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Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach

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Listed:
  • Niamat Ullah Ibne Hossain
  • Farjana Nur
  • Raed Jaradat
  • Seyedmohsen Hosseini
  • Mohammad Marufuzzaman
  • Stephen M. Puryear
  • Randy K. Buchanan

Abstract

Because ports are considered to be the heart of the maritime transportation system, thereby assessing port performance is necessary for a nation’s development and economic success. This study proposes a novel metric, namely, “ port performance index (PPI) ”, to determine the overall performance and utilization of inland waterway ports based on six criteria, port facility, port availability, port economics, port service, port connectivity, and port environment . Unlike existing literature, which mainly ranks ports based on quantitative factors, this study utilizes a Bayesian Network (BN) model that focuses on both quantitative and qualitative factors to rank a port. The assessment of inland waterway port performance is further analyzed based on different advanced techniques such as sensitivity analysis and belief propagation. Insights drawn from the study show that all the six criteria are necessary to predict PPI. The study also showed that port service has the highest impact while port economics has the lowest impact among the six criteria on PPI for inland waterway ports.

Suggested Citation

  • Niamat Ullah Ibne Hossain & Farjana Nur & Raed Jaradat & Seyedmohsen Hosseini & Mohammad Marufuzzaman & Stephen M. Puryear & Randy K. Buchanan, 2019. "Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach," Complexity, Hindawi, vol. 2019, pages 1-17, May.
    • Handle: RePEc:hin:complx:3518705
    DOI: 10.1155/2019/3518705
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    as
    1. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    2. Chinonye Ugboma & Ogochukwu Ugboma & Innocent C Ogwude, 2006. "An Analytic Hierarchy Process (AHP) Approach to Port Selection Decisions – Empirical Evidence from Nigerian Ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(3), pages 251-266, September.
    3. Abdulrahman Alfaqiri & Niamat Ullah Ibne Hossain & Raed Jaradat & Sawsan Abutabenjeh & Charles B. Keating & Mahmoud T. Khasawneh & C. Ariel Pinto, 2019. "A systemic approach for disruption risk assessment in oil and gas supply chains," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 15(3), pages 230-259.
    4. Zhou, Ying & Li, Chenshuang & Zhou, Cheng & Luo, Hanbin, 2018. "Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 152-167.
    5. Nikola Kutin & Thanh Thuy Nguyen & Thomas Vallée, 2017. "Relative Efficiencies of ASEAN Container Ports based on Data Envelopment Analysis," Post-Print hal-03193655, HAL.
    6. Adolf K.Y. Ng & Zaili Yang & Stephen Cahoon & Paul T.W. Lee & Dago Alain Gohomene & Zaili l. Yang & Stephen Bonsal & Eleftherios Maistralis & Jin Wang & Kevin X. Li, 2016. "The Attractiveness of Ports in West Africa: Some Lessons from Shipping Lines' Port Selection," Growth and Change, Wiley Blackwell, vol. 47(3), pages 416-426, September.
    7. Bichou, K. & Gray, R., 2005. "A critical review of conventional terminology for classifying seaports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 75-92, January.
    8. Pablo Coto-Millan & Jose Banos-Pino & Ana Rodriguez-Alvarez, 2000. "Economic efficiency in Spanish ports: some empirical evidence," Maritime Policy & Management, Taylor & Francis Journals, vol. 27(2), pages 169-174, April.
    9. Juan Díaz-Hernández & Eduardo Martínez-Budría & Sergio Jara-Diaz, 2008. "Parametric estimation of inefficiency in cargo handling in Spanish ports," Journal of Productivity Analysis, Springer, vol. 30(3), pages 223-232, December.
    10. Khalid Bichou & Richard Gray, 2004. "A logistics and supply chain management approach to port performance measurement," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(1), pages 47-67, January.
    11. Feng, Qiang & Zhao, Xiujie & Fan, Dongming & Cai, Baoping & Liu, Yiqi & Ren, Yi, 2019. "Resilience design method based on meta-structure: A case study of offshore wind farm," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 232-244.
    12. Jean-Paul Rodrigue & Theo Notteboom, 2009. "The terminalization of supply chains: reassessing the role of terminals in port/hinterland logistical relationships," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(2), pages 165-183, April.
    13. Dong-Wook Song & Ki-Tae Yeo, 2004. "A Competitive Analysis of Chinese Container Ports Using the Analytic Hierarchy Process," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 6(1), pages 34-52, March.
    14. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    15. Wanke, Peter F., 2013. "Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: A two-stage network-DEA approach," Journal of Air Transport Management, Elsevier, vol. 31(C), pages 1-5.
    16. Cai, Baoping & Xie, Min & Liu, Yonghong & Liu, Yiliu & Feng, Qiang, 2018. "Availability-based engineering resilience metric and its corresponding evaluation methodology," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 216-224.
    17. Wanke, Peter F., 2013. "Physical infrastructure and shipment consolidation efficiency drivers in Brazilian ports: A two-stage network-DEA approach," Transport Policy, Elsevier, vol. 29(C), pages 145-153.
    18. Chang, Víctor & Tovar, Beatriz, 2014. "Drivers explaining the inefficiency of Peruvian and Chilean ports terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 190-203.
    19. Hossain, Niamat Ullah Ibne & Jaradat, Raed & Hosseini, Seyedmohsen & Marufuzzaman, Mohammad & Buchanan, Randy K., 2019. "A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 62-83.
    20. Carlos Pestana Barros, 2005. "Decomposing Growth in Portuguese Seaports: A Frontier Cost Approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 7(4), pages 297-315, December.
    21. Chang, Young-Tae & Lee, Sang-Yoon & Tongzon, Jose L., 2008. "Port selection factors by shipping lines: Different perspectives between trunk liners and feeder service providers," Marine Policy, Elsevier, vol. 32(6), pages 877-885, November.
    22. Tovar, Beatriz & Wall, Alan, 2015. "Can ports increase traffic while reducing inputs? Technical efficiency of Spanish Port Authorities using a directional distance function approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 128-140.
    23. Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.
    24. Theo Notteboom & Chris Coeck & Julien Van Den Broeck, 2000. "Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 2(2), pages 83-106, June.
    25. Hosseini, Seyedmohsen & Morshedlou, Nazanin & Ivanov, Dmitry & Sarder, M.D. & Barker, Kash & Khaled, Abdullah Al, 2019. "Resilient supplier selection and optimal order allocation under disruption risks," International Journal of Production Economics, Elsevier, vol. 213(C), pages 124-137.
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