@article{Xin2025191,

title = {Vulnerability assessment of International Container Shipping Networks under national-level restriction policies},

author = {Xuri Xin and Yuhao Cao and Pisit Jarumaneeroj and Zaili Yang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001506707&doi=10.1016%2fj.tranpol.2025.03.020&partnerID=40&md5=d8c405f7ceba6804f4a0adbda508eaaa},

doi = {10.1016/j.tranpol.2025.03.020},

issn = {0967070X},

year  = {2025},

date = {2025-01-01},

journal = {Transport Policy},

volume = {167},

pages = {191 – 209},

publisher = {Elsevier Ltd},

abstract = {This study develops a systematic methodology to assess the vulnerability of International Container Shipping Networks (ICSNs) amid national-level restriction policies potentially caused by the increasing international trade disputes and health crises. It designed a holistic vulnerability assessment framework that explores the impact of two disruption scenarios—direct and complete trade restrictions, which incorporates new measures of vulnerability and centrality to evaluate a country's susceptibility to international restrictions and its impact on other countries' ICSNs. Subsequently, correlation and dependence analyses are conducted to explore relationships between vulnerability/centrality and eight international network characteristics, identifying key factors. Finally, an enhanced k-means algorithm classifies the impact degrees of various countries' restrictive policies on a country of interest, and examines the effects of both partial and collective disruptions of identified critical countries. Experimental results demonstrate the effectiveness in revealing the varied impacts of different restrictive policies on distinct performance metrics, identifying critical factors that influence vulnerability and centrality, and precisely classifying different countries' restriction impacts to help identify key influential countries. These insights not only deepen understanding of ICSNs under national-level disruptions but also aid in optimizing international shipping from an operational perspective and providing strategic guidance for proactive disruption management from a preventative standpoint. © 2025 The Authors},

note = {Cited by: 3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Cao2025,

title = {Data-driven resilience analysis of the global container shipping network against two cascading failures},

author = {Yuhao Cao and Xuri Xin and Pisit Jarumaneeroj and Huanhuan Li and Yinwei Feng and Jin Wang and Xinjian Wang and Robyn Pyne and Zaili Yang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212391651&doi=10.1016%2fj.tre.2024.103857&partnerID=40&md5=d4cd91c89a48a5c737afcac571e12bc5},

doi = {10.1016/j.tre.2024.103857},

issn = {13665545},

year  = {2025},

date = {2025-01-01},

journal = {Transportation Research Part E: Logistics and Transportation Review},

volume = {193},

publisher = {Elsevier Ltd},

abstract = {Being a fundamental link in the global supply chain and logistics system, the global container shipping network (GCSN) is highly interconnected, which causes the network resilience challenges by the cascading failures triggered by extreme events (e.g., COVID-19 and regional conflicts). Within this dynamic process, the load redistribution behaviour is the core countermeasure for the propagation of cascading failures, however the diversified mechanism has not been systematically studied. To fill in these gaps, this study aims to develop a pioneering resilience analysis framework against cascading failures, to comprehensively explore the impact of port disruptions on the shipping network resilience. By pioneering the influence analysis of port betweenness, weight, and connectivity on load determination and target selection, a port importance assessment method is applied as the foundation for load redistribution decisions. Based on the global service routes data from 2020 to 2023, the GCSN resilience against the sequential cascading failures of 686 ports worldwide is quantified by three metrics. A scenario analysis is conducted to simulate the effects of cascading failures triggered by 5 historical port disruption events (e.g., the COVID-19 port lockdowns and the 2024 bridge collision at Baltimore port) on resilience of the network. Determining the identified critical capacity threshold is pivotal for effectively enhancing the system's resilience and preventing the likelihood of cascading failures. Additionally, this study offers cutting-edge perspectives to the global shipping industry stakeholders. It presents distinct strategies and preferences, offering actionable advice for port authorities in their risk response decisions. Moreover, this study delivers an economic rationale and critical evaluations, instrumental for the strategic maintenance, planning and augmentation of port infrastructures to prevent unforeseen risks. © 2024 The Author(s)},

note = {Cited by: 20; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jarumaneeroj2025,

title = {Eco-friendly long-haul perishable product transportation with multi-compartment vehicles},

author = {Pisit Jarumaneeroj and Supisara Krairiksh and Puwadol Oak Dusadeerungsikul and Dong Li and Çağatay Iris},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217719766&doi=10.1016%2fj.cie.2025.110934&partnerID=40&md5=c69a7e194c2581a7efb0eaa0834acf4f},

doi = {10.1016/j.cie.2025.110934},

issn = {03608352},

year  = {2025},

date = {2025-01-01},

journal = {Computers and Industrial Engineering},

volume = {202},

publisher = {Elsevier Ltd},

abstract = {Multi-compartment refrigerated vehicles (MCVs) have been recently utilized in long-haul perishable product transportation, thanks to their flexibility in storage capacity with different temperature settings. To better understand trade-offs between economic and environmental aspects of long-haul transportation of perishable products with refrigerated vehicles, a Multi-Compartment Vehicle Loading and Scheduling Problem (MCVLSP) that minimizes three objectives—transportation cost, carbon emissions, and total food loss—is herein solved by mathematical modeling and genetic algorithm (GA) approaches. Our computational results indicate that larger MCVLSP instances cannot be solved to optimality using the mathematical model with off-the-shelf optimization software packages. The proposed GA delivers strong computational performance for MCVLSP with respect to solution quality and computational time. We find that, among three objectives, the environmental objective is the most sensitive one as slight difference in either vehicle loading or scheduling decisions could result in solutions with significantly varying carbon emissions. Moreover, solutions with fewer MCVs are not necessarily environmentally sustainable. Rather, deploying larger MCV fleets could potentially result in lower carbon emissions and food weight loss for perishable products—albeit a slight increase in total transportation cost—due to the changes in vehicle loading and scheduling decisions. © 2025 The Author(s)},

note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Poo2024,

title = {Assessing the impact of Arctic shipping routes on the global container shipping network’s connectivity},

author = {Mark Ching-Pong Poo and Zaili Yang and Yui-yip Lau and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203686839&doi=10.1080%2f1088937X.2024.2399775&partnerID=40&md5=45ce2c427892e7fd6ef29fc7d2daf112},

doi = {10.1080/1088937X.2024.2399775},

year  = {2024},

date = {2024-01-01},

journal = {Polar Geography},

note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Phuthong2024,

title = {Identifying factors influencing electric vehicle adoption in an emerging market: The case of Thailand},

author = {Thadathibesra Phuthong and Tanarat Borisuth and Zaili Yang and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204469532&doi=10.1016%2fj.trip.2024.101229&partnerID=40&md5=6c02e5ca39b3840fae97798ee1d1d112},

doi = {10.1016/j.trip.2024.101229},

issn = {25901982},

year  = {2024},

date = {2024-01-01},

journal = {Transportation Research Interdisciplinary Perspectives},

volume = {27},

publisher = {Elsevier Ltd},

abstract = {Electric vehicles (EVs) are considered a technological innovation that helps reduce not only fuel consumption but also air pollution and greenhouse gases that exacerbate global warming concerns. Despite these benefits, the understanding of factors influencing EV adoption remains obscure, as it varies greatly across countries and perspectives (e.g., the acceptance of EV technology, decisions to purchase and use EVs, and policies that affect user decisions to purchase and use EVs). To better comprehend the dominance of such factors — especially in an emerging market with a huge leap in EV usage, like Thailand — we devise a multi-perspective multi-criteria decision analysis (MCDA) framework and apply it to datasets of Thai EV users, including both general EV user and expert groups. Our results reveal that “Attitude Toward Using EVs” and “Subjective Norms” are crucial for the acceptance of EVs, while “Product and Service Attributes” and “Purchasing Incentive Policies” greatly impact the adoption decisions. Besides these factors, we also identify causal-effect relationships among factors in each of these three different perspectives. This research thus allows stakeholders — including EV manufacturers, transport authorities, and governments — to properly devise relevant mechanisms supporting countrywide EV adoption in a more sustainable fashion. © 2024 The Author(s)},

note = {Cited by: 8; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jarumaneeroj2024283,

title = {An evolution of the Global Container Shipping Network: port connectivity and trading community structure (2011–2017)},

author = {Pisit Jarumaneeroj and Jorge Barnett Lawton and Morten Svindland},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175660004&doi=10.1057%2fs41278-023-00273-x&partnerID=40&md5=60adba0134b1be92f558d16dd80ba83b},

doi = {10.1057/s41278-023-00273-x},

issn = {14792931},

year  = {2024},

date = {2024-01-01},

journal = {Maritime Economics and Logistics},

volume = {26},

number = {2},

pages = {283 – 306},

publisher = {Palgrave Macmillan},

abstract = {Port connectivity and trading community structure are two fundamental network characteristics that complement one another in explaining the evolution of maritime transport networks. Although port connectivity has been widely studied in the literature, the investigations on trading community structures are rather limited. To better fill this gap, this paper aims to provide a more complete picture of the Global Container Shipping Network (GCSN)’s evolution, based on our earlier works in MEL. In doing so, the GCSN, representing a snapshot of trade at the end of each quarter, from Q3/2011 to Q3/2017, is first constructed. The connectivity of ports and their respective trading communities are then extracted by the Container Port Connectivity Index and the Louvain algorithm, respectively. With our proposed framework, related players would be able to understand the growth of GCSN, as well as the impacts of maritime occurrences on the network of container shipping. Our computational results indicate that port connectivity and trading community structure gradually evolve according to the economic conditions that change over time and the evolution of GCSN could be well explained by these two explanatory variables. In this regard, ports in East Asia consistently dominate others in terms of both inbound and outbound connectivity, led by Shanghai and other major ports of mainland China. Furthermore, the formation of trading communities largely depends on trading patterns—rather than geographical locations—which is evident from the insolvency and mergers of communities in the North American region right after the expansion of the Panama Canal in 2016. © The Author(s) 2023.},

note = {Cited by: 8; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Poo2024219,

title = {Assessing the impact of Arctic shipping routes on the global container shipping network’s connectivity},

author = {Mark Ching-Pong Poo and Zaili Yang and Yui-yip Lau and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203686839&doi=10.1080%2f1088937X.2024.2399775&partnerID=40&md5=45ce2c427892e7fd6ef29fc7d2daf112},

doi = {10.1080/1088937X.2024.2399775},

issn = {1088937X},

year  = {2024},

date = {2024-01-01},

journal = {Polar Geography},

volume = {47},

number = {3},

pages = {219 – 239},

publisher = {Taylor and Francis Ltd.},

abstract = {Amidst the intensifying impact of climate change, the extension of navigable periods along Arctic Shipping Routes (ASRs) has garnered attention as a maritime route for container vessels. The urgency to comprehend the reverberations of ASRs on the global container shipping network (GCSN) led to the development of the Latitudinal Centrality Index (LCI), which integrates latitude and centrality in maritime analysis. This index evaluates ASRs’ influence across 968 port nodes within the GCSN. By exploring scenarios encompassing seasonal fluctuations over the years, this study delves into the sway of ASRs compared to a benchmark state devoid of ASR engagement. The study’s revelations highlight a discovery: the assimilation of ASRs augments interconnectivity, or resilience, within the GCSN. The GCSN thrives as a cohesive and adaptable entity upon full integration of ASRs, indicating a promising trajectory for global container shipping. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.},

note = {Cited by: 1; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Srisurin20241678,

title = {Traffic Simulation Models to Enhance Signal Timing in an Oversaturated Network: A Comparative Study of Optimizing Individual Intersections versus the Entire Network},

author = {Punyaanek Srisurin and Agustin Guerra and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214941856&doi=10.14716%2fijtech.v15i6.7123&partnerID=40&md5=4ae07b585a99793dbe65a7b2ef854916},

doi = {10.14716/ijtech.v15i6.7123},

issn = {20869614},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Technology},

volume = {15},

number = {6},

pages = {1678 – 1696},

publisher = {Faculty of Engineering, Universitas Indonesia},

abstract = {The objective of this study is to investigate the variations in performance of a network with multiple oversaturated intersections—particularly delays and queue lengths—generated by two different signal timing approaches, namely (i) the classical isolated signal timing approach that aims to optimize each intersection's signal timing independently and (ii) the network optimization approach that focuses more on the network's holistic performance. In doing so, two signal timing models are herein developed using Synchro—a powerful traffic simulation tool—based on the information of a real oversaturated network with six consecutive intersections located on a major arterial street of Bangkok, Thailand, during the weekday evening peak period. The results of this simulation indicate that optimal cycle lengths and the allocation of green intervals are two key success factors that help reduce average delays and queue lengths at these intersections. To this end, excessive green intervals tend to result in greater delays and queue lengths, as the remaining approaches would experience excessively long red intervals. Furthermore, the key factor that helps enhance the network's holistic performance is the allocation of coordinated green intervals considering vehicular flows on all traffic corridors. In this regard, we find that the network optimization approach is considerably more efficient, as it could help reduce average delays and queue lengths by 43.5% and 61.9% compared to the base case scenario—which is 9.7% and 9.4% better than the isolated signal timing approach, respectively. © (2024), (Faculty of Engineering, Universitas Indonesia). All rights reserved.},

note = {Cited by: 1; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jarumaneeroj2023602,

title = {A connectivity-based approach to evaluating port importance in the global container shipping network},

author = {Pisit Jarumaneeroj and Amar Ramudhin and Jorge Barnett Lawton},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138354796&doi=10.1057%2fs41278-022-00243-9&partnerID=40&md5=0d2721f1e03e0a976ac73955e8478ae8},

doi = {10.1057/s41278-022-00243-9},

issn = {14792931},

year  = {2023},

date = {2023-01-01},

journal = {Maritime Economics and Logistics},

volume = {25},

number = {3},

pages = {602 – 622},

publisher = {Palgrave Macmillan},

abstract = {This paper proposes a framework for evaluating the strategic importance of container ports based on their connectivity. The Container Port Connectivity Index is computed and decomposed into components according to the Liner Shipping Connectivity Index—each reflecting its contribution to the overall port importance score. The framework produces separate scores for each component, thus allowing port stakeholders to better comprehend why a particular port has become important, and for what reasons. The decomposition approach also allows more detailed analyses, and explanations of the impacts of major economic phenomena—i.e., the expansion of Panama Canal or the crumbling of Hanjin shipping—on the relative importance of ports within the Global Container Shipping Network, as more explanatory variables become available. Our computational results indicate that, while the connectivity of ports related to these events is impacted, changes on connectivity rankings could be adequately explained by the proposed decomposition scheme. The inbound connectivity of New York, for example, was slightly improved after the Panama Canal expansion—from the 29th place in Q1/2016 to the 24th place in Q2/2016—due mainly to the rise in the larger capacity of ships calling. However, in Q3/2016, its inbound rank returned to the 29th place, which was mainly due to the decline in the number of liner services available, number of liner companies, and number of ships calling. The effects of Hanjin’s bankruptcy, on the contrary, were more localized and relatively brief. © 2022, The Author(s).},

note = {Cited by: 11; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Srisurin2022,

title = {Evaluating the long-term operational performance of a large-scale inland terminal: A discrete event simulation-based modeling approach},

author = {Punyaanek Srisurin and Phipat Pimpanit and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143552308&doi=10.1371%2fjournal.pone.0278649&partnerID=40&md5=c01f50ee08a89f5f23d1dda4eee9f509},

doi = {10.1371/journal.pone.0278649},

issn = {19326203},

year  = {2022},

date = {2022-01-01},

journal = {PLoS ONE},

volume = {17},

number = {12 December},

publisher = {Public Library of Science},

abstract = {Inland terminals, or dry ports, have played an important role in multimodal transportation networks as transportation hubs that provide connections between seaports and hinterland economies. While important, evaluating the operational performance of a dry port is especially challenging since it depends not only on internal factors, such as the variety and number of container handling equipment (CHE) deployed, but also on other external factors, including changes in transportation policies and container demands experienced by a dry port. To properly evaluate the holistic performance of a dry port while considering all the aforementioned factors, a discrete event simulation (DES) framework is herein developed and applied to the Ladkrabang Inland Container Depot (LICD)—one of the largest dry ports in Southeast Asia—under various operational settings. Despite complicated internal operations, the devised DES framework has shown itself useful in the analyses of LICD, due largely to its flexibility that allows users to include sophisticated operational rules into models. According to our computational results, the current LICD operation is markedly ineffective as the usage rates of all CHE types are relatively low and varied across gate operators —especially the yard truck whose values range between 2.46% and 11.15% on yearly average. We also find that, by redesigning the LICD and its internal operations, the LICD’s performance could be substantially enhanced—even with fewer numbers of CHE. Regarding the four CHE types, the reach stacker seems to limit LICD’s capability, as its utilization tends to first reach the maximum allowable rate of 75%, while the rubber tyred gantry crane could help boost the usage rate of yard trucks, which, in turn, results in reduced container dwelling times. Nonetheless, the modified LICD could accommodate up to 140% of the current container demand before it experiences operational difficulties induced by the saturation of container flow from rail transportation. © 2022 Srisurin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},

note = {Cited by: 8; All Open Access, Gold Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}