Pub Date : 2021-06-26DOI: 10.1080/03088839.2021.1946610
E. Doundoulakis, S. Papaefthimiou
ABSTRACT The scope of the paper is to focus on the main technical discrepancies, that is, engine load factor (LF), specific fuel oil consumption (SFOC), emissions factors (EF), included in the existing methodological approaches for calculating ships’ on-board emissions and propose a framework that will allow various stakeholders to conduct accurate air emissions calculations based on publically available operational data. A bottom-up methodology has been employed for the calculation of fuel-energy consumption and air emissions (CO2, SOx, NOx, PM10) in two major ports (Souda and Heraklion) of Crete island in Greece for passenger ferries and cruise ships for the years 2018 and 2019 and for both main and auxiliary engines of all vessels. Due to the lack of publically available technical data, the proposed methodology is based on the estimation of SFOC values through a regression analysis that leads to accurate and reliable results. The basic scenario is based on a detailed estimation of SFOC via a regression analysis applied on engine’s technical data, while the alternative approaches employ SFOC estimated through the application of specific adjustment factors and main engine power based on ship’s gross tonnage. The basic scenario results are the most accurate data while in most other cases air emissions are underestimated observing significant differences between the different methodologies.
{"title":"A comparative methodological approach for the calculation of ships air emissions and fuel-energy consumption in two major Greek ports","authors":"E. Doundoulakis, S. Papaefthimiou","doi":"10.1080/03088839.2021.1946610","DOIUrl":"https://doi.org/10.1080/03088839.2021.1946610","url":null,"abstract":"ABSTRACT The scope of the paper is to focus on the main technical discrepancies, that is, engine load factor (LF), specific fuel oil consumption (SFOC), emissions factors (EF), included in the existing methodological approaches for calculating ships’ on-board emissions and propose a framework that will allow various stakeholders to conduct accurate air emissions calculations based on publically available operational data. A bottom-up methodology has been employed for the calculation of fuel-energy consumption and air emissions (CO2, SOx, NOx, PM10) in two major ports (Souda and Heraklion) of Crete island in Greece for passenger ferries and cruise ships for the years 2018 and 2019 and for both main and auxiliary engines of all vessels. Due to the lack of publically available technical data, the proposed methodology is based on the estimation of SFOC values through a regression analysis that leads to accurate and reliable results. The basic scenario is based on a detailed estimation of SFOC via a regression analysis applied on engine’s technical data, while the alternative approaches employ SFOC estimated through the application of specific adjustment factors and main engine power based on ship’s gross tonnage. The basic scenario results are the most accurate data while in most other cases air emissions are underestimated observing significant differences between the different methodologies.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1946610","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44972835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-17DOI: 10.1080/03088839.2021.1934582
H. Qin, Xinxin Su, Guoxin Li, Xin Jin, Mingzhu Yu
ABSTRACT We study an inbound container housekeeping problem in an automated container terminal. We propose an integer programming model to characterize the problem and provide a meta-heuristic algorithm to solve it. To tackle the random factors in the future retrieval process, a simulation module is embedded in the process of evaluating the objective value. By computational experiments, we demonstrate the effectiveness and efficiency of our method. Moreover, we also conduct sensitivity analysis to examine the impacts of different algorithm parameters.
{"title":"A Simulation Based Meta-heuristic Approach for the Inbound Container Housekeeping Problem in the Automated Container Terminals","authors":"H. Qin, Xinxin Su, Guoxin Li, Xin Jin, Mingzhu Yu","doi":"10.1080/03088839.2021.1934582","DOIUrl":"https://doi.org/10.1080/03088839.2021.1934582","url":null,"abstract":"ABSTRACT We study an inbound container housekeeping problem in an automated container terminal. We propose an integer programming model to characterize the problem and provide a meta-heuristic algorithm to solve it. To tackle the random factors in the future retrieval process, a simulation module is embedded in the process of evaluating the objective value. By computational experiments, we demonstrate the effectiveness and efficiency of our method. Moreover, we also conduct sensitivity analysis to examine the impacts of different algorithm parameters.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1934582","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47855213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-16DOI: 10.1080/03088839.2021.1940334
Xiwen Bai, H. Jia, M. Xu
ABSTRACT This paper investigates how port congestion affects maritime transportation freight rates for Liquefied Petroleum Gas seaborne trade in a System Dynamics model by capturing supply and demand dynamics from the actual shipment data derived from the Automatic Identification System. The methodology enables the analysis of causal effects among the multilayered elements in the supply and demand loop of Liquefied Petroleum Gas seaborne transportation at the micro level. We find evidence of causal effect of port congestion in its severity on freight rate when the market condition is tight. Moreover, the model provides trend forecasts for freight change directions. The findings have significant implications for practitioners and policy makers.
{"title":"Port congestion and the economics of LPG seaborne transportation","authors":"Xiwen Bai, H. Jia, M. Xu","doi":"10.1080/03088839.2021.1940334","DOIUrl":"https://doi.org/10.1080/03088839.2021.1940334","url":null,"abstract":"ABSTRACT This paper investigates how port congestion affects maritime transportation freight rates for Liquefied Petroleum Gas seaborne trade in a System Dynamics model by capturing supply and demand dynamics from the actual shipment data derived from the Automatic Identification System. The methodology enables the analysis of causal effects among the multilayered elements in the supply and demand loop of Liquefied Petroleum Gas seaborne transportation at the micro level. We find evidence of causal effect of port congestion in its severity on freight rate when the market condition is tight. Moreover, the model provides trend forecasts for freight change directions. The findings have significant implications for practitioners and policy makers.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1940334","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48395065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-12DOI: 10.1080/03088839.2021.1937739
Tore Relling, M. Lützhöft, R. Ostnes, H. P. Hildre
ABSTRACT The maritime industry could face major changes the coming decade. Technology development opens for new ways of operating vessels and autonomy is argued to revolutionise design and operations. However, despite a large focus on autonomy for several years, no autonomous concepts have become operational. In our paper, we suggest an initial step towards autonomy using unmanned automated vessels. To explore this, we utilize the coherence between the systems thinking and participatory design thinking process. We frame the project to focus on the Vessel Traffic Services (VTS) traffic regulation and organisation measures in a 2025 scenario. The study shows that the standardisation of traffic would be beneficial for the present MTS with only conventional vessels, it will be a prerequisite for a future MTS with automated vessels. Further, we identify that the VTS need to change their role from solving situations ad-hoc to assume a tactical responsibility in traffic planning and to resolve situations at an earlier stage. A prototype of the future MTS shows that the identified challenges are considered possible to solve within a short time frame and is summed up in one statement from a plenary discussion: ‘this is not difficult, we could do it tomorrow’.
{"title":"The contribution of Vessel Traffic Services to safe coexistence between automated and conventional vessels","authors":"Tore Relling, M. Lützhöft, R. Ostnes, H. P. Hildre","doi":"10.1080/03088839.2021.1937739","DOIUrl":"https://doi.org/10.1080/03088839.2021.1937739","url":null,"abstract":"ABSTRACT The maritime industry could face major changes the coming decade. Technology development opens for new ways of operating vessels and autonomy is argued to revolutionise design and operations. However, despite a large focus on autonomy for several years, no autonomous concepts have become operational. In our paper, we suggest an initial step towards autonomy using unmanned automated vessels. To explore this, we utilize the coherence between the systems thinking and participatory design thinking process. We frame the project to focus on the Vessel Traffic Services (VTS) traffic regulation and organisation measures in a 2025 scenario. The study shows that the standardisation of traffic would be beneficial for the present MTS with only conventional vessels, it will be a prerequisite for a future MTS with automated vessels. Further, we identify that the VTS need to change their role from solving situations ad-hoc to assume a tactical responsibility in traffic planning and to resolve situations at an earlier stage. A prototype of the future MTS shows that the identified challenges are considered possible to solve within a short time frame and is summed up in one statement from a plenary discussion: ‘this is not difficult, we could do it tomorrow’.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1937739","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44356623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-12DOI: 10.1080/03088839.2021.1934583
Minh-Anh Thi Nguyen, Ming‐Miin Yu, T. Lirn
ABSTRACT The recent capacity expansion, the pressure to fully utilize capacity, and the increasingly intense competition among cruise companies have greatly challenged revenue management in the cruise industry. Despite the constant efforts to optimize all revenue streams, cruise companies have gained a limited understanding of their revenue efficiency and untapped revenue potential. Within this context, the present study adopts a two-stage data envelopment analysis (DEA) approach applied to the data set of 181 cruise ships in 2018 to examine revenue efficiency and its drivers in the cruise industry. The results reveal that the cruise ships generally have forgone a considerable amount of potential revenues, indicating a necessity for revisiting revenue strategies. Furthermore, the study sheds light on the connection between the cruise ship’s revenue efficiency and its features, cruise category, and exogenous events. Finally, some managerial implications for improving and maintaining revenue efficiency are provided.
{"title":"Revenue efficiency and its drivers in the cruise industry","authors":"Minh-Anh Thi Nguyen, Ming‐Miin Yu, T. Lirn","doi":"10.1080/03088839.2021.1934583","DOIUrl":"https://doi.org/10.1080/03088839.2021.1934583","url":null,"abstract":"ABSTRACT The recent capacity expansion, the pressure to fully utilize capacity, and the increasingly intense competition among cruise companies have greatly challenged revenue management in the cruise industry. Despite the constant efforts to optimize all revenue streams, cruise companies have gained a limited understanding of their revenue efficiency and untapped revenue potential. Within this context, the present study adopts a two-stage data envelopment analysis (DEA) approach applied to the data set of 181 cruise ships in 2018 to examine revenue efficiency and its drivers in the cruise industry. The results reveal that the cruise ships generally have forgone a considerable amount of potential revenues, indicating a necessity for revisiting revenue strategies. Furthermore, the study sheds light on the connection between the cruise ship’s revenue efficiency and its features, cruise category, and exogenous events. Finally, some managerial implications for improving and maintaining revenue efficiency are provided.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1934583","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43730324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-08DOI: 10.1080/03088839.2021.1925988
Huiling Zhong, Yishu Lin, T. Yip
ABSTRACT To mitigate risk and enhance safety in oil ports, this study proposes a method to analyse the civil liability risk and criminal liability risk of oil spills in oil ports. Based on scenario analysis and data analysis, the probability, spill size, number of casualties, actual compensation and total spill cost are estimated for different scenarios, including loading arm/hose rupture and hull failure when a vessel is berthing, manoeuvring near a berth and moving through the port. Based on these estimated factors and legal liability, the civil liability risk and criminal liability risk borne by oil ports and ship owners are estimated. Finally, data from an oil terminal in the Guangdong-Hong Kong-Macao Greater Bay Area are used to verify the applicability of the proposed method. The estimated probability and corresponding consequences can be used to determine which scenario would result in criminal liability and provide a reference for emergency capacity planning. The estimated risks are useful for loss mitigation and crime prevention. The findings and analysis reveal the current low compensation ratio and the inconsistency in criminal standards for oil spills in China. Therefore, the enforcement of civil compensation and unity among criminal standards should be prioritized.
{"title":"A quantitative liability risk assessment of oil spills in oil ports: the case of the Guangdong-Hong Kong-Macao Greater Bay Area","authors":"Huiling Zhong, Yishu Lin, T. Yip","doi":"10.1080/03088839.2021.1925988","DOIUrl":"https://doi.org/10.1080/03088839.2021.1925988","url":null,"abstract":"ABSTRACT To mitigate risk and enhance safety in oil ports, this study proposes a method to analyse the civil liability risk and criminal liability risk of oil spills in oil ports. Based on scenario analysis and data analysis, the probability, spill size, number of casualties, actual compensation and total spill cost are estimated for different scenarios, including loading arm/hose rupture and hull failure when a vessel is berthing, manoeuvring near a berth and moving through the port. Based on these estimated factors and legal liability, the civil liability risk and criminal liability risk borne by oil ports and ship owners are estimated. Finally, data from an oil terminal in the Guangdong-Hong Kong-Macao Greater Bay Area are used to verify the applicability of the proposed method. The estimated probability and corresponding consequences can be used to determine which scenario would result in criminal liability and provide a reference for emergency capacity planning. The estimated risks are useful for loss mitigation and crime prevention. The findings and analysis reveal the current low compensation ratio and the inconsistency in criminal standards for oil spills in China. Therefore, the enforcement of civil compensation and unity among criminal standards should be prioritized.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1925988","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43432311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-08DOI: 10.1080/03088839.2021.1937741
Jia-Wen Zheng, Lingxiao Yang, Wei Li, Xiaowen Fu, Daqing Li
ABSTRACT Most of the Southeast Asian countries are developing economies that have large demand for maritime infrastructures. Some but not all the ports in this region could significantly benefit from and contribute to the Belt and Road Initiative (BRI) proposed by the Chinese government. This paper models the port investment priority in the Southeast Asian region, so that efficient and sustainable investments can be made under the BRI. Based on the link prediction theory, a random walk method is proposed to assess the priorities of port construction projects at different sites. The proposed method explicitly considers important economic and political factors, especially those linking Southeast Asian countries with China. Our model is calibrated and verified with numerical experiments, so that policy and managerial recommendations can be obtained for this region. Results consistent with industry reality also provide supports to the validity of the model. This study introduces a new dimension of investment planning for multiple ports taking into account the resultant impacts on shipping networks, and recommends selected port construction sites with good potential in Southeast Asia.
{"title":"Priority analysis of port investment along the 21st-Century Maritime Silk Road region: the case of Southeast Asia","authors":"Jia-Wen Zheng, Lingxiao Yang, Wei Li, Xiaowen Fu, Daqing Li","doi":"10.1080/03088839.2021.1937741","DOIUrl":"https://doi.org/10.1080/03088839.2021.1937741","url":null,"abstract":"ABSTRACT Most of the Southeast Asian countries are developing economies that have large demand for maritime infrastructures. Some but not all the ports in this region could significantly benefit from and contribute to the Belt and Road Initiative (BRI) proposed by the Chinese government. This paper models the port investment priority in the Southeast Asian region, so that efficient and sustainable investments can be made under the BRI. Based on the link prediction theory, a random walk method is proposed to assess the priorities of port construction projects at different sites. The proposed method explicitly considers important economic and political factors, especially those linking Southeast Asian countries with China. Our model is calibrated and verified with numerical experiments, so that policy and managerial recommendations can be obtained for this region. Results consistent with industry reality also provide supports to the validity of the model. This study introduces a new dimension of investment planning for multiple ports taking into account the resultant impacts on shipping networks, and recommends selected port construction sites with good potential in Southeast Asia.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1937741","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42930053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-07DOI: 10.1080/03088839.2021.1937740
Qing-wei Liao, Hong Zhen, Dequan Zhou
ABSTRACT Maritime clusters are conducive to promoting the development of an urban economy and maritime industry. The development of high value-added maritime industry is beneficial to upgrading a maritime cluster and improving its competitiveness. We discuss the symbiosis between ports and various value-added industries within a maritime cluster from a resource perspective, using the theory of life cycle and value chain, in order to answer the question: what role does the port play in the upgrading of maritime clusters? An empirical analysis of Dalian, China, was conducted using the Lotka-Volterra model. Our results show that resources were attracted by ports to promote the shipping industry and marine insurance in the non-decline period (NDP) of the cluster. During the declining period (DP) of the cluster, port development led to intensified resource competition and lock-in effects, destabilizing the relationships within maritime industries. Strengthening inter-industry cooperation, increasing market openness, and granting supportive policies to enterprises may rectify this decline. This study provides a reference for managers and researchers to aid in promoting the coordinated development and upgrade of maritime clusters.
{"title":"A study on the industrial symbiosis in maritime cluster considering value chain and life cycle – case of Dalian, China","authors":"Qing-wei Liao, Hong Zhen, Dequan Zhou","doi":"10.1080/03088839.2021.1937740","DOIUrl":"https://doi.org/10.1080/03088839.2021.1937740","url":null,"abstract":"ABSTRACT Maritime clusters are conducive to promoting the development of an urban economy and maritime industry. The development of high value-added maritime industry is beneficial to upgrading a maritime cluster and improving its competitiveness. We discuss the symbiosis between ports and various value-added industries within a maritime cluster from a resource perspective, using the theory of life cycle and value chain, in order to answer the question: what role does the port play in the upgrading of maritime clusters? An empirical analysis of Dalian, China, was conducted using the Lotka-Volterra model. Our results show that resources were attracted by ports to promote the shipping industry and marine insurance in the non-decline period (NDP) of the cluster. During the declining period (DP) of the cluster, port development led to intensified resource competition and lock-in effects, destabilizing the relationships within maritime industries. Strengthening inter-industry cooperation, increasing market openness, and granting supportive policies to enterprises may rectify this decline. This study provides a reference for managers and researchers to aid in promoting the coordinated development and upgrade of maritime clusters.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1937740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47138182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-05DOI: 10.1080/03088839.2021.1937743
Gang Dong, Jin Li
ABSTRACT With the promotion of mode cooperation and integration in international trade transport in the context of intense globalization, vertical integration between container ports and liners, two key players in container transport chains, often leads to horizontal collusion between container ports. By establishing an infinitely repeated game with discrete time periods, this paper explores the interrelation, the possibility and the stability of the coexistence between vertical integration and horizontal collusion. Our primary finding is that vertical integration and horizontal collusion have mutually reinforcing effects. In particular, the former results in an increase in shippers’ surplus at the expense of the latter.
{"title":"Does vertical integration lead to horizontal collusion in container transport chains?","authors":"Gang Dong, Jin Li","doi":"10.1080/03088839.2021.1937743","DOIUrl":"https://doi.org/10.1080/03088839.2021.1937743","url":null,"abstract":"ABSTRACT With the promotion of mode cooperation and integration in international trade transport in the context of intense globalization, vertical integration between container ports and liners, two key players in container transport chains, often leads to horizontal collusion between container ports. By establishing an infinitely repeated game with discrete time periods, this paper explores the interrelation, the possibility and the stability of the coexistence between vertical integration and horizontal collusion. Our primary finding is that vertical integration and horizontal collusion have mutually reinforcing effects. In particular, the former results in an increase in shippers’ surplus at the expense of the latter.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1937743","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44377856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-04DOI: 10.1080/03088839.2021.1930225
Xu Xin, Xiaoli Wang, Lijun Ma, Kang Chen, Maoyao Ye
ABSTRACT Since the proposal of the Belt and Road initiative in March 2015, the Chinese government has continued to increase its investment in transportation infrastructure construction in West African countries. To realize the scientific decision-making process for large-scale investment, this paper establishes a shipping network design–infrastructure investment joint optimization model. The abovementioned model aims to find the minimum generalized transportation cost in the study area and jointly optimizes the construction scheme of the regional inland transportation network (i.e., railway network), the expansion scheme of the port (i.e., container port) throughput capacity, and the operation scheme of the shipping network (i.e., container shipping network) given a limited budget. Based on the framework of the active set algorithm, an algorithm that can explore the local optimal solution of the abovementioned model is designed. Taking China–West Africa transportation as the research object, numerical experiments are carried out to verify the effectiveness of the model and algorithm. Two types of sensitivity analyses for different investment scales and origin-destination demand are designed. The results show that the proposed model and algorithm can effectively solve the abovementioned problem and can provide decision-making support for the Chinese government in formulating reasonable investment schemes for West Africa. This paper is a revised and expanded version of a paper entitled, ‘Shipping network design–infrastructure investment joint optimization model’ presented at the 3rd International Conference of the Yangtze River Research and Innovation Belt, Ningbo, China; 5–7 November 2020.
{"title":"Shipping network design–infrastructure investment joint optimization model: a case study of West Africa","authors":"Xu Xin, Xiaoli Wang, Lijun Ma, Kang Chen, Maoyao Ye","doi":"10.1080/03088839.2021.1930225","DOIUrl":"https://doi.org/10.1080/03088839.2021.1930225","url":null,"abstract":"ABSTRACT Since the proposal of the Belt and Road initiative in March 2015, the Chinese government has continued to increase its investment in transportation infrastructure construction in West African countries. To realize the scientific decision-making process for large-scale investment, this paper establishes a shipping network design–infrastructure investment joint optimization model. The abovementioned model aims to find the minimum generalized transportation cost in the study area and jointly optimizes the construction scheme of the regional inland transportation network (i.e., railway network), the expansion scheme of the port (i.e., container port) throughput capacity, and the operation scheme of the shipping network (i.e., container shipping network) given a limited budget. Based on the framework of the active set algorithm, an algorithm that can explore the local optimal solution of the abovementioned model is designed. Taking China–West Africa transportation as the research object, numerical experiments are carried out to verify the effectiveness of the model and algorithm. Two types of sensitivity analyses for different investment scales and origin-destination demand are designed. The results show that the proposed model and algorithm can effectively solve the abovementioned problem and can provide decision-making support for the Chinese government in formulating reasonable investment schemes for West Africa. This paper is a revised and expanded version of a paper entitled, ‘Shipping network design–infrastructure investment joint optimization model’ presented at the 3rd International Conference of the Yangtze River Research and Innovation Belt, Ningbo, China; 5–7 November 2020.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1930225","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48171182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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