@article{Tanaksaranond2026,

title = {Spatio-temporal characteristics of taxis in Bangkok, Thailand, across multiple pandemic waves},

author = {Garavig Tanaksaranond and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105034329235&doi=10.1016%2fj.trip.2026.101975&partnerID=40&md5=add49958afbc3db3e5a78c4b6fc6418d},

doi = {10.1016/j.trip.2026.101975},

year  = {2026},

date = {2026-01-01},

journal = {Transportation Research Interdisciplinary Perspectives},

volume = {37},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Petchrompo202663536,

title = {A Data-Driven Framework for Vaccine Demand Forecasting and Inventory Simulation in a Hospital Travel Clinic},

author = {Sanyapong Petchrompo and Bhapisut Wangprasertkul and Atipong Sungsee and Watcharapong Piyaphanee and Punyisa Asawapaithulsert and Wasin Padungwech and Chattarin Wangwittaya and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105036518131&doi=10.1109%2fACCESS.2026.3685781&partnerID=40&md5=6dbebd322ab7b33d634bb476becbbb5e},

doi = {10.1109/ACCESS.2026.3685781},

year  = {2026},

date = {2026-01-01},

journal = {IEEE Access},

volume = {14},

pages = {63536 – 63552},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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},

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: 16; All Open Access, Hybrid Gold Open Access},

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},

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: 58; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wachwanakijkul2025,

title = {Data-driven approaches to predicting customer churn in a non-contractual car-sharing company},

author = {Pawaris Wachwanakijkul and Supawit Junsiritrakhoon and Nantachai Kantanantha and Gopalakrishnan Narayanamurthy and Pisit Jarumaneeroj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014126233&doi=10.1016%2fj.trip.2025.101600&partnerID=40&md5=840fad6fc4a5a11ec8d5cc66922b21b2},

doi = {10.1016/j.trip.2025.101600},

year  = {2025},

date = {2025-01-01},

journal = {Transportation Research Interdisciplinary Perspectives},

volume = {33},

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

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: 4; 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},

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: 19; All Open Access, Gold Open Access, Green 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},

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: 18; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}