IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v126y2019icp66-86.html
   My bibliography  Save this article

Assessing the technical efficiency of intermodal freight transport chains using a modified network DEA approach

Author

Listed:
  • Saeedi, Hamid
  • Behdani, Behzad
  • Wiegmans, Bart
  • Zuidwijk, Rob

Abstract

This paper presents a modified Network DEA model (NDEA) to measure the performance of intermodal freight transport (IFT) chains and to find the sources of inefficiencies. The model addresses two challenges in the application of NDEA to the IFT domain: first, the chains may differ in the number of divisions (i.e., transshipment/transportation activities); and second, one needs to define a relevant intermediate service. For purposes of illustration, the model is applied to a particular European IFT network for which the inefficient transport/transshipment segments are identified and discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:126:y:2019:i:c:p:66-86
    DOI: 10.1016/j.tre.2019.04.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554518307932
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2019.04.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. Yao Chen & Wade D. Cook & Joe Zhu, 2014. "Additive Efficiency Decomposition in Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 91-118, Springer.
    3. Carlos Pestana Barros & Albert Assaf & Ade Ibiwoye, 2010. "Bootstrapped Technical Efficiency of African Seaports," Contributions to Economics, in: Pablo Coto-Millán & Miguel Angel Pesquera & Juan Castanedo (ed.), Essays on Port Economics, pages 237-250, Springer.
    4. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    5. KONISHI Yoko & Se-il MUN & NISHIYAMA Yoshihiko & Ji Eun SUNG, 2014. "Measuring the Value of Time in Freight Transportation," Discussion papers 14004, Research Institute of Economy, Trade and Industry (RIETI).
    6. Tsui, Wai Hong Kan & Gilbey, Andrew & Balli, Hatice Ozer, 2014. "Estimating airport efficiency of New Zealand airports," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 78-86.
    7. Chiou, Yu-Chiun & Lan, Lawrence W. & Yen, Barbara T.H., 2012. "Route-based data envelopment analysis models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 415-425.
    8. Beasley, J. E., 2003. "Allocating fixed costs and resources via data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 147(1), pages 198-216, May.
    9. Ming-Miin Yu & Li-Hsueh Chen, 2016. "Assessment of Transportation Performance: A Network Structure," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 17-43, Springer.
    10. Barbot, Cristina & Costa, Ã lvaro & Sochirca, Elena, 2008. "Airlines performance in the new market context: A comparative productivity and efficiency analysis," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 270-274.
    11. Du, Juan & Chen, Yao & Huo, Jiazhen, 2015. "DEA for non-homogenous parallel networks," Omega, Elsevier, vol. 56(C), pages 122-132.
    12. Jorge H. Luna & Julio Mar-Ortiz & María D. Gracia & Dionicio Morales-Ramírez, 2018. "An efficiency analysis of cargo-handling operations at container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 190-210, June.
    13. Pedro Cantos & José Pastor & Lorenzo Serrano, 1999. "Productivity, efficiency and technical change in the European railways: A non-parametric approach," Transportation, Springer, vol. 26(4), pages 337-357, November.
    14. 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.
    15. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    16. Cantos, Pedro & Maudos, Joaqui­n, 2001. "Regulation and efficiency: the case of European railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(5), pages 459-472, June.
    17. von Hirschhausen, Christian & Cullmann, Astrid, 2010. "A nonparametric efficiency analysis of German public transport companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 436-445, May.
    18. Olli‐Pekka Hilmola, 2007. "European railway freight transportation and adaptation to demand decline," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(3), pages 205-225, March.
    19. Halvorsen, Robert & Pollakowski, Henry O., 1981. "Choice of functional form for hedonic price equations," Journal of Urban Economics, Elsevier, vol. 10(1), pages 37-49, July.
    20. Sebastián Lozano & Ester Gutiérrez, 2014. "A slacks-based network DEA efficiency analysis of European airlines," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 623-637, October.
    21. Boaz Golany & Steven Hackman & Ury Passy, 2006. "An efficiency measurement framework for multi-stage production systems," Annals of Operations Research, Springer, vol. 145(1), pages 51-68, July.
    22. Saeedi, Hamid & Wiegmans, Bart & Behdani, Behzad & Zuidwijk, Rob, 2017. "European intermodal freight transport network: Market structure analysis," Journal of Transport Geography, Elsevier, vol. 60(C), pages 141-154.
    23. Liang, Liang & Cook, Wade D. & Zhu, Joe, 2016. "DEA models for non-homogeneous DMUs with different input configurationsAuthor-Name: Li, WangHong," European Journal of Operational Research, Elsevier, vol. 254(3), pages 946-956.
    24. Carlos Pestana Barros, 2006. "A Benchmark Analysis of Italian Seaports Using Data Envelopment Analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(4), pages 347-365, December.
    25. Tongzon, Jose, 2001. "Efficiency measurement of selected Australian and other international ports using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 107-122, February.
    26. Sheth, Chintan & Triantis, Konstantinos & Teodorovic, Dusan, 2007. "Performance evaluation of bus routes: A provider and passenger perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 453-478, July.
    27. Wade D. Cook & Julie Harrison & Raha Imanirad & Paul Rouse & Joe Zhu, 2015. "Data Envelopment Analysis with Non-Homogeneous DMUs," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 11, pages 309-340, Springer.
    28. Chiou, Yu-Chiun & Chen, Yen-Heng, 2006. "Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 116-127, March.
    29. Liang Liang & Feng Yang & Wade Cook & Joe Zhu, 2006. "DEA models for supply chain efficiency evaluation," Annals of Operations Research, Springer, vol. 145(1), pages 35-49, July.
    30. Weiquan Zhu & Xiaoguang Yang & John Preston, 2016. "Efficiency measurement of bus routes and exogenous operating environment effects on efficiency," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(5), pages 464-483, July.
    31. Hong-Oanh Nguyen & Hong-Van Nguyen & Young-Tae Chang & Anthony T. H. Chin & Jose Tongzon, 2016. "Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(5), pages 644-659, July.
    32. Ming-Miin Yu, 2008. "Measuring the efficiency and return to scale status of multi-mode bus transit - evidence from Taiwan's bus system," Applied Economics Letters, Taylor & Francis Journals, vol. 15(8), pages 647-653.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    2. Guo-Ya Gan & Hsuan-Shih Lee & Yu-Jwo Tao & Chang-Shu Tu, 2021. "Selecting Suitable, Green Port Crane Equipment for International Commercial Ports," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    3. Hengfan Lu & Jiachao Peng & Xiangyi Lu, 2022. "Do Factor Market Distortions and Carbon Dioxide Emissions Distort Energy Industry Chain Technical Efficiency? A Heterogeneous Stochastic Frontier Analysis," Energies, MDPI, vol. 15(17), pages 1-22, August.
    4. Mária Ďurišová & Emese Tokarčíková & Florina Oana Virlanuta & Zuzana Chodasová, 2019. "The Corporate Performance Measurement and Its Importance for the Pricing in a Transport Enterprise," Sustainability, MDPI, vol. 11(21), pages 1-17, November.
    5. Svetlana V. Ratner & Artem M. Shaposhnikov & Andrey V. Lychev, 2023. "Network DEA and Its Applications (2017–2022): A Systematic Literature Review," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
    6. Yaliu Yang & Yuan Wang & Cui Wang & Yingyan Zhang & Cuixia Zhang, 2022. "Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    7. Yang, Dong & Liao, Shiguan & Venus Lun, Y.H & Bai, Xiwen, 2023. "Towards sustainable port management: Data-driven global container ports turnover rate assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    8. Liu, Dan & Zhang, Jiahuang & Yu, Ming-Miin, 2023. "Decomposing airline profit inefficiency in NDEA through the non-competitive Nerlovian profit inefficiency model," Journal of Air Transport Management, Elsevier, vol. 107(C).
    9. Basallo-Triana, Mario José & Bravo-Bastidas, Juan José & Vidal-Holguín, Carlos Julio, 2022. "A rail-road transshipment yard picture," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    10. Bor-Hong Lin & Hsuan-Shih Lee & Cheng-Chi Chung, 2020. "The Construction and Implication of Group Scale Efficiency Evaluation Model for Bulk Shipping Corporations," Mathematics, MDPI, vol. 8(5), pages 1-13, May.
    11. Atefeh Taghavi & Reza Ghanbari & Khatere Ghorbani-Moghadam & Alireza Davoodi & Ali Emrouznejad, 2022. "A genetic algorithm for solving bus terminal location problem using data envelopment analysis with multi-objective programming," Annals of Operations Research, Springer, vol. 309(1), pages 259-276, February.
    12. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 115-138, March.
    13. Vitalii Naumov & Gaziza Zhumatayeva & Igor Taran & Madina Bazarbekova & Batyrbek Kenzhegaliyev, 2022. "Selecting a Rational Scheme of Delivery by Road Transport: A Case Study of Goods Deliveries from China to Russia through Kazakhstan," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    14. Mahmoudi, Reza & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza & Emrouznejad, Ali & Rajabi, Parisa, 2019. "A hybrid egalitarian bargaining game-DEA and sustainable network design approach for evaluating, selecting and scheduling urban road construction projects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 161-183.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    2. Kottas, Angelos T. & Madas, Michael A., 2018. "Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 1-17.
    3. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    4. Azadi, Majid & Shabani, Amir & Khodakarami, Mohsen & Farzipoor Saen, Reza, 2015. "Reprint of “Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 22-36.
    5. 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).
    6. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
    7. Lu, Wen-Min & Wang, Wei-Kang & Hung, Shiu-Wan & Lu, En-Tzu, 2012. "The effects of corporate governance on airline performance: Production and marketing efficiency perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 529-544.
    8. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2015. "Evaluating airline efficiency: An application of Virtual Frontier Network SBM," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 1-17.
    9. Azadi, Majid & Shabani, Amir & Khodakarami, Mohsen & Farzipoor Saen, Reza, 2014. "Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 324-338.
    10. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2016. "Has airline efficiency affected by the inclusion of aviation into European Union Emission Trading Scheme? Evidences from 22 airlines during 2008–2012," Energy, Elsevier, vol. 96(C), pages 8-22.
    11. Cui, Qiang & Li, Ye & Yu, Chen-lu & Wei, Yi-Ming, 2016. "Evaluating energy efficiency for airlines: An application of Virtual Frontier Dynamic Slacks Based Measure," Energy, Elsevier, vol. 113(C), pages 1231-1240.
    12. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.
    13. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.
    14. Lu, Wen-Min & Kweh, Qian Long & Nourani, Mohammad & Huang, Feng-Wen, 2016. "Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives," Omega, Elsevier, vol. 62(C), pages 82-92.
    15. Hadi Ghafoorian & NikIntan Norhan & Mohammed Ndaliman Abubakar & Fazel Mohammadi Nodeh, 2013. "Efficiency Considering Credit Risk in Banking Industry, Using Two-stage DEA," Journal of Social and Development Sciences, AMH International, vol. 4(8), pages 356-360.
    16. George E. Halkos & Nickolaos G. Tzeremes, 2015. "Measuring Seaports' Productivity: A Malmquist Productivity Index Decomposition Approach," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 355-376, April.
    17. Chiou, Yu-Chiun & Lan, Lawrence W. & Yen, Barbara T.H., 2012. "Route-based data envelopment analysis models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 415-425.
    18. Ang, Sheng & Liu, Pei & Yang, Feng, 2020. "Intra-Organizational and inter-organizational resource allocation in two-stage network systems," Omega, Elsevier, vol. 91(C).
    19. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    20. Shih-Heng Yu & Chia-Wei Hsu, 2020. "A unified extension of super-efficiency in additive data envelopment analysis with integer-valued inputs and outputs: an application to a municipal bus system," Annals of Operations Research, Springer, vol. 287(1), pages 515-535, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:126:y:2019:i:c:p:66-86. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.