A novel three-stage fuzzy GIS-MCDA approach to the dry port site selection problem: A case study of Shahid Rajaei Port in Iran

Raad, Nima Golghamat; Rajendran, Suchithra; Salimi, Soheila

doi:10.1016/j.cie.2022.108112

Cited by 20 publications

(7 citation statements)

References 43 publications

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“…Only in this way can we ensure smooth and convenient communication between the two sides. (5) The interaction and cooperation between seaports and dry ports are constantly changing and developing. There may be a time difference between the seaports and dry ports in the process of information transmission, resulting in delayed information transmission.…”

Section: Cooperative Performancementioning

confidence: 99%

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Performance Evaluation Model of Landport and Seaport Collaboration Using the Support Vector Machine

Xu,

Zhang,

Liang

2023

Applied Sciences

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This study delves into the pivotal role of shipper satisfaction in cultivating efficacious cooperation between dry ports and seaports. The research endeavors herein present a comprehensive indicator system tailored to evaluate the efficacy of the cooperation of the sea ports and dry ports. This system encompasses 14 key indicators, thoughtfully categorized into four dimensions, offering a holistic perspective on the multifaceted factors that underscore the synergy between dry ports and seaports. The establishment of a performance evaluation model for this collaborative nexus draws upon the support vector machine (SVM) technique, a choice substantiated by its suitability for the available dataset and its relevance within the research context. Leveraging the indicator data as a training dataset, the SVM approach culminates in the construction of a cooperative matrix, ultimately facilitating the discernment of performance rankings within dry port and seaport collaboration. This research methodology not only yields valuable insights into the evaluation of this distinct collaboration but also presents a versatile framework with potential application for addressing various challenges encountered within the cooperative milieu of dry ports and seaports.

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Section: Cooperative Performancementioning

confidence: 99%

“…The research on the location of dry ports is very mature at present. Ambrosino et al have proposed a hub location model to determine the best location of a medium-sized dry port considering the flow direction of containers in multimodal transport [5].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation Model of Landport and Seaport Collaboration Using the Support Vector Machine

Xu,

Zhang,

Liang

2023

Applied Sciences

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“…Studies between 1990 and 2004 show that MCDA and GIS usage has grown (Malczewski, 2006). When this situation comes to 2022, a perfect match is seen by adding the fuzzy feature which is frequently encountered in conformity analysis (Beshr et al, 2022;Hagos et al, 2022;Raad et al, 2022;Roy et al, 2022).…”

Section: Analytic Hierarchy Process In Multi Criteria Decision Analysismentioning

confidence: 99%

GeoValueIndex map of public property assets generating via Analytic Hierarchy Process and Geographic Information System for Mass Appraisal

Unel,

Kusak,

Yakar

2023

Aestimum

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The aim of this study is to develop a value-based GeoValueIndex with AHP weights and GIS for the criteria of the Mersin University (MEU) Çiftlikköy Campus real properties, and it is referred to as the “GeoValueIndex” in this study. GeoValueIndex is a symbolic value that combines geographic and non-geographic features of real properties. The data of the real properties on the campus were collected and arranged for mass appraisal. One of the Multi Criteria Decision Analysis (MCDA) methodologies, Analytic Hierarchy Process (AHP), was used to weight the criteria. GeoValueIndex was calculated by multiplying each parcel’s geographic and non-geographic data by their weights and adding them. GeoValueIndex Map is obtained by associating GeoValueIndex and parcel in GIS software. GeoValueIndex of real properties save time, effort, and cost in mass appraisal processes. There are many techniques for doing GeoValueIndex operations, and the ones presented in this study are only proposals.

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“…The Sulawesi corridor holds high potential in economic and social aspects and has a competitive advantage in sectors such as agriculture, marine fisheries, food crops, and trade. All of these potentials are highly prospective for promotion in both regional and international markets (Campisi et al, 2022;Chang et al, 2019;Pham & Lee, 2019;Pourmohammad-Zia et al, 2023;Raad et al, 2022;Tsao & Thanh, 2019;Wang & Peng, 2023).…”

Section: Introductionmentioning

confidence: 99%

Implementation of Dry Port: Feasibility Study in Jeneponto Regency

Amrin,

Shauqy,

Aulia

2023

j. il.adm.publik.

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This research was conducted to analyze the feasibility of Jeneponto Regency as a location for a Dry Port in South Sulawesi and the impact it has on the selection of the Dry Port location. This research used a qualitative descriptive method and SWOT analysis aimed at analyzing data such as geographic data, supporting infrastructure, economic and social aspects, regional characteristics, and local government policies regarding regional development. In addition, field surveys and interviews were conducted with relevant parties, including government agencies, private institutions, academics or practitioners, and other stakeholders. The results of this research indicate that Jeneponto Regency has the potential to be a strategic location for a Dry Port, with a recorded area of 749.79 km2. The planning for the development of the Jeneponto Regency Dry Port is located in the Bontorappo Village area, Tarowang District, with an available land area of 1.85 hectares. This region has good accessibility through the main road network and is close to the Port of Makassar, one of the busiest ports in South Sulawesi. Furthermore, the potential for economic and industrial growth in this regency also provides promising opportunities for Dry Port development. The related impacts on the selection of the Dry Port location are assessed in terms of economic impact, impact on the smooth flow of cargo handling, and impact on regional development. The SWOT analysis results indicate that the positioning falls within quadrant I, which means that the development strategy of the Dry Port in Jeneponto Regency, South Sulawesi Province, supports an aggressive growth-oriented strategy. This situation is highly advantageous for the policies to be implemented, where the strength of the strategic location for Dry Port development positively impacts the efficiency and speed of goods delivery, and the opportunities for Dry Port development will create new job opportunities and have significant economic benefits for the local area. Therefore, based on the positioning in quadrant I, the Dry Port project in Jeneponto Regency has a high potential for rapid growth.

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A novel three-stage fuzzy GIS-MCDA approach to the dry port site selection problem: A case study of Shahid Rajaei Port in Iran

Cited by 20 publications

References 43 publications

Performance Evaluation Model of Landport and Seaport Collaboration Using the Support Vector Machine

Performance Evaluation Model of Landport and Seaport Collaboration Using the Support Vector Machine

GeoValueIndex map of public property assets generating via Analytic Hierarchy Process and Geographic Information System for Mass Appraisal

Implementation of Dry Port: Feasibility Study in Jeneponto Regency

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