Ducruet | Advances in Shipping Data Analysis and Modeling | E-Book | sack.de
E-Book

E-Book, Englisch, 480 Seiten

Reihe: Routledge Studies in Transport Analysis

Ducruet Advances in Shipping Data Analysis and Modeling

Tracking and Mapping Maritime Flows in the Age of Big Data

E-Book, Englisch, 480 Seiten

Reihe: Routledge Studies in Transport Analysis

ISBN: 978-1-351-98509-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Shipping flows – maritime ‘footprints’ – remain underexplored in the existing literature despite the crucial importance of freight transport for global trade and economic development. Additionally, decision-makers lack a comprehensive view on how shipping flows can be measured, analyzed, and mapped in order to support their policies and strategies. This interdisciplinary volume, drawing on an international cast-list of experts, explores a number of crucial issues in shipping data estimation, construction, collection, mining, analysis, visualization, and mapping.

The book delivers several key messages. First, that in a world of just-in-time delivery and rapid freight transit, it is important to bear in mind the long-term roots of current trends as well as foreseeable future developments because shipping patterns exhibit recurrent, if not cyclical and path-dependent, dynamics. Second, shipping flows are currently often understood at the micro-level of intra-urban logistics delivery and at the national level using commodity flow analyses but this volume emphasises the need to expand the scale of analysis by offering new evidence on the changing distribution of global and international shipping flows, based on actual data. Third, that this multidisciplinary approach to shipping flows can shed important light on crucial issues that go beyond shipping itself including climate change, urban development, technological change, commodity specialization, digital humanities, navigation patterns, international trade, and regional growth.
Ducruet Advances in Shipping Data Analysis and Modeling jetzt bestellen!

Weitere Infos & Material


1. Introduction to shipping data analysis

Part I: Tackling global issues with shipping data

2. Climatic dynamics in the past and future

3. The path-dependent multiplexity of global shipping flows

4. Technological change: from sail to steam

5. Predicting the effects of Arctic sea-ice melting

6. Assessing shipping route vulnerability

Part II: Shipping data processing and mining

7. Winds and maritime linkages in Ancient Greece

8. Reconstitution of Roman Empire routes

9. Spatio-temporal data analysis of ship to ship interactions in 19th century high seas

10. Vessel tracking data usage to map Mediterranean flows

11. Identification of fishing zones in France using AIS data

12. Vessel navigation constraints in Canadian Arctic waters

Part III: Geospatial analysis of shipping data

13. Global cities connected by shipping flows

14. Inland and maritime accessibility in Europe

15. Local determinants of interregional shipping flows

16. Spatial network modeling to map global topological changes

17. GIS-based analysis of US international seaborne trade flows

Part IV: Unraveling geopolitical change with shipping data

18. Northwest Africa from colonial to global shipping

19. Partition and independence in the Indian subcontinent

20. Impact of USSR collapse on global shipping circulations

21. Shipping connectivity constraints in the Taiwan Strait

22. Geopolitics of shipping from a North Korean perspective

Part V: Shipping data and global-local connectivity

23. China’s international liner shipping connections

24. Liner shipping linkages of main Portuguese ports

25. Articulating coastal and ocean shipping in Brazil

26. Port competition in the Black Sea and East Med ranges

27. People and cargo shipping flows dynamics in the Arctic region


César Ducruet, French National Centre for Scientific Research, Géographie-cités laboratory, University of Paris I Panthéon-Sorbonne, France


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.