Evaluating the performance of highway concessions through public-private partnerships using a fuzzy multi-criteria decision-making procedure

Silveira-Santos, Tulio; Portugal, Licínio da Silva; Ribeiro, Paulo Cezar Martins

doi:10.1016/j.trip.2021.100399

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…(Tukan et al, 2020) regarding a decision support system for determining the location of floating docks in the Maluku Islands using AHP-TOPSIS. (Amelia, Lathifah, and Yasa, 2021;Santos, Portugal, and Ribeiro, 2021) on evaluating the performance of highway concessions through public-private partnerships using a fuzzy multi-criteria decision-making procedure. (Xu et al, 2022), (Goodarzi, Abdollahzadeh, and Zeinalnezhad, 2022) on risk assessment for environmentally friendly integrated energy systems using Fuzzy MCDM.…”

Section: Figure 1 Voyage Pattern Of Ships In Malukumentioning

confidence: 99%

Modeling of Ship Sailing Patterns in Maluku to Support the Sea Highway

Tukan,

Esmail,

Hozairi

et al. 2024

IJTech

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The low level of the ships' load factor (LF) in the Maluku archipelago region can be attributed to the lack of compatibility between ship loads and the available cargo potential in the region. Therefore, the implementation of an optimal sailing pattern is required. The sailing pattern of the ship can be optimal if it can carry cargo according to the available potential because this circumstance can improve sailing efficiency. The purpose of this study is to determine the optimal sailing pattern according to the potential of the Maluku region to support the maritime highway program in Maluku. Firstly, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM) was used to determine the optimal model of ship operating patterns in the Maluku archipelago region. Secondly, a time series correlation analysis was conducted to identify patterns and correlations among the data. This analysis provides insights into the relationships between different variables over time. Thirdly, another analysis was performed using the Cobb-Douglas production theory to identify the influencing variables on the number of ship visits (Call), ship deadweight tonnage (DWT), and ship cargo potential (QS). The results show that the selection of the best ship operating pattern using the recommended Fuzzy MADM method is a mixed sailing pattern, namely regular and tramper sailing. In addition, increasing the productivity of QS_R+T and DWT ships will have a positive effect on ship visits in a certain time unit. If the potential growth of positive cargo QS_R+T > Call and DWT, then it is important to build new ships with optimal DWT so as to increase ship efficiency in supporting the maritime highway program. This research provides a significant contribution to the development of an efficient and sustainable national logistics system, as well as being a policy reference for decision-making related to the sailing pattern and the development of the maritime highway program in Maluku.

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Section: Figure 1 Voyage Pattern Of Ships In Malukumentioning

confidence: 99%

Modeling of Ship Sailing Patterns in Maluku to Support the Sea Highway

Tukan,

Esmail,

Hozairi

et al. 2024

IJTech

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“…In particular, major road transportation infrastructures are built and normally maintained and improved by private companies. In Malaysia, most of the highways are developed with the concession model or turnkey projects where the private companies become the concessionaires for the agreed concession duration before the entire infrastructure is returned to the public [1]. This is also known as the build-operate-transfer agreement [2].…”

Section: Introductionmentioning

confidence: 99%

Evaluation on the performance of highway companies using goal programming model

Siew¹,

Lee²,

Lam³

2023

E3S Web of Conf.

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Highway companies engage in projects with governments through the concession model in which the governments’ aim is in fulfilling public interest while the highway companies aim to increase their financial stability. However, highway companies face various operational risks that would impede their financial excellency. Therefore, this paper aims to assess the financial performances of the highway companies with the goal programming (GP) model. The GP model is a powerful tool in solving multi-objective issues. This paper studies the listed highway companies, namely LITRAK, TALIWRK, and EDGENTA from 2017 to 2022 using financial data. Based on the optimal solution of GP model, all three companies have reached the goals for assets, equities, and optimum management items. LITRAK, TALIWRK, and EDGENTA have underachievement for the goal of liability management. The GP model has identified the potential improvements for these highway companies for further improvement based on the benchmark values.

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