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The novelty lies in the modelling of interdependencies among port performance measures, and the combination of weights of interdependent measures with both qualitative and quantitative evaluations of the measures from multiple stakeholders for quantitative port performance measurement.
This study develops a new port performance measurement model by taking the perspectives from different port stakeholders.
Fig. 6 Port Performance Indexes.
Nevertheless, governance is not the only element determining port performance.
Ha et al. [10] proposed a new decision-making framework composed of AHP and Fuzzy TOPSIS for prioritizing port performance.
The port performance index (PPI) is one of the important elements of this analysis, as it reflects the overall performance of hub ports.
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Hub port performances related to individual criteria were analyzed using AvAS.
Hub port performances were evaluated considering each criterion mentioned under the time, port traffic, location, operation, and liner-related categories.
The PPI can be used to compare hub port performances since it incorporates both the significance of the criteria and the performances of the hub ports.
First, for the comparisons of port performances by category, the averages of the appreciation scores across all criteria within the same category were calculated for each hub port and were compared for each possible port pair using a t-test, as in Table 11.
From the third section of the questionnaire, the hub port performances related to the criteria grouped within the time, port traffic, location, operation, and liner-related categories were evaluated using the appreciation score proposed by Koi (2006), which uses a scale ranging from − 3 (worst) to + 3 (best).
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