Research Article

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

Table 1

Current themes of the port literature.

AuthorsMeasures for portApproach

Wiegmans et al. (2015)Inland port performanceStatistical (regression) analysis

Shetty and Dwarakish [7]Inland port performance and productivityStatistical analysis

Kutin et al. [11]Relative efficienciesData Envelopment Analysis (DEA)

Alamoush [12]Port operational performanceConceptual framework with analytical model

Oliveira and Cariou [13]Port efficiencyData Envelopment Analysis (DEA)

Bichou and Gray [14]Port performanceConceptual logistic and supply chain approach

Coto-Millan et al. [15]Port economic efficiencyStochastic Cost Frontier (SCF)

Notteboom et al. [16]Relative efficiency of container terminalStochastic Cost Frontier (SCF)

Baros [17]Technical efficiencyStochastic Cost Frontier (SCF)

Díaz-Hernández et al. [18]Technical and allocative efficiencyStochastic Cost Frontier (SCF)

Panayides et al. [19]Economic efficiencyData Envelopment Analysis (DEA)

Wanke [20]Physical infrastructure efficiency, shipment consolidation efficiencyData Envelopment Analysis (DEA)

Chang and Tovar [21, 22]Technical efficiencyStochastic Distance Function (SDF)

Tovar and Wall [23]Port productive efficiencyDirectional technology distance function approach

Bichou and Gray [24]Terminology for classifying seaportConceptual framework

Hosseini and Barker [25, 26]ResilienceBayesian approach

Sierra et al. [27]Harbour operabilityNumerical Model

Ugboma et al. [28]Port selectionAnalytical Hierarchy Process (AHP)

Chang et al. [29]Port selection factorExploratory factor and confirmatory factor analyses

Gohomene (2008)Port selectionAnalytical Hierarchy Process (AHP)

Nur et al. [31]Port selectionStochastic Analytical Hierarchy Process (SAHP)

Song and Yeo [32]Competitiveness of container portsAnalytical Hierarchy Process (AHP)

Yeo et al. [33]Competitiveness of container portsFuzzy methodology