Document Type


Publication Date


Subject: LCSH

Marine terminals--environmental aspects, Marine terminals--evaluation, Harbors, Shipping, Benchmarking (Management)


Industrial Engineering | Mechanical Engineering


This study provides step-wise benchmarking practices of each port to enhance the environmental performance using a joint application of the data-mining technique referred to as Kohonen’s self-organizing map (KSOM) and recursive data envelopment analysis (RDEA) to address the limitation of the conventional data envelopment analysis. A sample of 20 container ports in the U.S.A. were selected, and data on input variables (number of quay crane, acres, berth and depth) and output variables (number of calls, throughput and deadweight tonnage, and CO2 emissions) are used for data analysis. Among the selected samples, eight container ports are found to be environmentally inefficient. However, there appears to be a high potential to become environmentally efficient ports. In conclusion, it can be inferred that the step-wise benchmarking process using two combined methodologies substantiates that a more applicable benchmarking target set of decision-making units is be projected, which consider the similarity of the physical and operational characteristics of homogenous ports for improving environmental efficiency.


This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Logistics Research and Applications on August 6, 2018, available online:



Publisher Citation

Yong Shin Park, N. Muhammad Aslaam Mohamed Abdul Ghani, Fesseha Gebremikael & Gokhan Egilmez (2019) Benchmarking environmental efficiency of ports using data mining and RDEA: the case of a U.S. container ports, International Journal of Logistics Research and Applications, 22:2, 172-187, doi: 10.1080/13675567.2018.1504903