2019
DOI: 10.1108/md-04-2018-0482
|View full text |Cite
|
Sign up to set email alerts
|

Port performance measurement in the context of port choice: an MCDA approach

Abstract: Purpose-Port performance and port choice have been treated as separate streams of research. This hampers the efforts of ports to anticipate on and respond to possible future changes in port choice by shippers, freight forwarders and carriers. The purpose of this paper is to develop and demonstrate a port performance measurement methodology, extended from the perspective of port choice, which includes hinterland performance and a weighting of attributes from a port choice perspective. Design/methodology/approac… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
39
0
2

Year Published

2019
2019
2023
2023

Publication Types

Select...
5
4

Relationship

2
7

Authors

Journals

citations
Cited by 64 publications
(41 citation statements)
references
References 57 publications
0
39
0
2
Order By: Relevance
“…The original BWM is presented as a non-linear optimization problem [9] , while there exists a linear approximation [10] , a multiplicative version [28] , and some hybrid versions such as BWM-MULTIMOORA [29] and BWM-VIKOR. The method has also been extensively used in many real-world applications including, but not limited to, transport and logistics [30][31][32] , supply chain management [33][34][35][36][37][38][39] , technology management [40] , risk management [41] , science and research assessment [42,43] , and energy [44,45] (see [46] for more recent advances in the BWM and its applications).…”
Section: Best-worst Methodsmentioning
confidence: 99%
“…The original BWM is presented as a non-linear optimization problem [9] , while there exists a linear approximation [10] , a multiplicative version [28] , and some hybrid versions such as BWM-MULTIMOORA [29] and BWM-VIKOR. The method has also been extensively used in many real-world applications including, but not limited to, transport and logistics [30][31][32] , supply chain management [33][34][35][36][37][38][39] , technology management [40] , risk management [41] , science and research assessment [42,43] , and energy [44,45] (see [46] for more recent advances in the BWM and its applications).…”
Section: Best-worst Methodsmentioning
confidence: 99%
“…Compared to other pairwise comparison-based methods such as the analytic hierarchy process (AHP), BWM is more efficient with respect to the amount of data that has to be collected to arrive at the weights and has been shown to have a higher reliability (Rezaei, 2016). The BWM has been applied to several real-world problems in other domains including technology management (Gupta & Barua, 2016), logistics (Rezaei, van Roekel, & Tavasszy, 2018;Rezaei, van Wulfften Palthe, Tavasszy, Wiegmans, & van der Laan, 2019), supplier selection and segmentation (Haeri & Rezaei, 2019;Rezaei et al, 2015;Rezaei, Nispeling, Sarkis, & Tavasszy, 2016), assessing the quality of scientific outputs (Salimi, 2017), energy (Kheybari, Kazemi, & Rezaei, 2019), and risk management (Torabi, Giahi, & Sahebjamnia, 2016. Using BWM and the data collected from the 23 experts, we obtained the optimal weights of the indexes (w 1 * , w 2 * , …, w n * ) (see Table 5). Of the three indexes used in the study, the Democracy Index received the largest weight (0.368), and the Human Development Index (0.317) and the EPI (0.314) came second and third respectively (the sum of weights is one).…”
Section: Weighting the Indexesmentioning
confidence: 99%
“…[14] focused on port choice strategies for Qingdao, Tianjin and Dalian which are three major ports in China. [10] examined port choice in the context of port performance. This further buttresses the notion that there are underlying factors that determines port selection.…”
Section: Background Of Studymentioning
confidence: 99%