Maritime Transport Research最新文献

{"title":"Multi-objective vessel routing problems with safety considerations: A review","authors":"Nazanin Sharif ,&nbsp;Mikael Rönnqvist ,&nbsp;Jean-François Cordeau ,&nbsp;Jean-François Audy ,&nbsp;Gurjeet Warya ,&nbsp;Trung Ngo","doi":"10.1016/j.martra.2024.100122","DOIUrl":"10.1016/j.martra.2024.100122","url":null,"abstract":"<div><div>This paper provides a review of vessel route planning with a focus on safety considerations and the complexity of multi-objective decision-making processes. This complexity arises from the difficulty of finding an appropriate balance between several objectives and safety concerns, often conflicting, that adequately reflects the preferences of the decision makers. The maritime industry faces the challenge of enhancing vessel route optimization for safety, operational efficiency, and cost-effectiveness. We thus describe quantitative methods to find routes that effectively balance multiple objectives, including safety, fuel consumption, and route duration. A significant focus is on the complexity of multi-criteria decision making in this area, highlighting various methodologies for balancing the different objectives. Safety is critical in this context, involving a thorough consideration of navigational risks, environmental factors, and compliance with International Maritime Organization regulations. Specifically, we introduce quantitative approaches for integrating key safety aspects into the decision-making process, including dynamic stability, the probability of bow slamming, and the occurrence of green water.</div></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100122"},"PeriodicalIF":3.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable maritime shipping","authors":"ManWo Ng,&nbsp;Wayne K. Talley","doi":"10.1016/j.martra.2024.100121","DOIUrl":"10.1016/j.martra.2024.100121","url":null,"abstract":"","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100121"},"PeriodicalIF":3.9,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Operations Research in Maritime Logistics","authors":"Kjetil Fagerholt ,&nbsp;Frank Meisel","doi":"10.1016/j.martra.2024.100119","DOIUrl":"10.1016/j.martra.2024.100119","url":null,"abstract":"","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100119"},"PeriodicalIF":3.9,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial planning of the circular economy in uncertain times","authors":"Karel Van den Berghe ,&nbsp;Tanya Tsui ,&nbsp;Merten Nefs ,&nbsp;Giorgos Iliopoulos ,&nbsp;Chrysanthi Papadimitriou ,&nbsp;Tom Fitzgerald ,&nbsp;Thomas Bonte ,&nbsp;Aryzo Arrindell","doi":"10.1016/j.martra.2024.100120","DOIUrl":"10.1016/j.martra.2024.100120","url":null,"abstract":"<div><p>The circular economy (CE) brings many opportunities, but also many challenges for ports, cities, and their hinterland. The goal of this paper is twofold. First, we embrace the inherent uncertainty of the spatial impact of the CE on ports and cities. We employ scenario methodology to guide us in steering this uncertainty by developing four scenarios. To explore the complexity of these four scenarios, we focus on the Dutch province of South-Holland. This region hosts the port of Rotterdam, the largest port in Europe, and its direct hinterland consists of a dense urbanised region. As such, the four scenarios cannot only shed a light on the future of the port, but also how its relations with its direct urbanized hinterland can potentially change. In two scenarios deglobalisation occurs. The consequences are, on the one hand, that the port's focus changes more to its direct hinterland instead of a global oriented focus. On the other hand, the existing water bound industrial areas in, or nearby cities increase in importance, in contrast to the contemporary pressure to redevelop these into waterfront residential and commercial areas. In other words, port and city/region grow towards each other. The second goal of the paper is to dive into the specific consequences of these scenarios for day-to-day planning practices. By combining micro-economic and AIS shipping data, we discovered the most important terminals and industrial areas for the transition towards a CE in port, city, and hinterland.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100120"},"PeriodicalIF":3.9,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666822X24000182/pdfft?md5=9503f37733a04ec183298e638317aa26&pid=1-s2.0-S2666822X24000182-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Note on fuel consumption in ocean container shipping: Bounds on fuel usage","authors":"ManWo Ng","doi":"10.1016/j.martra.2024.100117","DOIUrl":"10.1016/j.martra.2024.100117","url":null,"abstract":"<div><p>This paper contributes to the literature by deriving upper and lower bounds on the fuel consumption in container shipping. The bounds are derived from sailing distances, port times, and the possible arrival times at ports/ the berth windows negotiated between the ocean carrier and the port operators. Crucially, the derived bounds can be used in conjunction with any of the common fuel consumption functions proposed in the literature. This latter is especially important since currently there is no consensus on a specific functional form for the fuel consumption function. The behavior of the bounds will be illustrated with numerical examples.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100117"},"PeriodicalIF":3.9,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666822X24000157/pdfft?md5=0e2370e1411b6fe611b25344ecaaf631&pid=1-s2.0-S2666822X24000157-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decarbonizing the Norwegian fishery fleet – strategic fleet renewal with environmental considerations","authors":"Helle Hagli Sønnervik,&nbsp;Mohamed Kais Msakni,&nbsp;Peter Schütz","doi":"10.1016/j.martra.2024.100118","DOIUrl":"10.1016/j.martra.2024.100118","url":null,"abstract":"<div><p>This study addresses the pressing need for the Norwegian fishery sector to align with national reduction targets and mitigate its environmental impact. Norway has committed to reducing GHG emissions from the fishery sector by at least 40% by 2030 and 95% by 2050. We propose a mathematical model designed for the strategic renewal of the Norwegian fishing fleet by introducing low- and zero-emission propulsion systems. This model generates fleet renewal schedules that minimize the total operational and renewal costs while ensuring compliance with emission targets. We apply our model to a case study based on the Norwegian fishing fleet and determine the optimal decarbonization strategy. We then analyze the impact of changes in energy costs and emission taxes on this strategy through a sensitivity analysis Our results indicate that (1) fleet renewal is mainly driven by the emission reduction targets, rather than economic benefits, and (2) zero-emission propulsion systems are preferable to low-emission propulsion systems when decarbonizing the fleet.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100118"},"PeriodicalIF":3.9,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666822X24000169/pdfft?md5=fe626582fed6f047b52c48a982e4cc99&pid=1-s2.0-S2666822X24000169-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying key factors influencing import container dwell time using eXplainable Artificial Intelligence","authors":"Yongjae Lee ,&nbsp;Kikun Park ,&nbsp;Hyunjae Lee ,&nbsp;Jongpyo Son ,&nbsp;Seonhwan Kim ,&nbsp;Hyerim Bae","doi":"10.1016/j.martra.2024.100116","DOIUrl":"10.1016/j.martra.2024.100116","url":null,"abstract":"<div><p>In a container terminal, the length of time that containers remain in the yard, known as Container Dwell Time (CDT), is considered one of the significant operational indicators due to its direct correlation with terminal productivity and efficiency. However, due to complex processing procedure and the involvement of various logistics stakeholders, CDT is subject to high uncertainty, making it more difficult for the terminal to manage. To address this issue, this paper presents a comprehensive framework to identify the Key Factors (KFs) influencing prolongation of CDT for import containers. In order to elucidate abnormal cases from dataset which contains yard loading information, the Process Mining (PM) method is utilized. Subsequently, XAI has been utilized to identify the KFs of import CDT. To reflect reality as closely as possible, we collected event data from a container terminal in Busan, Korea. Based on experiments, the KFs thus identified were: 1) Temperature, 2) Weight of container, 3) Voyage number of container 4) Block, 5) Shipping company, and 6) Month of discharging. To conclude, we formulated domain knowledge-based interpretations of the six most influential KFs.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100116"},"PeriodicalIF":3.9,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666822X24000145/pdfft?md5=d3194b17f90362813cf4b9447288c83e&pid=1-s2.0-S2666822X24000145-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autonomous ferries in light of labor regulations—A passenger perspective","authors":"Christian Braathen,&nbsp;Julio C. Goez,&nbsp;Mario Guajardo","doi":"10.1016/j.martra.2024.100115","DOIUrl":"10.1016/j.martra.2024.100115","url":null,"abstract":"<div><p>We study the potential effects of introducing autonomous ferries in a transportation system of water buses. We develop two integer linear programming models and a heuristic to find weekly passenger transportation plans. One model is tailored for a fleet of autonomous ferries and the other one for manually operated ferries. The objective of the models is to minimize a penalty function for unmet demand, adding up penalties on time delays with respect to the wished time of arrivals of the passengers and penalties on the assignment of passengers to alternative transportation modes. The models differ because working laws affect the crews’ working capacities, and we study the changes when these requirements are absent with autonomous ferries. Our work is motivated by the case of Bergen, a coastal city in Norway. In this case, the use of autonomous ferries has the potential to improve passengers’ utility significantly. However, we suggest that it may be beneficial to consider autonomous ferries as a complementary alternative that can operate especially in low-demand hours—a recommendation that may be particularly relevant if there are few autonomous ferries available or the ferries can only be operative for a limited number of hours of the day.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100115"},"PeriodicalIF":3.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666822X24000133/pdfft?md5=e2bbfa55878e293efbe550dd9bca70d0&pid=1-s2.0-S2666822X24000133-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refining maritime Automatic Speech Recognition by leveraging synthetic speech","authors":"Christoph Martius,&nbsp;Emin Çağatay Nakilcioğlu,&nbsp;Maximilian Reimann,&nbsp;Ole John","doi":"10.1016/j.martra.2024.100114","DOIUrl":"10.1016/j.martra.2024.100114","url":null,"abstract":"<div><p>Maritime transport serves as a critical component of global trade and logistics, enabling the movement of goods and resources across oceans and waterways. Especially in busy waterways and ports, effective and accurate communication is essential, as it ensures the seamless exchange of information and the coordinated execution of port activities. However, comprehensibility is often hindered by factors such as poor audio quality, background noise, and diverse languages and accents. Automatic Speech Recognition (ASR) systems can mitigate these issues by providing real-time transcription and enabling the implementation of automated, value-adding services to enhance situational awareness. While pre-trained ASR models excel on general speech, maritime ASR faces unique challenges due to a lack of annotated data, diverse accents, and specialized terminology.</p><p>To this end, we focus on improving the transcription quality of pre-trained ASR models for maritime communication with a particular focus on accurately recognizing maritime-specific terminology such as vessel and location names. Due to the scarcity of transcribed maritime communication, we create a synthetic training dataset tailored to regional maritime terminology. The synthetic audio is augmented with general human speech and used to fine-tune an end-to-end ASR model under various settings. The evaluation of the models employs a proprietary dataset of regional maritime radio communication from the port of Hamburg.</p><p>The experimental results demonstrate a notable enhancement in ASR performance. Specifically, our approach yields an absolute improvement over the pre-trained baseline of 13.46% Word-Error-Rate and an increase of 41.57% recall for vessel names and 38.65% recall for locations. Our findings underscore the efficacy of integrating synthetic training data to address the challenges encountered in maritime ASR, paving the way for more robust and accurate speech recognition systems tailored to maritime applications.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"7 ","pages":"Article 100114"},"PeriodicalIF":3.9,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666822X24000121/pdfft?md5=5623183d16dfc56ba1588e2a78256df6&pid=1-s2.0-S2666822X24000121-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal scheduling of maintenance dredging in a maritime transportation system","authors":"Michael Hanowsky ,&nbsp;Kenneth Ned Mitchell ,&nbsp;Keshav Kothari ,&nbsp;William Jeff Lillycrop ,&nbsp;Drew Loney","doi":"10.1016/j.martra.2024.100113","DOIUrl":"https://doi.org/10.1016/j.martra.2024.100113","url":null,"abstract":"<div><p>A maritime transportation system is a network of ports and commercial terminals connected by navigation channels and navigable inland rivers that enables international trade and the global supply chain. The channels and rivers are subject to recurring sedimentation, which reduces available depths, sailing drafts, and volumes of cargo that vessels can transport between ports. To maintain this network at sufficient depths and enable cost-effective maritime transportation, a specialized fleet of dredging vessels, or dredges, periodically remove accumulated sediment and restore capacity. Scheduling dredges to perform work requires simultaneous consideration of factors specific to the location, dredge, and underlying maritime network and, in practice, often results in significant inefficiencies and delays. Previous models proposed in the literature to optimize dredge scheduling are either intractable or consider only limited aspects of the problem. This paper defines the problem of tactical dredging portfolio scheduling, introduces the General Dredge Scheduling Model (GDSM) as a constraint programming model to solve this problem, and applies GDSM to a realistic problem composed of a portfolio of dredging jobs, fleet of dredges, and sets of seasonal and environmental restrictions.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"6 ","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666822X2400011X/pdfft?md5=7cb1c18d1727cead9d4a407b2b2945ef&pid=1-s2.0-S2666822X2400011X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141096171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}