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Analysing global railway passenger transport through two-staged efficiency model

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  • Olli-Pekka Hilmola

Abstract

Public passenger transports have increased their popularity in recent years, however, we know very little about the technical and financial efficiency of this sector. In this study, we analyse global railway passenger countries with data envelopment analysis (DEA) method from the performance hierarchy perspective. Findings reveal that railways do not follow proposed hierarchy (only with small sub-sample exception), but instead amount of resources and completed investments play most important role regarding to performance. Efficiency level overall in passenger transportation is low, and differences between actors is significant. However, during recent decade most of the actors show increasing returns on scale.

Suggested Citation

  • Olli-Pekka Hilmola, 2010. "Analysing global railway passenger transport through two-staged efficiency model," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 2(3), pages 273-284.
    • Handle: RePEc:ids:ijidsc:v:2:y:2010:i:3:p:273-284
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    Cited by:

    1. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Bhatia, Vinod & Sharma, Seema, 2021. "Expense based performance analysis and resource rationalization: Case of Indian Railways," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    3. Niu, Yanliang & Li, Xin & Zhang, Jiangxue & Deng, Xiaopeng & Chang, Yuan, 2023. "Efficiency of railway transport: A comparative analysis for 16 countries," Transport Policy, Elsevier, vol. 141(C), pages 42-53.

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