Hirata Enna 平田燕奈

Researcher Number	20791891
Other IDs
Affiliation (Current)	2025: 神戸大学, 海事科学研究科, 教授 2025: 神戸大学, 数理・データサイエンスセンター, 特命教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 神戸大学, 海事科学研究科, 准教授 2022: 神戸大学, 数理・データサイエンスセンター, 特命教授 2021: 神戸大学, 数理・データサイエンスセンター, 特命准教授 2019: 神戸大学, 数理・データサイエンスセンター, 特命講師 2017 – 2018: 神戸大学, 経営学研究科, 研究員
Review Section/Research Field	Principal Investigator Basic Section 22050:Civil engineering plan and transportation engineering-related / Economic policy Except Principal Investigator Basic Section 25010:Social systems engineering-related
Keywords	Principal Investigator 物流拠点設計 / Blockchain / Logistics nodes / Physical Internet / トピックモデル / CO2排出削減 / Lin-Kernighanヒューリスティック / 遺伝的アルゴリズム / 物流ハブ / 輸送ルート最適化 … More / フィジカルインターネット / 海運経済学 / 経営工学 / 交通経済学 / market power / customer satisfaction / service differentiation / liner shipping / Price Cost Margins / Merger and Acquisition / SCP / Ordered Logit / Service Quality / Service Characteristics / Container Liner Shipping / bankruptcy / profitability / firm performance / Z-score / mergers and acquisitions / container shipping / Economy of Scale / Customer Satisfaction / Firm performance / M&As / Mergers and Acquisitions / Decision making / Digitization / Market power … More Except Principal Investigator 環境負荷低減 / 運用効率化 / デジタル化 / 国際海運 / スマート港湾 Less

Design of logistics hubs in the context of Physical InternetPrincipal Investigator
- Principal Investigator
  
  平田燕奈
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 22050:Civil engineering plan and transportation engineering-related
- Research Institution
  Kobe University
Research on Operational Efficiency and Environmental Impact Reduction of Marine and Land Transportation in Smart Ports
- Principal Investigator
  
  渡部大輔
- Project Period (FY)
  2021 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 25010:Social systems engineering-related
- Research Institution
  Tokyo University of Marine Science and Technology
Measuring Market Power in Container Liner Shipping IndustryPrincipal Investigator
- Principal Investigator
  
  Hirata Enna
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Economic policy
- Research Institution
  Kobe University

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] 新国際物流論基礎からDXまで2022
- Author(s)
  平田　燕奈、松田　琢磨、渡部　大輔
- Total Pages
  228
- Publisher
  晃洋書房
- ISBN
  9784771036727
- Data Source
  KAKENHI-PROJECT-23K21015
[Journal Article] Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review2024
- Author(s)
  Hirata Enna、Hansen Annette Skovsted
- Journal Title
  
  Logistics
  
  Volume: 8 Issue: 1 Pages: 23-23
- DOI
  10.3390/logistics8010023
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K04076, KAKENHI-PROJECT-23K21015
[Journal Article] Logistics Hub and Route Optimization in the Physical Internet Paradigm2024
- Author(s)
  Naganawa Hisatoshi、Hirata Enna、Firdausiyah Nailah、Thompson Russell G.
- Journal Title
  
  Logistics
  
  Volume: 8 Issue: 2 Pages: 37-37
- DOI
  10.3390/logistics8020037
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K04076
[Journal Article] 高速道路におけるトラック隊列走行・自動運転に対応した物流拠点の整備に関する研究2023
- Author(s)
  渡部大輔，平田輝満，坂井孝典，根本敏則，兵藤哲朗
- Journal Title
  
  日本物流学会誌
  
  Volume: 31 Pages: 57-64
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K21015
[Journal Article] A Study on Market Forecast of International Logistics Using Natural Language Processing- Based on a Questionnaire Survey for Major Freight Forwarders in Japan-2022
- Author(s)
  Watanabe, D., Hirata, E. and Lambrou, M.
- Journal Title
  
  Proceedings of the 30th Annual Conference of the International Association of Maritime Economists (IAME)
  
  Volume: 30 Pages: 2301-2313
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21015
[Journal Article] Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment2022
- Author(s)
  Enna Hirata and Takuma Matsuda
- Journal Title
  
  Journal of Marine Science and Engineering
  
  Volume: 10(5) Issue: 5 Pages: 593-593
- DOI
  10.3390/jmse10050593
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K22129, KAKENHI-PROJECT-23K21015
[Journal Article] Real-Time Management of Vessel Carbon Dioxide Emissions Based on Automatic Identification System Database Using Deep Learning2021
- Author(s)
  Wang Y., Watanabe D., Hirata E., and Toriumi S.
- Journal Title
  
  Journal of Marine Science and Engineering
  
  Volume: 9(8) Issue: 8 Pages: 871-871
- DOI
  10.3390/jmse9080871
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K21015
[Journal Article] Similarity between Digital Platforms; A Machine Learning Approach2021
- Author(s)
  Hirata, E., Lambrou, M., and Watanabe, D.
- Journal Title
  
  Proceedings of 29th Annual Conference of the International Association of Maritime Economists (IAME)
  
  Volume: 29 Pages: 1-16
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21015
[Journal Article] An Econometrical Approach to Assess the Impact of Mergers and Acquisitions in the Container Shipping Industry2020
- Author(s)
  T. Matsuda, E. Hirata, T. Kawasaki
- Journal Title
  
  Research in Transportation Business & Management
  
  Volume: -
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K03686
[Journal Article] Applications of Blockchain Technology in Supply Chain Management: Insights from Machine Learning Algorithms2020
- Author(s)
  Hirata, E., Lambrou, M., and Watanabe, D.
- Journal Title
  
  Maritime Business Review
  
  Volume: 6(2) Issue: 2 Pages: 1-15
- DOI
  10.1108/mabr-07-2020-0043
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K04601, KAKENHI-PROJECT-23K21015
[Journal Article] Service characteristics and customer satisfaction in the container liner shipping industry2019
- Author(s)
  Hirata Enna
- Journal Title
  
  The Asian Journal of Shipping and Logistics
  
  Volume: 35 Issue: 1 Pages: 24-29
- DOI
  10.1016/j.ajsl.2019.03.004
- NAID
  120006886650
- Data Source
  KAKENHI-PROJECT-17K03686
[Journal Article] Service recovery and customer satisfaction in container liner shipping industry: An ordered LOGIT approach2019
- Author(s)
  Enna Hirata
- Journal Title
  
  International Journal of Shipping and Transport Logistics
  
  Volume: -
- NAID
  120006938924
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K03686
[Presentation] 自然言語処理を用いた海運市況における景況感に関する分析2023
- Author(s)
  渡部大輔, 平田燕奈, 松田琢磨
- Organizer
  日本海運経済学会第57回研究報告会
- Data Source
  KAKENHI-PROJECT-23K21015
[Presentation] NLP-Based Analysis of Key Themes in Maritime Industry Decarbonization2023
- Author(s)
  Hirata, E., Li, K.X. and Watanabe, D.
- Organizer
  31th Annual Conference of the International Association of Maritime Economists (IAME)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21015
[Presentation] 物流倉庫におけるピッキングの最適化2023
- Author(s)
  上野大樹、平田燕奈
- Organizer
  2023土木計画研究会秋大会
- Data Source
  KAKENHI-PROJECT-23K04076
[Presentation] フィジカルインターネットにおける物流拠点の最適立地と配送ルートの最適化2023
- Author(s)
  長縄尚駿、平田燕奈
- Organizer
  2023土木計画研究会秋大会
- Data Source
  KAKENHI-PROJECT-23K04076
[Presentation] Research Topics and Methods in Maritime Decarbonization: A Natural Language Processing Approach2023
- Author(s)
  Enna Hirata, Kevin X. Li, Daisuke Watanabe
- Organizer
  IAME 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K04076
[Presentation] A Study on Market Forecast of International Logistics Using Natural Language Processing- Based on a Questionnaire Survey for Major Freight Forwarders in Japan-2022
- Author(s)
  Watanabe, D., Hirata, E. and Lambrou, M.
- Organizer
  30th Annual Conference of the International Association of Maritime Economists (IAME)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21015
[Presentation] 幹線輸送におけるダブル連結トラックと自動運転・隊列走行の普及に向けた物流拠点の整備に関する研究2021
- Author(s)
  渡部大輔, 平田輝満, 兵藤哲朗
- Organizer
  日本物流学会第38回全国大会
- Data Source
  KAKENHI-PROJECT-23K21015
[Presentation] Similarity between Digital Platforms; A Machine Learning Approach2021
- Author(s)
  Hirata, E., Lambrou, M., and Watanabe, D.
- Organizer
  29th Annual Conference of the International Association of Maritime Economists (IAME)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K21015
[Presentation] Measuring structure-conduct-performance in the container shipping market2019
- Author(s)
  Enna Hirata
- Organizer
  International Association of Maritime Economists
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K03686
[Presentation] コンテナ海運業における M＆A の経済的効果2019
- Author(s)
  松田琢磨，川崎智也，平田燕奈
- Organizer
  日本物流学会年次大会
- Data Source
  KAKENHI-PROJECT-17K03686
[Presentation] Service Characteristics and Customer Satisfaction in Container Liner Shipping Industry2018
- Author(s)
  Enna Hirata
- Organizer
  The 11th International Conference of Asian Shipping and Logistics (ICASL 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K03686
[Presentation] Service recovery and customer satisfaction in container liner shipping industry2017
- Author(s)
  Enna Hirata
- Organizer
  International Association of Maritime Economists
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K03686
[Presentation] Service recovery and customer satisfaction in container liner shipping industry2017
- Author(s)
  Enna Hirata
- Organizer
  日本海運経済学会
- Data Source
  KAKENHI-PROJECT-17K03686

1. 渡部大輔 (30435771)

# of Collaborated Projects: 1 results

# of Collaborated Products: 11 results
2. 近藤智士 (10848336)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 鳥海重喜 (60455441)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
4. 松田琢磨

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Hirata Enna 平田 燕奈

Research Projects

Research Products

Co-Researchers

Design of logistics hubs in the context of Physical InternetPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Research on Operational Efficiency and Environmental Impact Reduction of Marine and Land Transportation in Smart Ports

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Measuring Market Power in Container Liner Shipping IndustryPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] 新国際物流論 基礎からDXまで2022

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Logistics Hub and Route Optimization in the Physical Internet Paradigm2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 高速道路におけるトラック隊列走行・自動運転に対応した物流拠点の整備に関する研究2023

Author(s)

Journal Title

Data Source

[Journal Article] A Study on Market Forecast of International Logistics Using Natural Language Processing- Based on a Questionnaire Survey for Major Freight Forwarders in Japan-2022

Author(s)

Journal Title

Data Source

[Journal Article] Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Real-Time Management of Vessel Carbon Dioxide Emissions Based on Automatic Identification System Database Using Deep Learning2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Similarity between Digital Platforms; A Machine Learning Approach2021

Author(s)

Journal Title

Data Source

[Journal Article] An Econometrical Approach to Assess the Impact of Mergers and Acquisitions in the Container Shipping Industry2020

Author(s)

Journal Title

Data Source

[Journal Article] Applications of Blockchain Technology in Supply Chain Management: Insights from Machine Learning Algorithms2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Service characteristics and customer satisfaction in the container liner shipping industry2019

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] Service recovery and customer satisfaction in container liner shipping industry: An ordered LOGIT approach2019

Author(s)

Journal Title

NAID

Data Source

Hirata Enna 平田燕奈

[Book] 新国際物流論基礎からDXまで2022