Freight transportation modeling represents the economic demand for moving goods across spatial networks. Traditional models often treat transportation mode and destination choice as separate processes. This paper introduces an innovative framework that synthesizes a joint choice structure with a novel, supply-chain-based methodology, an approach underutilized in freight modeling. The core methodological innovation is the use of national input-output accounts to identify specific consumer industries, allowing for a more behaviorally-grounded analysis of destination attractiveness for different commodity groups. Using U.S. Commodity Flow Survey (CFS) data, two multinomial logit models were developed: one for destination choice and another for joint destination-mode choice, across three goods categories. This study also provides a direct empirical comparison in the freight context, with results revealing that the integrated model improves prediction accuracy by approximately 7 % compared to destination-only models. The findings confirm the value of this synthesized approach, which provides a more comprehensive and behaviorally sound tool for freight demand estimation.
{"title":"Advancing freight demand prediction: Unified destination and mode choice models in extra-urban transportation","authors":"Shahriar Afandizadeh , Amin Akhoundi , Hamid Mirzahossein","doi":"10.1016/j.ajsl.2025.09.002","DOIUrl":"10.1016/j.ajsl.2025.09.002","url":null,"abstract":"<div><div>Freight transportation modeling represents the economic demand for moving goods across spatial networks. Traditional models often treat transportation mode and destination choice as separate processes. This paper introduces an innovative framework that synthesizes a joint choice structure with a novel, supply-chain-based methodology, an approach underutilized in freight modeling. The core methodological innovation is the use of national input-output accounts to identify specific consumer industries, allowing for a more behaviorally-grounded analysis of destination attractiveness for different commodity groups. Using U.S. Commodity Flow Survey (CFS) data, two multinomial logit models were developed: one for destination choice and another for joint destination-mode choice, across three goods categories. This study also provides a direct empirical comparison in the freight context, with results revealing that the integrated model improves prediction accuracy by approximately 7 % compared to destination-only models. The findings confirm the value of this synthesized approach, which provides a more comprehensive and behaviorally sound tool for freight demand estimation.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 4","pages":"Pages 195-204"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.ajsl.2025.09.003
Habibi Palippui , Daniel Mohammad Rosyid , Silvianita , Juswan Sade
Digital Logistics Anomaly Management Systems (DLAMS) have become a critical infrastructure in modern supply chain operations, enabling the real-time monitoring and management of anomalies through the integration of technologies such as the Internet of Things (IoT), machine learning, and big data analytics. This paper presents a structured and systematic bibliometric analysis to trace the evolution of DLAMS research by examining 89 Scopus-indexed articles published between 2009 and 2023. Utilizing VOSviewer and Publish or Perish tools, this study identified eight major thematic clusters, 142 topic interconnections, and the growing importance of intelligent systems in anomaly detection. The findings reveal a significant shift from traditional logistics monitoring to data-driven and technologically advanced frameworks, with recent attention to intrusion detection, medical logistics applications, and cross-disciplinary integration. The analysis also uncovered key research gaps, particularly in real-world implementation and sector-specific applications, while proposing a research framework that connects technical progress with broader academic and policy implications. This study contributes to mapping the intellectual landscape of DLAMS and shapes future research directions in digital logistics anomaly management.
数字物流异常管理系统（drams）已成为现代供应链运营的关键基础设施，通过物联网（IoT）、机器学习和大数据分析等技术的集成，实现对异常的实时监控和管理。本文通过对2009年至2023年间发表的89篇以scopus为索引的论文进行结构化和系统的文献计量分析，以追踪DLAMS研究的演变。利用VOSviewer和Publish or Perish工具，本研究确定了8个主要的主题集群，142个主题互连，以及智能系统在异常检测中的重要性日益增加。调查结果显示，从传统的物流监控到数据驱动和技术先进框架的重大转变，最近关注入侵检测、医疗物流应用和跨学科整合。该分析还揭示了关键的研究差距，特别是在现实世界的实施和特定部门的应用方面，同时提出了一个将技术进步与更广泛的学术和政策影响联系起来的研究框架。本研究有助于绘制数字物流异常管理的知识版图，并塑造未来数字物流异常管理的研究方向。
{"title":"Digital logistics anomaly management systems (DLAMS): A bibliometric analysis and research framework","authors":"Habibi Palippui , Daniel Mohammad Rosyid , Silvianita , Juswan Sade","doi":"10.1016/j.ajsl.2025.09.003","DOIUrl":"10.1016/j.ajsl.2025.09.003","url":null,"abstract":"<div><div>Digital Logistics Anomaly Management Systems (DLAMS) have become a critical infrastructure in modern supply chain operations, enabling the real-time monitoring and management of anomalies through the integration of technologies such as the Internet of Things (IoT), machine learning, and big data analytics. This paper presents a structured and systematic bibliometric analysis to trace the evolution of DLAMS research by examining 89 Scopus-indexed articles published between 2009 and 2023. Utilizing VOSviewer and Publish or Perish tools, this study identified eight major thematic clusters, 142 topic interconnections, and the growing importance of intelligent systems in anomaly detection. The findings reveal a significant shift from traditional logistics monitoring to data-driven and technologically advanced frameworks, with recent attention to intrusion detection, medical logistics applications, and cross-disciplinary integration. The analysis also uncovered key research gaps, particularly in real-world implementation and sector-specific applications, while proposing a research framework that connects technical progress with broader academic and policy implications. This study contributes to mapping the intellectual landscape of DLAMS and shapes future research directions in digital logistics anomaly management.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 4","pages":"Pages 205-215"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.ajsl.2025.07.001
David King Boison , Musah Osumanu Doumbia , Ahmed Antwi-Boampong , Frank Senyo Loglo , Ebenezer Malcalm
This study explores the application of blockchain (BC) technology in enhancing terminal operations at West African seaports, with a specific focus on Tema Port in Ghana. The purpose is to address inefficiencies in cargo processing, traceability, and data integrity that often impede port performance. Using a multi-layered qualitative approach, including observation and value stream mapping, the study examines current operational challenges at Tema Port and proposes a BC adoption model tailored to ship operations, quay transfers, yard management, container freight stations, and receipt/delivery processes. The findings suggest that BC technology significantly improves transparency, operational efficiency, and data security across port processes, offering a unified ledger system accessible to all stakeholders. Based on these findings, the study recommends a phased BC implementation, beginning with targeted pilot programs to mitigate technological and infrastructural constraints common in developing regions. Implications for port managers, policymakers, and academics underscore BC’s potential to reduce operational costs, enhance real-time visibility, and improve compliance in port logistics. This study is limited by its focus on terminal operations at a single port; future research could explore BC’s impact on other areas of the maritime supply chain across multiple ports. The originality of this study lies in its contextualized BC model for West African ports, addressing specific challenges faced by developing regions and offering a foundational framework for future BC applications in logistics.
{"title":"Block chain ready port terminal operations using distributed ledger","authors":"David King Boison , Musah Osumanu Doumbia , Ahmed Antwi-Boampong , Frank Senyo Loglo , Ebenezer Malcalm","doi":"10.1016/j.ajsl.2025.07.001","DOIUrl":"10.1016/j.ajsl.2025.07.001","url":null,"abstract":"<div><div>This study explores the application of blockchain (BC) technology in enhancing terminal operations at West African seaports, with a specific focus on Tema Port in Ghana. The purpose is to address inefficiencies in cargo processing, traceability, and data integrity that often impede port performance. Using a multi-layered qualitative approach, including observation and value stream mapping, the study examines current operational challenges at Tema Port and proposes a BC adoption model tailored to ship operations, quay transfers, yard management, container freight stations, and receipt/delivery processes. The findings suggest that BC technology significantly improves transparency, operational efficiency, and data security across port processes, offering a unified ledger system accessible to all stakeholders. Based on these findings, the study recommends a phased BC implementation, beginning with targeted pilot programs to mitigate technological and infrastructural constraints common in developing regions. Implications for port managers, policymakers, and academics underscore BC’s potential to reduce operational costs, enhance real-time visibility, and improve compliance in port logistics. This study is limited by its focus on terminal operations at a single port; future research could explore BC’s impact on other areas of the maritime supply chain across multiple ports. The originality of this study lies in its contextualized BC model for West African ports, addressing specific challenges faced by developing regions and offering a foundational framework for future BC applications in logistics.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 4","pages":"Pages 177-186"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.ajsl.2025.10.001
Francis Kamewor Tetteh , Kwame Owusu Kwateng , Tesfalidet Tukue , John Mensah , Derrick Delali Atiase
The logistics industry is among the top threats to the sustainability despite its valuable contribution to trade and growth. Despite previous efforts on the impact of logistics performance (LP), its role in driving sustainability within the transport sector is less discussed. Also, while it is generally anticipated that the impact of LP may vary depending on the levels of economic development, there has been no empirical study in this regard. This study therefore attempts to bridge these gaps by comparing between less developed economies; Sub-Saharan Africa (SSA) and developed economies (OECD). Panel dataset between 2007 and 2018 for 24 SSA countries and 34 OECD economies. The Generalized Method of Moments estimators were employed and findings showed a positive effect of logistic efficiency on transport sustainability. The findings revealed no significant variation within the economies. Even though the gravity of the effect remain higher in SSA, LP was found to worsen transport sustainability in both economies. Additionally, we noted only the timeliness of logistics service out of the six (6) sub-dimensions of LP significantly increases CO2 from transport. The findings offers a compelling insight which contradicts conventional wisdom that situations in advanced economies are always highly better. Practically, the findings implies that, regardless of the level of development in the economy, supply chain or logistics activities continue to be far from de-carbonization in both economies. Governments must therefore double efforts towards decarbonizing of modern supply chains though green logistics, if the Net Zero Emission target of 2025 is to be achieved.
{"title":"Effect of logistics performance on transport environmental quality: Comparative insight from Sub-Saharan Africa and OECD markets","authors":"Francis Kamewor Tetteh , Kwame Owusu Kwateng , Tesfalidet Tukue , John Mensah , Derrick Delali Atiase","doi":"10.1016/j.ajsl.2025.10.001","DOIUrl":"10.1016/j.ajsl.2025.10.001","url":null,"abstract":"<div><div>The logistics industry is among the top threats to the sustainability despite its valuable contribution to trade and growth. Despite previous efforts on the impact of logistics performance (LP), its role in driving sustainability within the transport sector is less discussed. Also, while it is generally anticipated that the impact of LP may vary depending on the levels of economic development, there has been no empirical study in this regard. This study therefore attempts to bridge these gaps by comparing between less developed economies; Sub-Saharan Africa (SSA) and developed economies (OECD). Panel dataset between 2007 and 2018 for 24 SSA countries and 34 OECD economies. The Generalized Method of Moments estimators were employed and findings showed a positive effect of logistic efficiency on transport sustainability. The findings revealed no significant variation within the economies. Even though the gravity of the effect remain higher in SSA, LP was found to worsen transport sustainability in both economies. Additionally, we noted only the timeliness of logistics service out of the six (6) sub-dimensions of LP significantly increases CO2 from transport. The findings offers a compelling insight which contradicts conventional wisdom that situations in advanced economies are always highly better. Practically, the findings implies that, regardless of the level of development in the economy, supply chain or logistics activities continue to be far from de-carbonization in both economies. Governments must therefore double efforts towards decarbonizing of modern supply chains though green logistics, if the Net Zero Emission target of 2025 is to be achieved.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 4","pages":"Pages 216-227"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.ajsl.2025.09.001
Yue Zhang , Nianjie Shang , Yanting Liu , Chao Zhang , Lu Jin
This study conducts an empirical analysis of the driving factors and development trends of China-Korea bilateral trade from the perspective of logistics, using IBM SPSS Statistics 27 for data processing and modeling. Based on annual panel data from 2013 to 2022, a multidimensional dataset of 18 core economic indicators was constructed, encompassing variables such as import and export volumes, logistics scale, enterprise expenditures, labor structure, exchange rates, and investment. To reduce dimensionality and address multicollinearity, a correlation analysis was first conducted to identify 9 key variables with strong explanatory power. Principal Component Analysis was then applied, extracting five principal components that effectively captured the underlying structure of the dataset. These components were used as independent variables in a principal component regression model to predict the China-Korea bilateral trade volume. Among them, the component representing Korea’s logistics industry scale and transportation efficiency (PC1) had the most significant positive impact on trade, highlighting the critical role of logistics in enhancing trade intensity and sustaining bilateral growth. The regression model exhibited strong goodness-of-fit and low prediction errors, through structural modeling and trend-based forecasting, this study confirms the foundational role of Korea’s logistics system in supporting bilateral trade and provides quantitative insights and policy-oriented recommendations for future China-Korea economic cooperation.
{"title":"Logistics scale as trade catalyst: Principal component analysis of China-Korea bilateral trade drivers","authors":"Yue Zhang , Nianjie Shang , Yanting Liu , Chao Zhang , Lu Jin","doi":"10.1016/j.ajsl.2025.09.001","DOIUrl":"10.1016/j.ajsl.2025.09.001","url":null,"abstract":"<div><div>This study conducts an empirical analysis of the driving factors and development trends of China-Korea bilateral trade from the perspective of logistics, using IBM SPSS Statistics 27 for data processing and modeling. Based on annual panel data from 2013 to 2022, a multidimensional dataset of 18 core economic indicators was constructed, encompassing variables such as import and export volumes, logistics scale, enterprise expenditures, labor structure, exchange rates, and investment. To reduce dimensionality and address multicollinearity, a correlation analysis was first conducted to identify 9 key variables with strong explanatory power. Principal Component Analysis was then applied, extracting five principal components that effectively captured the underlying structure of the dataset. These components were used as independent variables in a principal component regression model to predict the China-Korea bilateral trade volume. Among them, the component representing Korea’s logistics industry scale and transportation efficiency (PC1) had the most significant positive impact on trade, highlighting the critical role of logistics in enhancing trade intensity and sustaining bilateral growth. The regression model exhibited strong goodness-of-fit and low prediction errors, through structural modeling and trend-based forecasting, this study confirms the foundational role of Korea’s logistics system in supporting bilateral trade and provides quantitative insights and policy-oriented recommendations for future China-Korea economic cooperation.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 4","pages":"Pages 187-194"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.ajsl.2025.06.003
Ming-Jiu Hwang, Ya-Pei Huang
The Asian region has become the world's manufacturing hub due to its cost advantages, driving the development of container transportation. Recently, enterprises have favored Southeast Asia for its demographic dividend and geographical benefits. The relationships between ports are complex, and their roles are evolving. This study introduces a container port and network analysis model to explore the features of container ports and networks in Southeast Asia. Using actual route and port data, it proposes three performance indicators: Annualized Slot Capacity (ASC), Equipment Utilization, and Terminal Productivity. Social Network Analysis (SNA) and Principal Component Analysis (PCA) are used to develop a suitable port connectivity indicator for Southeast Asia, analyzing changes from 2020 to 2022. The study also categorizes and analyzes the characteristics of the Southeast Asian shipping network based on vessel types and includes Kaohsiung Port in the analysis for a comprehensive comparison. The findings show that the proposed port connectivity ranking differs from the LSCI, which focuses on traffic flow, due to differing indicator aspects. Some ports excel in specific networks based on vessel types. From 2020 to 2022, Vietnamese ports showed steady growth in regional networks, while Kaohsiung Port declined, needing to enhance regional cooperation and competitiveness.
{"title":"Exploring container port connectivity in Southeast Asia: An integrated assessment approach","authors":"Ming-Jiu Hwang, Ya-Pei Huang","doi":"10.1016/j.ajsl.2025.06.003","DOIUrl":"10.1016/j.ajsl.2025.06.003","url":null,"abstract":"<div><div>The Asian region has become the world's manufacturing hub due to its cost advantages, driving the development of container transportation. Recently, enterprises have favored Southeast Asia for its demographic dividend and geographical benefits. The relationships between ports are complex, and their roles are evolving. This study introduces a container port and network analysis model to explore the features of container ports and networks in Southeast Asia. Using actual route and port data, it proposes three performance indicators: Annualized Slot Capacity (ASC), Equipment Utilization, and Terminal Productivity. Social Network Analysis (SNA) and Principal Component Analysis (PCA) are used to develop a suitable port connectivity indicator for Southeast Asia, analyzing changes from 2020 to 2022. The study also categorizes and analyzes the characteristics of the Southeast Asian shipping network based on vessel types and includes Kaohsiung Port in the analysis for a comprehensive comparison. The findings show that the proposed port connectivity ranking differs from the LSCI, which focuses on traffic flow, due to differing indicator aspects. Some ports excel in specific networks based on vessel types. From 2020 to 2022, Vietnamese ports showed steady growth in regional networks, while Kaohsiung Port declined, needing to enhance regional cooperation and competitiveness.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 3","pages":"Pages 139-152"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.ajsl.2025.06.002
S. June Kim
The Korean shipping industry, which had been striving to recover from the Asian Financial Crisis, underwent significant quantitative expansion between 2004 and 2008. This growth was largely fueled by the so-called “China Effect,” which generated a global shipping boom, during which an average of 20 new ocean-going shipping companies were founded annually in Korea. However, the waning of the China Effect in 2008, compounded by the global financial crisis, triggered a renewed downturn in the industry. Drawing on previously unreleased application data submitted to the Korea Shipowners’ Association, this paper analyzes the dynamics and characteristics of Korea’s shipping boom during the China-led surge and examines the industry's response to the subsequent crisis between 2008 and 2010. The findings shed light on the structural factors behind Korea’s emergence as a global maritime power and provide a historical foundation for future quantitative research on post-2010 developments.
{"title":"The impact of the China effect and global financial crisis on Korea’s shipping industry, 2004–2010","authors":"S. June Kim","doi":"10.1016/j.ajsl.2025.06.002","DOIUrl":"10.1016/j.ajsl.2025.06.002","url":null,"abstract":"<div><div>The Korean shipping industry, which had been striving to recover from the Asian Financial Crisis, underwent significant quantitative expansion between 2004 and 2008. This growth was largely fueled by the so-called “China Effect,” which generated a global shipping boom, during which an average of 20 new ocean-going shipping companies were founded annually in Korea. However, the waning of the China Effect in 2008, compounded by the global financial crisis, triggered a renewed downturn in the industry. Drawing on previously unreleased application data submitted to the Korea Shipowners’ Association, this paper analyzes the dynamics and characteristics of Korea’s shipping boom during the China-led surge and examines the industry's response to the subsequent crisis between 2008 and 2010. The findings shed light on the structural factors behind Korea’s emergence as a global maritime power and provide a historical foundation for future quantitative research on post-2010 developments.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 3","pages":"Pages 129-138"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study analyzed the determinants of air cargo volumes between airports using an augmented gravity model. Data from 115 airport pairs in China spanning 2009–2020 were utilized. The findings reveal that economic disparity significantly influences air cargo volumes, with greater economic differences between airports' host cities leading to reduced cargo flows. Geographic distance also plays a crucial role and exhibits a nonlinear effect. By extending the panel gravity model into a threshold regression model, this study finds that when the distance is less than 430 km, air cargo connectivity weakens as the distance increases. Beyond 430 km, however, geographic distance positively impacts air cargo volumes, indicating that air cargo frequency increases with longer distances. Population size in airport host cities affects cargo volumes, with departure city populations having a stronger influence. Additionally, airport-specific factors such as available tonnage, flight schedules, and regular shift load factors are significant determinants, with the regular shift load factor being particularly impactful. By incorporating time-varying economic distances and geographic threshold effects, this study improves upon the traditional gravity model, offering a more nuanced approach for analyzing airport cargo flows. The findings provide valuable insights for policymakers, enabling them to better understand the factors influencing air cargo volumes and implement effective strategies to foster sustainable growth in the air cargo industry.
{"title":"Determinants of air cargo volumes within airport networks: Insights from an augmented gravity model with economic distance and geographic threshold effects","authors":"Zhen Wu , Po-Lin Lai , Pairach Piboonrungroj , Hao Guo","doi":"10.1016/j.ajsl.2025.06.004","DOIUrl":"10.1016/j.ajsl.2025.06.004","url":null,"abstract":"<div><div>This study analyzed the determinants of air cargo volumes between airports using an augmented gravity model. Data from 115 airport pairs in China spanning 2009–2020 were utilized. The findings reveal that economic disparity significantly influences air cargo volumes, with greater economic differences between airports' host cities leading to reduced cargo flows. Geographic distance also plays a crucial role and exhibits a nonlinear effect. By extending the panel gravity model into a threshold regression model, this study finds that when the distance is less than 430 km, air cargo connectivity weakens as the distance increases. Beyond 430 km, however, geographic distance positively impacts air cargo volumes, indicating that air cargo frequency increases with longer distances. Population size in airport host cities affects cargo volumes, with departure city populations having a stronger influence. Additionally, airport-specific factors such as available tonnage, flight schedules, and regular shift load factors are significant determinants, with the regular shift load factor being particularly impactful. By incorporating time-varying economic distances and geographic threshold effects, this study improves upon the traditional gravity model, offering a more nuanced approach for analyzing airport cargo flows. The findings provide valuable insights for policymakers, enabling them to better understand the factors influencing air cargo volumes and implement effective strategies to foster sustainable growth in the air cargo industry.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 3","pages":"Pages 153-163"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.ajsl.2025.07.002
María del Carmen García Barranco, Juan Carlos Pérez Mesa, Jesús Hernández Rubio
This paper presents a scoping review of the literature on innovative business models (BM) in the context of intermodal transport of perishable goods, with a particular focus on short sea shipping (SSS). It explores the ongoing reluctance of supply chain stakeholders to adopt modal shift strategies, despite well-documented environmental and social benefits. To address this challenge, the study proposes the BM concept as a strategic and operational tool to bridge the gap between vision and implementation, particularly within the agri-food sector, where supply chain management is critical. The review reveals a strong prevalence of BM oriented toward digitalization and collaboration to enhance intermodal logistics. However, it also identifies a notable gap in models that address externality reduction and improvements in service quality. Those two dimensions are especially relevant for the successful implementation of intermodal solutions for perishable products.
{"title":"Innovative intermodal transportation business models for perishables: A scoping review","authors":"María del Carmen García Barranco, Juan Carlos Pérez Mesa, Jesús Hernández Rubio","doi":"10.1016/j.ajsl.2025.07.002","DOIUrl":"10.1016/j.ajsl.2025.07.002","url":null,"abstract":"<div><div>This paper presents a scoping review of the literature on innovative business models (BM) in the context of intermodal transport of perishable goods, with a particular focus on short sea shipping (SSS). It explores the ongoing reluctance of supply chain stakeholders to adopt modal shift strategies, despite well-documented environmental and social benefits. To address this challenge, the study proposes the BM concept as a strategic and operational tool to bridge the gap between vision and implementation, particularly within the agri-food sector, where supply chain management is critical. The review reveals a strong prevalence of BM oriented toward digitalization and collaboration to enhance intermodal logistics. However, it also identifies a notable gap in models that address externality reduction and improvements in service quality. Those two dimensions are especially relevant for the successful implementation of intermodal solutions for perishable products.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 3","pages":"Pages 164-175"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.ajsl.2025.06.001
Maria Listan Bernal, Young-Seo Choi, Margarita Krivoshapkina, Gi-Tae Yeo
This study aimed to analyze the competition structure of grain terminals in the West Coast region of South Korea. Herfindahl-Hirschman Index (HHI), shift-share analysis, and Boston consulting group (BCG) Matrix approaches were used in this study. The results showed that grain terminals in Incheon, such as Hanjin, CJ Korea Express, Daehan Silo, and Korea TBT, did not attain the positive handling level of the Taeyoung Grain Terminal located in Pyeongtaek Dangjin port and outstanding gains of Sun Kwang (Gunsan) grain terminal. The results of this study have implications for the establishment of government policies such as the construction of additional grain terminals and repair of existing facilities.
{"title":"Analysis of the competitive structure of the grain terminal in the West Coast region of South Korea","authors":"Maria Listan Bernal, Young-Seo Choi, Margarita Krivoshapkina, Gi-Tae Yeo","doi":"10.1016/j.ajsl.2025.06.001","DOIUrl":"10.1016/j.ajsl.2025.06.001","url":null,"abstract":"<div><div>This study aimed to analyze the competition structure of grain terminals in the West Coast region of South Korea. Herfindahl-Hirschman Index (HHI), shift-share analysis, and Boston consulting group (BCG) Matrix approaches were used in this study. The results showed that grain terminals in Incheon, such as Hanjin, CJ Korea Express, Daehan Silo, and Korea TBT, did not attain the positive handling level of the Taeyoung Grain Terminal located in Pyeongtaek Dangjin port and outstanding gains of Sun Kwang (Gunsan) grain terminal. The results of this study have implications for the establishment of government policies such as the construction of additional grain terminals and repair of existing facilities.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"41 3","pages":"Pages 119-128"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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