publications

JOURNAL papers

[2024]

Hirata, E., Watanabe, D., Chalmoukis, A., Lambrou, M. (2024). A Topic Modeling Approach to Determine Supply Chain Management Priorities Enabled by Digital Twin Technology. Sustainability, 16(9), 3552. https://www.mdpi.com/2071-1050/16/9/3552

Naganawa, H., Hirata, E., Firdausiyah, N., Thompson, R.G. (2024). Logistics Hub and Route Optimization in the Physical Internet Paradigm. Logistics 2024, 8, 37. https://doi.org/10.3390/logistics8020037 

Hirata, E., Hansen, A. S. (2024). Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature ReviewLogistics. 8(1), 23. https://doi.org/10.3390/logistics8010023

[2023]

Hirata, E., Yamashita, T, Ozawa, S. (2023). Researcher Network Visualization using Matrix Researcher2vec.  Journal of Advanced Computational Intelligence & Intelligent Informatics. 27(4), 603-608. https://doi.org/10.20965/jaciii.2023.p0603 (The original model for the Kobe University Research Hub is provided by this study. )

Hirata, E., Matsuda, T. (2023)  Examining logistics developments in post-pandemic Japan through sentiment analysis of Twitter data.  Asian Transport Studies. 2023 (9), 100110. https://doi.org/10.1016/j.eastsj.2023.100110 

[2022]

Hirata, E., Matsuda, T. (2022). Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment. Journal of Marine Science and Engineering. 10(5), 593. https://doi.org/10.3390/jmse10050593  

[2021]

Matsuda, T., Hirata, E., Kawasaki, T. (2021). Monopoly in the container shipping market: an econometric approach. Maritime Business Review.  7(4), 318-331. https://doi.org/10.1108/MABR-12-2020-007 

Hirata, E.,  Matsuda, T. (2021). Uncovering the impact of COVID-19 on shipping and logistics. Maritime Business Review. 7(4), 305-317. https://doi.org/10.1108/MABR-03-2021-0018 [Emerald Literati Award 2023]

Wang, Y., Watanabe, D., Hirata, E., Toriumi, S., Real-Time Management of Vessel Carbon Dioxide Emissions Based on Automatic Identification System Database Using Deep Learning. Journal of Marine Science and Engineering, 9(8), 871. https://doi.org/10.3390/jmse9080871 

Munim, Z. H., Duru, O., Hirata, E. (2021). Rise, Fall, and Recovery of Blockchains in the Maritime Technology Space. Journal of Marine Science and Engineering, 9(3), 266. https://doi.org/10.3390/jmse9030266 

Kim, H., Watanabe, D., Toriumi, S., Hirata, E. (2021). Spatial Analysis of an Emission Inventory from Liquefied Natural Gas Fleet Based on Automatic Identification System Database. Sustainability, 13(3), 1250. https://doi.org/10.3390/su13031250 

平田燕奈 (2021). 「フィジカルインターネットにおけるブロックチェーン技術の応用性に関する研究」, 海事交通研究, 70, 67-77.

[2020]

Hirata, E.,  Lambrou, M.,  Watanabe, D. (2020). Blockchain technology in supply chain management: insights from machine learning algorithms. Maritime Business Review. 6 (2), 114-128. https://doi.org/10.1108/MABR-07-2020-0043 [Emerald Literati Award 2022]

Sakalayen, Q. M. H., Duru, O., Hirata, E. (2020).  An Econophysics Approach to Forecast Bulk Shipbuilding Orderbook: An Application of Newton’s Law of Gravitation. Maritime Business Review. 6(3), 234-255.  https://doi.org/10.1108/MABR-03-2020-0019 

Hirata, E. (2020).  Service recovery and customer satisfaction in container liner shipping industry – An ordered LOGIT approach.International Journal of Shipping and Transport Logistics. 12 (6), 111116. https://doi.org/10.1504/IJSTL.2020.111116 

平田燕奈 (2020) .「ブロックチェーンと港湾電子化 : トレードレンズの概要と最新動向」, 港湾荷役 65(4), 411-416. 

[2019 and earlier]

Hirata, E. (2019) . Service characteristics and customer satisfaction in the container liner shipping industry. The Asian Journal of Shipping and Logistics, 35 (1), 24-29. https://doi.org/10.1016/j.ajsl.2019.03.004 

Hirata, E. (2018) . A non-structural approach to assess competitive conditions in container liner shipping market: 2009-2014. International Journal of Shipping and Transport Logistics, 10 (5/6), 500 - 513. https://doi.org/10.1504/IJSTL.2018.095220 

Hirata, E. (2017) . Contestability of container liner shipping market in alliance era. The Asian Journal of Shipping and Logistics, 33(1) , 29-34. https://doi.org/10.1016/j.ajsl.2017.03.004 

平田燕奈 (2019) .「海運物流分野におけるブロックチェーン技術の応用及び効果についての考察」, 海運経済研究, 53巻, 60-70.

平田燕奈,村上英樹(2015).「Container Liner Contestability in Alliance Era」, 海運経済研究, 49巻, 42-50. (ISSN 0386-5320)

Conference papers

Naganawa H., Hirata E. (2024). Reinforcement Learning-Based Optimization of Logistical Hubs and Routing in the Context of the Physical Internet - A Case Study from Japan. The Proceedings of the 10th International Physical Internet Conference (IPIC2024). Savannah.

Hirata, E., Li, K., Watanabe, D. (2023). Research Topics and Methods in Maritime Decarbonization: A Natural Language Processing Approach.  the proceedings of the International Association of Maritime Economists (IAME2023)Long Beach.

Hirata, E., Yamashita, T, Ozawa S. (2022). "Development of Researcher Network Visualization System by Matrix Researcher2vec", the proceedings of the 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence (FAN 2022). Kobe, Japan

Watanabe, D., Hirata, E., Lambrou, M. (2022). "A Study on Market Forecast of International Logistics Using Natural Language Processing - Based on a Questionnaire Survey for Major Freight Forwarders in Japan", the Conference of International Association of Maritime Economists (IAME2022).  Busan, Korea.

Hirata, E., Matsuda, T. (2022). "Decoding Logistics Trend in Japan using SNS Data", the Conference of International Association of Maritime Economists (IAME2022).  Busan, Korea. Extended Abstract.

Hirata, E., Matsuda, T. (2020). "Forecasting container freight rate: A comparison of traditional and deep learning-based models", The Asian Logistics Round Table (ALRT) 2020 Conference. Launceston, Tasmania, Australia.

Hirata, E., Matsuda, T.. (2020). "A Discussion on How Covid-19 Impacts Shipping and Logistics: Implications from Machine Learning Perspective", the 8th International Conference on Transportation and Logistics (T-LOG 2020). Surabaya, Indonesia.

Hirata, E.,  Lambrou, M., Watanabe, D. (2020). “Application of Blockchain in Supply Chain: Insights from Machine Learning”,  the Conference of International Association of Maritime Economists (IAME2020).  Hong Kong SAR, China.

Kim, H., Watanabe, D., Hirata, E. (2019). “Analyzing spatial autocorrelation in AIS based LNG emitted bunker consumption”, the International Conference on Logistics and Industrial Engineering (ICLIE2019), 1-6, 2019. Ho Chi Minh City, Vietnam.

Hirata, E. (2019) ."Measuring structure-conduct-performance in the container shipping market", the Conference of International Association of Maritime Economists (IAME2019). Athens, Greece.

Hirata, E. (2018) .“Service Characteristics and Customer Satisfaction in Container Liner Shipping Industry”, the 11th International Conference of Asian Shipping and Logistics (ICASL 2018). Incheon, Korea.

Hirata, E. (2017) .“Service Recovery and Customer Satisfaction in Container Liner Shipping Industry –An Ordered LOGIT Approach”, the Conference of International Association of Maritime Economists (IAME2017). Kyoto, Japan.

Hirata, E. (2016) .“Demand Elasticity and Competitive Conditions in Container Liner Shipping Market”, the Conference of  International Association of Maritime Economists (IAME2016). Hamburg, Germany.

Hirata, E., Murakami, H. (2016) .“The Effect of Container Liner Shipping on Economic Growth: A Panel Data Analysis”, International Forum on Shipping, Ports and Airports (IFSPA2015), pp. 318-325. Hong Kong SAR, China.

invited talks

Guest Speaker: Hirata, E. (2024). "Introduction of Physical Internet, a next-generation logistics network".  Japan Business Press (Online). Apr 22, 2024

Keynote Speaker: Hirata, E. (2023). "Industry 4.0: technologies for next-generation maritime logistics and shipping digitalization". Emerging Topics in Transportation Studies (Online). Feb 3, 2023

Keynote Speaker: Hirata, E. (2023). "Advanced Technologies and Recent Applications in Smart Ports". Utilizing Digital Technology in the Field of Trade Facilitation under the Current COVID-19 Pandemic and Beyond: Best-Practices Sharing Workshops, Asia-Pacific Economic Cooperation, Singapore (Online). Jan 17, 2023 (Agenda|Materials)

Keynote Speaker: Hirata, E. (2022). "Maritime Research and Climate Change - Introduction of Related Research in Japan". JSPS JARA EVENT 2022 Maritime Research in Denmark and Japan - Opportunities for Collaboration and Funding, Aarhus, Denmark (Online). Mar 3, 2022

Guest Speaker: Hirata, E. (2022). "Application of AI and Blockchain Technology in Smart Container Terminal".  African Development Senior Managers Forum on Towards Smart Strategies for Sustainable Container Terminal in the era of Blockchain and Big Data. Jan 17, 2022

Guest Speaker: Hirata, E. (2021). "Blockchain and Shipping".  The Japan Society of Naval Architects and Ocean Engineers, Oct 25, 2021

Guest Speaker: Hirata, E. (2019) .“Blockchain and Trade Facilitation”. GTDW China, Shanghai

Guest Speaker: Hirata, E. (2019) .“TradeLens – a Blockchain Solution for Shipping and Logistics”. Intermodal Asia 2019, Shanghai

Guest Speaker: Hirata, E. (2019) .“A Blockchain Solution for Shipping and Logistics”. International Association of Port and Harbors 2019, Guangzhou

Guest Speaker: Hirata, E. (2019) .“Blockchain and Customs’ performance”. For the Customs of Thai, Bangkok

Guest Speaker: Hirata, E. (2019) .“Blockchain and Country Competitiveness”. For the Ministry of Transport Vietnam, Hanoi

Guest Speaker: Hirata, E. (2018) .“Digitizing Global Supply Chain – An Application of Blockchain in Shipping”. The Maritime CIO Forum, Tokyo

Guest Speaker: Hirata, E. (2018) .“A Blockchain-based Open and Neutral Supply Chain Platform”, Korea EPR Conference, Seoul

招待講演 :平田燕奈(2023).「物流におけるビッグデータ活用の最前線」,Logistics DX SUMMIT,東京 (オンライン)

招待講演 :平田燕奈(2022).「ブロックチェーン技術と国際物流」,日本海事センター,東京

招待講義: 平田燕奈(2020).「ブロックチェーンで進化する貿易物流」,京都大学経営管理大学院

招待講演 :平田燕奈(2019).「ブロックチェーン技術を活用したサプライチェーン管理」,日経 x TECH EXPO 2019,東京

招待講演 :平田燕奈(2019).「外航海運業務電子化と革新的テクノロジー」,日本海運集会所,神戸

招待講演 :平田燕奈(2019).「ブロックチェーン時代の貿易物流」,日経テクノロジーNEXT 2019,東京

招待講演 :平田燕奈(2019).「海運業界における業務電子化(現状と動向)」,海事振興連盟・海洋立国懇話会,東京

Conference Presentations

Naganawa H., Hirata E. (2024). Reinforcement Learning-Based Optimization of Logistical Hubs and Routing in the Context of the Physical Internet - A Case Study from Japan. The 10th International Physical Internet Conference (IPIC2024). Savannah.

Hirata, E., Li, K., Watanabe, D. (2023). Research Topics and Methods in Maritime Decarbonization: A Natural Language Processing Approach.  Conference of International Association of Maritime Economists (IAME2023)Long Beach.

Hirata, E., Matsuda, T. (2022). Decoding Logistics Trend in Japan using SNS data.  Conference of International Association of Maritime Economists (IAME2022).  Busan.

Hirata, E. , Lambrou, M., Watanabe, D. (2021). Similarity between Digital Platforms – A Machine Learning Approach. Conference of International Association of Maritime Economists (IAME2021), Rotterdam.

Hirata, E., Matsuda, T. (2020). Covid-19 and Global Logistics –Implications from text mining perspective. The 8th International Conference on Transportation and Logistics (T-LOG 2020), Surabaya.

Hirata, E. , Lambrou, M., Watanabe, D. (2020). Identifying Trends for Blockchain Application in Supply Chain Using  Text Mining. Conference of International Association of Maritime Economists (IAME2020), Hong Kong

Hirata, E. (2019) .Measuring structure-conduct-performance in the container shipping market. Conference of International Association of Maritime Economists (IAME2019). Athens, Greece.

Hirata, E. (2018). Service characteristics in container liner shipping industry. The 11th International Conference of Asian Shipping and Logistics, Inchon.

Hirata, E. (2017). Service recovery and customer satisfaction in container liner shipping industry. Conference of International Association of Maritime Economists (IAME2017), Kyoto.

Hirata, E. (2016). Demand Elasticity and Competitive Conditions in Container Liner Shipping Market. Conference of International Association of Maritime Economists (IAME2016), Hamburg.

Hirata, E. (2015). A Panel Data Analysis to the Effect of Container Liner Shipping on Economic Growth. International Forum on Shipping, Ports and Airports, Hong Kong.

平田燕奈,山下貴大,小澤誠一 (2022),「Researcher2Vecによる研究者ネットワーク可視化システムの開発 - 神戸大学における研究DXの取組」,第30回インテリジェント・システム・シンポジウム(FAN2022),神戸,2022年9月22日

平田燕奈, 松田琢磨(2022).「SNSデータから見るポストコロナ時代の日本物流」,日本海運経済学会関西部会(日本交通学会関西部会と共催),大阪

平田燕奈, 松田琢磨(2020).「コロナ禍がもたらす物流への影響に関する一考察 -自然言語処理の観点から」,日本海運経済学2020年次大会,神戸

松田琢磨,川崎智也,平田燕奈(2019).「コンテナ海運業における M&A の経済的効果」,第 36 回日本物流学会年次大会,大阪

平田燕奈 (2017) .「コンテナ船業界のサービスリカバリーと顧客満足度」, 日本海運経済学2017年次大会,東京

平田燕奈 (2015) .「アライアンス時代のコンテナ船市場の競争度」,日本海運経済学会関西部会,神戸

miscellaneous

平田燕奈,松田琢磨(2022).  SNS データから見るポストコロナ時代の日本物流. 運輸と経済. 2022年08月号

平田燕奈(2019). ブロックチェーンが切り開く貿易物流. 日本海事新聞.