International Maritime Transport/Международные морские перевозки

Издание на английском языке
This publication addresses modern maritime transport management in a global economy, facing growing risks and the demands of sustainable development. The book examines the role of maritime transport in global trade, modern security threats, risk management, the use of telematics and intelligent systems, and integrated shipping management in high-risk areas. Special attention is paid to reducing greenhouse gas emissions, transitioning to net-zero emissions, evaluating container shipping efficiency, using management and statistical methods, selecting ports, carriers, and logistics operators, and analyzing maritime transport infrastructure.

Content
List of Figures
List of Tables
Acknowledgments
About the Authors
List of Abbreviations (Acronyms)
Introduction
Chapter 1. Maritime Transport in Global Economy
Ryszard K. Miler
1.1. A Notion of Maritime Transport Including its Taxonomic and Morphological Elements
1.2. The Signifcance of Maritime Transport for the Global Economy
1.3. Contemporary Challenges and Threats (Risks) to Modern Maritime Transport
1.3.1. Challenges Identifcation and the Notion of Safety/Security Threat to Modern Maritime Transport
1.3.2. Examples of Threats to Modern Maritime Transport (2018-2024)
1.3.3. Taxonomy of Challenges and Threats to Modern Maritime Transport (a Holistic Approach)
Chapter 2. Intelligent Management in Maritime Transport
Ryszard K. Miler
2.1. Risk and Risk Management in Maritime Transport
2.2. The Origin and Signifcance of Telematics Systems in Maritime Transport (Introduction of Transport Intelligence)
2.3. A Concept of Integration of Telematics Systems in Maritime Transport
Chapter 3. An Idea of Integrated Maritime Transport Management in Water Areas Characterized by Increased Risk to Shipping (Threats to Security and Asymmetric Activities)
Ryszard K. Miler and Andrzej Kuriata
3.1. Conditions for Integrating Systems Supporting Shipping Management and Risk Calculation in Maritime Transport
3.2. Modelling of Security Risk Management Processes in Maritime Transport in Water Areas Characterized by Increased Risk
3.3. A Concept of an Original Model for Integrated Management of Maritime Transport in Water Areas Characterized by Increased Risk (Immtir Model)
Chapter 4. Sustainable Development Requirements in the Pragmatics of Maritime Transport Management
Ryszard K. Miler and Akram Akoel
4.1. Maritime Transport as a GHG Emitter - Components of GHG/CO2 Emission and CO2 Equivalent in Maritime Transport (Identifcation of Factors from Shipping and Port Operations)
4.2. Methodology for Counting Externalities and GHG Emission in Maritime Transport in the Light of Challenges Posed to Sustainable Development
4.2.1. Bottom-Up Methodology
4.2.2. Top-Down Methodology
4.2.3. Methodology Applied in Maritime Ports/Terminals
4.3. A Model of Conversion Processes for Achieving Zero-Emission Standards in Maritime Transport Management (MTZECP)
4.3.1. Conversion of Processes for Achieving Zero-Emission Standards in Shipping (MTZECP Part I)
4.3.2. Conversion of Processes for Achieving Zero-Emission Standards in Port/Terminal Operations (MTZECP Part II)
Chapter 5. Global Maritime Transport Performance Index GMTPI(Containerized Cargo) in Strategic Management
Ryszard K. Miler, Akram Akoel and Mafgorzata Wach-Kloskowska
5.1. Holistic Identifcation of Determinants of Performance, Capabilities and Development in Strategic Management of Global Maritime Containerized Transport in the Event of Stochastic Shocks
5.2. The Model of Global Maritime Containerized Transport Performance Index GMTPI(Containerized Cargo) Based on The Matrix of Determinants
5.3. Global Maritime Transport Performance Index GMTPI(Containerized Cargo) Calculated for the Years 2018-2022
Chapter 6. Application of Selected Management Methods in the Decision-Making Process in Maritime Transport
Bohdan Pac and Tomasz Nowosielski
6.1. Identifcation of Bundles of Key Decision-Making Problems in The Field of Maritime Transport Management
6.2. Praxeological Triangle Criteria in the Process of Selecting Shipping Lines and Logistics Operators in Maritime Transport
6.2.1. A Praxeological Triangle as a Multi-Criteria Modelling Basis in the Decision-Making Process in Maritime Transport
6.2.2. The Process of Selecting a Shipping Line and a carrier/logistics Operator Based on the Data Obtained from the Market of Maritime Shipping Services
6.2.3. The Ranking List of the Potential Ports of Embarkation in the EU and Carriers/Logistics Operators Providing Shipping Lines to the Port of Disembarkation in Singapore, for 1 Forty-foot Equivalent Unit (1 FEU) (Based on the Discussed Multi-Criteria Model)
6.3. The Assessment of Logistics Capabilities of Seaports Based on the Compatibility Index Criteria in the Process of Selecting Seaports/Terminals in Maritime Transport
6.3.1. Parametrization as a Basis for Multi-Criteria Modelling in the Decision-Making Process in Maritime Transport
6.3.2. A Conceptual Model for the Parametric Evaluation of Logistics Capabilities of a Seaport in the Decision-Making Process Referring to the Selection of Port of Loading/ Embarkation
6.3.3. The Ranking List of the Selected Seaports in the Area of the Southern Baltic Sea, According to the Criterion of Logistics Capabilities (Based on the Discussed Conceptual Model)
Chapter 7. Application of Selected Statistical Methods for the Evaluation of the Functioning of Infrastructure in Maritime Transport
Akram Akoel and Matgorzata Wach-Kloskowska
7.1. Introduction to Maritime Transport Statistics - Justifcation for the Need to Apply Advanced Statistical Methods in Maritime Transport Management
7.2. Descriptive Statistics in Maritime Transport Infrastructure Evaluation
7.2.1. Bivariate and Multivariate Descriptive Analysis
7.2.2. Application of Time Series Analysis in Maritime Transport
7.2.3. Statistical Quality Control
7.3. Inferential Statistical Methods in Maritime Transport Infrastructure Evaluation
7.4. Applicability of Statistical Methods in the Pragmatics of Maritime Transport Management
7.4.1. Use of Regression and Correlation Analysis Techniques - Examples
7.4.2. Use of Time Series Analysis Examples
7.4.3. Use of Risk and Reliability Modeling Examples (Based on Statistical, Mathematical, and Simulation Tools)
7.4.4. Use of Trend Analysis Examples
Chapter 8. Management Perspectives
Ryszard Miler
8.1. Summary and Conclusions
Bibliography
Index