Global Logistics Network Modelling and Policy provides guidelines on quality policy, covering investments, management and planning for port and hinterland infrastructure, roads, railways and inland waterway ports. The book first describes the authors’ concept and formulation models, followed by a description and analysis of the applied data. As shipping companies fiercely compete in an effort to achieve greater efficiency and impact infrastructure policy and plan for the entire supply chain, they need tactics that drive quality transportation policy and new ways to model and simulate worldwide cargo movements, all while estimating demand and capacity of systems.
This book provides quantitative tools for modeling, analysis, and simulation of worldwide, inter-modal cargo movement – helping forecast the impacts of logistics and related policies in each region of the world. It covers useful applications for every region of the world, allowing policymakers to tailor results for their own specific uses.
1. Part One: General introduction - p. page_xv 2. 1: Introduction to global container shipping market - p. page_3 3. 2: A global analysis of hinterlands from a European perspective - p. page_31 4. 3: Cross-border logistics practices, policies, and its impact - p. page_47 5. 4: Basics of container demand forecast - p. page_71 6. Part Two: Model & Data - p. page_96 7. 5: Basic concept - p. page_99 8. 6: Global maritime container shipping model - p. page_105 9. 7: Intermodal transport super-network model - p. page_121 10. 8: Data [1] maritime container shipping and land transport network - p. page_135 11. 9: Data [2] container shipping demand for the present and future - p. page_165 12. Part Three: Application to the developing world - p. page_176 13. 10: Central America: Small countries with active border-crossing transport on land - p. page_178 14. 11: Greater Mekong Subregion: Is the Mekong River shipping competitive with other modes? - p. page_201 15. 12: South Asia: Impact simulations of logistics projects in India, Bangladesh, and Sri Lanka - p. page_223 16. 13: Central Asia: Typical landlocked region across Eurasian continent - p. page_253 17. 14: Pacific Islands: Small and dispersed ‘sea-locked’ islands - p. page_277 18. 15: Southern Africa: Overcoming corridor and border challenges for landlocked countries - p. page_301 19. 16: Belt and Road Initiative: How does China’s BRI encourage the use of international rail transport across the Eurasian continent? - p. page_321 20. Conclusion - p. page_337 21. Author Index - p. page_341 22. Subject Index - p. page_345
Global Logistics Network Modelling and Policy provides guidelines on quality policy, covering investments, management and planning for port and hinterland infrastructure, roads, railways and inland waterway ports. The book first describes the authors’ concept and formulation models, followed by a description and analysis of the applied data. As shipping companies fiercely compete in an effort to achieve greater efficiency and impact infrastructure policy and plan for the entire supply chain, they need tactics that drive quality transportation policy and new ways to model and simulate worldwide cargo movements, all while estimating demand and capacity of systems.
This book provides quantitative tools for modeling, analysis, and simulation of worldwide, inter-modal cargo movement – helping forecast the impacts of logistics and related policies in each region of the world. It covers useful applications for every region of the world, allowing policymakers to tailor results for their own specific uses.
1. Part One: General introduction - p. page_xv 2. 1: Introduction to global container shipping market - p. page_3 3. 2: A global analysis of hinterlands from a European perspective - p. page_31 4. 3: Cross-border logistics practices, policies, and its impact - p. page_47 5. 4: Basics of container demand forecast - p. page_71 6. Part Two: Model & Data - p. page_96 7. 5: Basic concept - p. page_99 8. 6: Global maritime container shipping model - p. page_105 9. 7: Intermodal transport super-network model - p. page_121 10. 8: Data [1] maritime container shipping and land transport network - p. page_135 11. 9: Data [2] container shipping demand for the present and future - p. page_165 12. Part Three: Application to the developing world - p. page_176 13. 10: Central America: Small countries with active border-crossing transport on land - p. page_178 14. 11: Greater Mekong Subregion: Is the Mekong River shipping competitive with other modes? - p. page_201 15. 12: South Asia: Impact simulations of logistics projects in India, Bangladesh, and Sri Lanka - p. page_223 16. 13: Central Asia: Typical landlocked region across Eurasian continent - p. page_253 17. 14: Pacific Islands: Small and dispersed ‘sea-locked’ islands - p. page_277 18. 15: Southern Africa: Overcoming corridor and border challenges for landlocked countries - p. page_301 19. 16: Belt and Road Initiative: How does China’s BRI encourage the use of international rail transport across the Eurasian continent? - p. page_321 20. Conclusion - p. page_337 21. Author Index - p. page_341 22. Subject Index - p. page_345
