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Books > Business & Economics > Industry & industrial studies > Transport industries > Shipping industries > Maritime / nautical trades
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Maritime Networks - Spatial structures and time dynamics (Hardcover)
Loot Price: R4,569
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Maritime Networks - Spatial structures and time dynamics (Hardcover)
Series: Routledge Studies in Transport Analysis
Expected to ship within 10 - 15 working days
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Maritime transport is one of the most ancient supports to human
interactions across history and it still supports more than 90% of
world trade volumes today. The changing connectivity of maritime
networks is of crucial importance to port, transport, and economic
development and planning. The way ports, terminals, but also
cities, regions and countries, are connected with each other
through maritime flows is not well-known and difficult to represent
and measure, even for the transport actors themselves. There is a
strong, urgent need for reviewing the relevant theories, concepts,
methods, and sources that can be mobilized for the analysis of
maritime networks. With contributions from reputable scholars from
all over the world, this book investigates the analysis of maritime
flows and networks from diverse disciplinary angles going across
archaeology, history, geography, regional science, economics,
mathematics, physics, and computer sciences. Based on a vast array
of methods, such as Geographical Information Systems (GIS), spatial
analysis, complex networks, modelling, and simulation, it addresses
several crucial issues related with port hierarchy; route density;
modal interdependency; network robustness and vulnerability;
traffic concentration and seasonality; technological change and
urban/regional economic development. This book examines new
evidence about how socio-economic trends are reflected (but also
influenced) by maritime flows and networks, and about the way this
knowledge can support and enhance decision-making in relation to
the development of ports, supply chains, and transport networks in
general. This book is an ideal companion to anyone interested in
the network analysis of transport systems and economic systems in
general, as well as the effective ways to analyse large datasets to
answer complex issues in transportation and socio-economic
development.
General
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