appraisal tool

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  • Caulfield, Brian
  • Bailey, Diarmuid
  • Mullarkey, Shane

Abstract

The provision of a fast, frequent and modern public transport service operating from Dublin city centre to the airport has been a topic of great interest in recent times, in Ireland. Due to Ireland's poor financial situation, the choice of infrastructure investment has become more important than ever and hence, large expensive projects such as an underground Metro line called Metro North have been widely criticised. The main objective of this research is to investigate and identify the most efficient transport solution for the Dublin city centre-airport route. The Dublin Area Rapid Transit (DART) (over ground heavy rail) spur and Metro North are explored along with a Bus Rapid Transit (BRT) route and a Luas (tram) line. Data Envelopment Analysis (DEA) was employed to identify the most efficient solution for the city centre-airport route and to establish the reasons for inefficiency.

Suggested Citation

  • Caulfield, Brian & Bailey, Diarmuid & Mullarkey, Shane, 2013. "Using data envelopment analysis as a public transport project appraisal tool," Transport Policy, Elsevier, vol. 29(C), pages 74-85.
    • Handle: RePEc:eee:trapol:v:29:y:2013:i:c:p:74-85
    DOI: 10.1016/j.tranpol.2013.04.006
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    References listed on IDEAS

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    6. Merkert, Rico & Mulley, Corinne & Hakim, Md Mahbubul, 2017. "Determinants of bus rapid transit (BRT) system revenue and effectiveness – A global benchmarking exercise," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 75-88.
    7. Kyriacou, Andreas P. & Muinelo-Gallo, Leonel & Roca-Sagalés, Oriol, 2019. "The efficiency of transport infrastructure investment and the role of government quality: An empirical analysis," Transport Policy, Elsevier, vol. 74(C), pages 93-102.
    8. Feras Tayeh & Osman Ghanem, 2023. "Decision-Making Support of Sustainable and Efficiency of Railway Project: Case Study China-Pakistan," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 15(1), pages 1-25, January.
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