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Efficiency in Asian railways: a comparison between data envelopment analysis approaches

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  • Peter Wanke
  • Md. Abul Kalam Azad

Abstract

Performance analysis has become a vital part of the management practices in the logistics infrastructure. Although there are numerous applications using Data Envelopment Analysis (DEA) models to estimate efficiency in ports and airports, research on railway efficiency remains scarce. Most of the efficiency studies of railways assume that inputs and outputs are known with absolute precision. Here, we compare Stochastic-DEA and Fuzzy-DEA models to assess, respectively, how the underlying randomness and fuzziness impact efficiency levels in railway operations in six different Asian countries: Japan, Thailand, Vietnam, Malaysia, Myanmar, and Indonesia. Findings reveal that conclusions with respect to the ranking of these railways may vary substantially depending upon the type of model chosen, although efficiency scores are similar to some extent when compared within the ambits of Stochastic-DEA and Fuzzy-DEA models. Additionally, modeling choices on fuzziness, rather than randomness, appear to be the most critical source for variations in efficiency rankings.

Suggested Citation

  • Peter Wanke & Md. Abul Kalam Azad, 2018. "Efficiency in Asian railways: a comparison between data envelopment analysis approaches," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(6), pages 573-599, August.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:6:p:573-599
    DOI: 10.1080/03081060.2018.1488928
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    Cited by:

    1. Lee, Junghwan & Kim, Jinsoo, 2023. "Are electric vehicles more efficient? A slacks-based data envelopment analysis for European road passenger transportation," Energy, Elsevier, vol. 279(C).
    2. Saeedi, Hamid & Behdani, Behzad & Wiegmans, Bart & Zuidwijk, Rob, 2019. "Assessing the technical efficiency of intermodal freight transport chains using a modified network DEA approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 66-86.
    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.
    4. Thiago Victorino & Carlos Rosano Peña, 2023. "The Development of Efficiency Analysis in Transportation Systems: A Bibliometric and Systematic Review," Sustainability, MDPI, vol. 15(13), pages 1-32, June.

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