Investigating the Competitive Factors of Container Ports in the Mediterranean Area: An Experimental Analysis Using DEA and PCA

Fancello Gianfranco;Serra Patrizia
;
Vitiello Daniel Mark;Aramu Valentina
2022-01-01

Abstract

In the maritime world scenario, various challenges are affecting Mediterranean container ports, which are trying to keep high their efficiency and their competitiveness through infrastructural and managerial improvements. The identification of the priority actions requires the analysis of the productivity of each port in relation to the use of its resources. This study applies Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA) in order to investigate the potential factors that can affect the efficiency of Mediterranean container ports. These methods use six input variables (yard area, berth depth, number of quay cranes, equipment, berth length and distance of the port from the Suez-Gibraltar axis) and one output variable (port throughput expressed in TEUs). The results can help to highlight the potential factors of success for Mediterranean container ports and to identify future policies and management strategies aimed towards the strengthening of the analyzed context.
2022
Inglese
Computational Science and Its Applications – ICCSA 2022 Workshops
9783031105470
9783031105487
Springer
Cham, Switzerland
SVIZZERA
Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A. C. Rocha, Chiara Garau
13381
124
139
16
22nd International Conference on Computational Science and Its Applications , ICCSA 2022
Esperti anonimi
4-7 Luglio 2022
Malaga
internazionale
scientifica
Benchmarking; Container port; Data Envelopment Analysis; Mediterranean sea; Principal Component Analysis
Proceedings, Part V
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Fancello, Gianfranco; Serra, Patrizia; Vitiello, DANIEL MARK; Aramu, Valentina
273
4
4.1 Contributo in Atti di convegno
partially_open
info:eu-repo/semantics/conferencePaper
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